From 941fa3a03f0d8893f886a8219d3ecc4d775633eb Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Wed, 29 May 2024 22:09:47 -0400 Subject: [PATCH 01/22] replaced hard coding of expr(USUBJID, STUDYID) or expr(USUBJID) with !!!get_admiral_option("subject_keys") to allow for flexibility in using the function. There is an error in the bds_exposure.Rmd markdown on line 361, chunk 22 that needs to be fixed. --- inst/templates/ad_adae.R | 8 ++++---- inst/templates/ad_adcm.R | 6 +++--- inst/templates/ad_adeg.R | 26 +++++++++++++------------- inst/templates/ad_adex.R | 22 +++++++++++----------- inst/templates/ad_adlb.R | 34 +++++++++++++++++----------------- inst/templates/ad_adlbhy.R | 6 +++--- inst/templates/ad_admh.R | 26 +++++++++++++------------- inst/templates/ad_adpc.R | 28 ++++++++++++++-------------- inst/templates/ad_adpp.R | 4 ++-- inst/templates/ad_adppk.R | 22 +++++++++++----------- inst/templates/ad_adsl.R | 20 ++++++++++---------- inst/templates/ad_advs.R | 30 +++++++++++++++--------------- 12 files changed, 116 insertions(+), 116 deletions(-) diff --git a/inst/templates/ad_adae.R b/inst/templates/ad_adae.R index e68fcd1d4d..de274accfd 100644 --- a/inst/templates/ad_adae.R +++ b/inst/templates/ad_adae.R @@ -40,7 +40,7 @@ adae <- ae %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by = exprs(STUDYID, USUBJID) + by = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Derive analysis start time ---- derive_vars_dtm( @@ -88,7 +88,7 @@ adae <- adae %>% ## Derive last dose date/time ---- derive_vars_joined( dataset_add = ex_ext, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -116,7 +116,7 @@ adae <- adae %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(desc(ASEVN), ASTDTM, AESEQ), new_var = AOCCIFL, mode = "first" @@ -128,7 +128,7 @@ adae <- adae %>% adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) diff --git a/inst/templates/ad_adcm.R b/inst/templates/ad_adcm.R index e80ed2032a..2b3702b139 100644 --- a/inst/templates/ad_adcm.R +++ b/inst/templates/ad_adcm.R @@ -36,7 +36,7 @@ adcm <- cm %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by = exprs(STUDYID, USUBJID) + by = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Derive analysis start time ---- derive_vars_dtm( @@ -97,7 +97,7 @@ adcm <- adcm %>% derivation = derive_var_extreme_flag, args = params( new_var = AOCCPFL, - by_vars = exprs(USUBJID, CMDECOD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), CMDECOD), order = exprs(ASTDTM, CMSEQ), mode = "first" ), @@ -132,7 +132,7 @@ adcm <- adcm %>% adcm <- adcm %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) diff --git a/inst/templates/ad_adeg.R b/inst/templates/ad_adeg.R index 617ce24244..abdd5414af 100644 --- a/inst/templates/ad_adeg.R +++ b/inst/templates/ad_adeg.R @@ -105,7 +105,7 @@ adeg <- eg %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Calculate ADTM, ADY ---- derive_vars_dtm( @@ -133,7 +133,7 @@ adeg <- adeg %>% # Derive RRR derive_param_rr( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), set_values_to = exprs(PARAMCD = "RRR"), hr_code = "HR", get_unit_expr = tolower(EGSTRESU), @@ -141,7 +141,7 @@ adeg <- adeg %>% ) %>% # Derive QTCBR derive_param_qtc( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), method = "Bazett", set_values_to = exprs(PARAMCD = "QTCBR"), qt_code = "QT", @@ -151,7 +151,7 @@ adeg <- adeg %>% ) %>% # Derive QTCFR derive_param_qtc( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), method = "Fridericia", set_values_to = exprs(PARAMCD = "QTCFR"), qt_code = "QT", @@ -161,7 +161,7 @@ adeg <- adeg %>% ) %>% # Derive QTLCR derive_param_qtc( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), method = "Sagie", set_values_to = exprs(PARAMCD = "QTLCR"), qt_code = "QT", @@ -198,7 +198,7 @@ adeg <- adeg %>% adeg <- adeg %>% derive_summary_records( dataset_add = adeg, - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT), filter_add = dplyr::n() >= 2 & PARAMCD != "EGINTP", set_values_to = exprs( AVAL = mean(AVAL, na.rm = TRUE), @@ -241,7 +241,7 @@ adeg <- adeg %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(STUDYID, USUBJID, BASETYPE, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, VISITNUM, EGSEQ), new_var = ABLFL, mode = "last" @@ -256,19 +256,19 @@ adeg <- adeg %>% adeg <- adeg %>% # Calculate BASE derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) %>% # Calculate BASEC derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVALC, new_var = BASEC ) %>% # Calculate BNRIND derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) %>% @@ -282,7 +282,7 @@ adeg <- adeg %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(USUBJID, PARAMCD, AVISIT, ATPT, DTYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), order = exprs(ADT, AVAL), new_var = ANL01FL, mode = "last" @@ -302,7 +302,7 @@ adeg <- adeg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN, DTYPE), check_type = "error" ) %>% @@ -325,7 +325,7 @@ adeg <- adeg %>% adeg <- adeg %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index 822386ac00..c449c693b7 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -37,13 +37,13 @@ ex <- convert_blanks_to_na(ex) ex <- ex %>% mutate( EXADJ = case_when( - USUBJID == "01-701-1034" & VISIT %in% c("WEEK 2", "WEEK 24") ~ "ADVERSE EVENT", - USUBJID == "01-701-1148" & VISIT %in% c("WEEK 24") ~ "MEDICATION ERROR", + USUBJID == "01-701-1034" & VISIT %in% c("WEEK 2", "WEEK 24") ~ "ADVERSE EVENT", + USUBJID == "01-701-1148" & VISIT %in% c("WEEK 24") ~ "MEDICATION ERROR", TRUE ~ NA_character_ ), EXDOSE = case_when( - USUBJID == "01-701-1034" & VISIT %in% c("WEEK 2", "WEEK 24") ~ 0, - USUBJID == "01-701-1148" & VISIT %in% c("WEEK 24") ~ 0, + USUBJID == "01-701-1034" & VISIT %in% c("WEEK 2", "WEEK 24") ~ 0, + USUBJID == "01-701-1148" & VISIT %in% c("WEEK 24") ~ 0, TRUE ~ EXDOSE ) ) %>% @@ -63,7 +63,7 @@ adex0 <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Calculate ASTDTM, AENDTM using `derive_vars_dtm()` ---- derive_vars_dtm( @@ -159,7 +159,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars) + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars) ) %>% # W2-W24 exposure call_derivation( @@ -208,7 +208,7 @@ adex <- adex %>% ), dataset_add = adex, filter_add = VISIT %in% c("WEEK 2", "WEEK 24"), - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars) + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars) ) %>% # Overall Dose intensity and W2-24 dose intensity call_derivation( @@ -226,7 +226,7 @@ adex <- adex %>% ) ), by_vars = exprs( - STUDYID, USUBJID, !!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT + !!!get_admiral_option("subject_keys"), !!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT ) ) %>% # Overall/W2-24 Average daily dose @@ -249,7 +249,7 @@ adex <- adex %>% ) ), by_vars = exprs( - STUDYID, USUBJID, !!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT + !!!get_admiral_option("subject_keys"), !!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT ) ) @@ -306,7 +306,7 @@ adex <- adex %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARCAT1, ASTDT, VISIT, VISITNUM, EXSEQ, PARAMN), check_type = "error" ) @@ -315,7 +315,7 @@ adex <- adex %>% adex <- adex %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adlb.R b/inst/templates/ad_adlb.R index cb99ade60e..a02c7a6c91 100644 --- a/inst/templates/ad_adlb.R +++ b/inst/templates/ad_adlb.R @@ -92,7 +92,7 @@ adlb <- lb %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -126,7 +126,7 @@ adlb <- adlb %>% adlb <- adlb %>% # Derive absolute Basophils derive_param_wbc_abs( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), set_values_to = exprs( PARAMCD = "BASO", PARAM = "Basophils Abs (10^9/L)", @@ -139,7 +139,7 @@ adlb <- adlb %>% ) %>% # Derive absolute Lymphocytes derive_param_wbc_abs( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), set_values_to = exprs( PARAMCD = "LYMPH", PARAM = "Lymphocytes Abs (10^9/L)", @@ -191,7 +191,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(STUDYID, USUBJID, BASETYPE, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, VISITNUM, LBSEQ), new_var = ABLFL, mode = "last" @@ -203,19 +203,19 @@ adlb <- adlb %>% adlb <- adlb %>% # Calculate BASE derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) %>% # Calculate BASEC derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVALC, new_var = BASEC ) %>% # Calculate BNRIND derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) %>% @@ -289,19 +289,19 @@ adlb <- adlb %>% derive_var_atoxgr() %>% # Derive baseline toxicity grade for low values BTOXGRL derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ATOXGRL, new_var = BTOXGRL ) %>% # Derive baseline toxicity grade for high values BTOXGRH derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ATOXGRH, new_var = BTOXGRH ) %>% # Derive baseline toxicity grade for for overall grade BTOXGR derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ATOXGR, new_var = BTOXGR ) @@ -348,7 +348,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(USUBJID, PARAMCD, AVISIT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT), order = exprs(ADT, AVAL), new_var = ANL01FL, mode = "last" @@ -358,7 +358,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT, AVAL), new_var = LVOTFL, mode = "last" @@ -381,7 +381,7 @@ adlb <- adlb %>% # get MINIMUM value derive_extreme_records( dataset_add = adlb, - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), order = exprs(AVAL, ADT, AVISITN), mode = "first", filter_add = (!is.na(AVAL) & ONTRTFL == "Y"), @@ -394,7 +394,7 @@ adlb <- adlb %>% # get MAXIMUM value derive_extreme_records( dataset_add = adlb, - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), order = exprs(desc(AVAL), ADT, AVISITN), mode = "first", filter_add = (!is.na(AVAL) & ONTRTFL == "Y"), @@ -407,7 +407,7 @@ adlb <- adlb %>% # get LOV value derive_extreme_records( dataset_add = adlb, - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), order = exprs(ADT, AVISITN), mode = "last", filter_add = (ONTRTFL == "Y"), @@ -423,7 +423,7 @@ adlb <- adlb %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM), check_type = "error" ) @@ -432,7 +432,7 @@ adlb <- adlb %>% adlb <- adlb %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index c9591fe9a9..0870bfc55e 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -32,7 +32,7 @@ adlb_annotated <- adlb %>% ., derivation = derive_var_merged_exist_flag, dataset_add = ., - by_vars = exprs(USUBJID, LBSEQ, PARAMCD, ADT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), LBSEQ, PARAMCD, ADT), variable_params = list( params( new_var = CRIT1FL, @@ -56,7 +56,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADY), join_type = "all", filter_join = ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", @@ -79,7 +79,7 @@ hylaw_params <- derive_param_exist_flag( condition = CRIT1FL == "Y" & BILI_CRITFL == "Y", false_value = "N", missing_value = "N", - by_vars = exprs(STUDYID, USUBJID, TRT01A), # add AVISIT, ADT for by visit + by_vars = exprs(!!!get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit set_values_to = exprs( PARAMCD = "HYSLAW", PARAM = "ALT/AST >= 3xULN and BILI >= 2xULN" diff --git a/inst/templates/ad_admh.R b/inst/templates/ad_admh.R index 7bf9c66bd4..9e80b09ab1 100644 --- a/inst/templates/ad_admh.R +++ b/inst/templates/ad_admh.R @@ -41,7 +41,7 @@ admh <- mh %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Derive dates (ASTDT, AEDT, ...) ---- # Derive analysis start date and flag @@ -82,39 +82,39 @@ admh <- mh %>% )) %>% ## Derive occurrence flags ---- derive_var_extreme_flag( - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ASTDT, MHSEQ), new_var = AOCCFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = exprs(USUBJID, MHBODSYS), - order = exprs(USUBJID, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + by_vars = exprs(!!!get_admiral_option("subject_keys"), MHBODSYS), + order = exprs(!!!get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCCSFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = exprs(USUBJID, MHDECOD), - order = exprs(USUBJID, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + by_vars = exprs(!!!get_admiral_option("subject_keys"), MHDECOD), + order = exprs(!!!get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCCPFL, mode = "first" ) %>% # (company specific occurrence flag variables derivation) derive_var_extreme_flag( - by_vars = exprs(USUBJID), - order = exprs(USUBJID, AHIST, ASTDT, MHSEQ), + by_vars = exprs(!!!get_admiral_option("subject_keys")), + order = exprs(!!!get_admiral_option("subject_keys"), AHIST, ASTDT, MHSEQ), new_var = AOCPFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = exprs(USUBJID, MHBODSYS), - order = exprs(USUBJID, AHIST, MHBODSYS, MHCAT, ASTDT, MHSEQ), + by_vars = exprs(!!!get_admiral_option("subject_keys"), MHBODSYS), + order = exprs(!!!get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, ASTDT, MHSEQ), new_var = AOCPSFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = exprs(USUBJID, MHDECOD), - order = exprs(USUBJID, AHIST, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + by_vars = exprs(!!!get_admiral_option("subject_keys"), MHDECOD), + order = exprs(!!!get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCPPFL, mode = "first" ) %>% @@ -159,7 +159,7 @@ admh <- restrict_derivation( admh <- admh %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index d71621740b..a307f86636 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -75,7 +75,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -102,7 +102,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -149,7 +149,7 @@ ex_exp <- ex_dates %>% lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, keep_source_vars = exprs( - STUDYID, USUBJID, EVID, EXDOSFRQ, EXDOSFRM, + !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars @@ -182,7 +182,7 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(STUDYID, USUBJID, DRUG) + by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -199,7 +199,7 @@ adpc_first_dose <- pc_dates %>% adpc_prev <- adpc_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -218,7 +218,7 @@ adpc_prev <- adpc_first_dose %>% adpc_next <- adpc_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_next = ADTM, EXDOSE_next = EXDOSE, AVISIT_next = AVISIT, @@ -237,7 +237,7 @@ adpc_next <- adpc_prev %>% adpc_nom_prev <- adpc_next %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -253,7 +253,7 @@ adpc_nom_prev <- adpc_next %>% adpc_nom_next <- adpc_nom_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_next = NFRLT), join_vars = exprs(NFRLT), @@ -433,7 +433,7 @@ dtype <- adpc_aval %>% # ---- Combine original records and DTYPE copy records ---- adpc_dtype <- bind_rows(adpc_aval, dtype) %>% - arrange(STUDYID, USUBJID, BASETYPE, ADTM, NFRLT) %>% + arrange(USUBJID, BASETYPE, ADTM, NFRLT) %>% mutate( # Derive MRRLT, ANL01FL and ANL02FL MRRLT = if_else(ARRLT < 0, 0, ARRLT), @@ -445,7 +445,7 @@ adpc_dtype <- bind_rows(adpc_aval, dtype) %>% adpc_base <- adpc_dtype %>% derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, PARCAT1, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), source_var = AVAL, new_var = BASE, filter = ABLFL == "Y" @@ -459,7 +459,7 @@ adpc_aseq <- adpc_chg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM, BASETYPE, EVID, AVISITN, ATPTN, PARCAT1, DTYPE), check_type = "error" ) %>% @@ -479,13 +479,13 @@ adpc_baselines <- adpc_aseq %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN, HTBLU = VSSTRESU) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN, WTBLU = VSSTRESU) ) %>% mutate( @@ -499,7 +499,7 @@ adpc_baselines <- adpc_aseq %>% adpc <- adpc_baselines %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adpp.R b/inst/templates/ad_adpp.R index dd7ab444ff..7d5217faf9 100644 --- a/inst/templates/ad_adpp.R +++ b/inst/templates/ad_adpp.R @@ -87,7 +87,7 @@ adpp_pp <- pp %>% derive_vars_merged( dataset_add = admiral_adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -145,7 +145,7 @@ adpp_avisit <- adpp_aval %>% adpp <- adpp_avisit %>% derive_vars_merged( dataset_add = select(admiral_adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index 70cb76bf9b..d100d968b9 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -54,7 +54,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -79,7 +79,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -126,7 +126,7 @@ ex_exp <- ex_dates %>% lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, keep_source_vars = exprs( - STUDYID, USUBJID, EVID, EXDOSFRQ, EXDOSFRM, + !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars @@ -158,7 +158,7 @@ adppk_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM, EXDOSE_first = EXDOSE), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(STUDYID, USUBJID, DRUG) + by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -175,7 +175,7 @@ adppk_first_dose <- pc_dates %>% adppk_prev <- adppk_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -194,7 +194,7 @@ adppk_prev <- adppk_first_dose %>% adppk_nom_prev <- adppk_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -321,7 +321,7 @@ adppk_aseq <- adppk_aval %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(AFRLT, EVID, CMT), check_type = "error" ) %>% @@ -416,18 +416,18 @@ covar_vslb <- covar %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN) ) %>% derive_vars_transposed( dataset_merge = labsbl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), key_var = LBTESTCDB, value_var = LBSTRESN ) %>% @@ -454,7 +454,7 @@ covar_vslb <- covar %>% adppk <- adppk_aseq %>% derive_vars_merged( dataset_add = covar_vslb, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% arrange(STUDYIDN, USUBJIDN, AFRLT, EVID) %>% mutate(RECSEQ = row_number()) diff --git a/inst/templates/ad_adsl.R b/inst/templates/ad_adsl.R index e97e9e2c66..c72f056efd 100644 --- a/inst/templates/ad_adsl.R +++ b/inst/templates/ad_adsl.R @@ -130,7 +130,7 @@ adsl <- dm %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## derive treatment end date (TRTEDTM) ---- derive_vars_merged( @@ -141,7 +141,7 @@ adsl <- dm %>% new_vars = exprs(TRTEDTM = EXENDTM, TRTETMF = EXENTMF), order = exprs(EXENDTM, EXSEQ), mode = "last", - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Derive treatment end/start date TRTSDT/TRTEDT ---- derive_vars_dtm_to_dt(source_vars = exprs(TRTSDTM, TRTEDTM)) %>% @@ -160,27 +160,27 @@ ds_ext <- derive_vars_dt( adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(SCRFDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD == "SCREEN FAILURE" ) %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(EOSDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD != "SCREEN FAILURE" ) %>% # EOS status derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), filter_add = DSCAT == "DISPOSITION EVENT", new_vars = exprs(EOSSTT = format_eosstt(DSDECOD)) ) %>% # Last retrieval date derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(FRVDT = DSSTDT), filter_add = DSCAT == "OTHER EVENT" & DSDECOD == "FINAL RETRIEVAL VISIT" ) %>% @@ -188,7 +188,7 @@ adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, filter_add = DSDECOD == "RANDOMIZED", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(RANDDT = DSSTDT) ) %>% # Death date - impute partial date to first day/month @@ -213,7 +213,7 @@ adsl <- adsl %>% ) %>% # Cause of Death and Traceability Variables derive_vars_extreme_event( - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -246,7 +246,7 @@ adsl <- adsl %>% adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -289,7 +289,7 @@ adsl <- adsl %>% ) %>% derive_var_merged_exist_flag( dataset_add = ex, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_var = SAFFL, condition = (EXDOSE > 0 | (EXDOSE == 0 & str_detect(EXTRT, "PLACEBO"))) ) %>% diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index 3c1106b4b4..06fb2210d0 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -81,7 +81,7 @@ advs <- vs %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -109,27 +109,27 @@ advs <- advs %>% # Derive Mean Arterial Pressure derive_param_map( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) ) %>% # Derive Body Surface Area derive_param_bsa( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(USUBJID) + constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Derive Body Mass Index derive_param_bmi( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(USUBJID) + constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) ) @@ -157,7 +157,7 @@ advs <- advs %>% advs <- advs %>% derive_summary_records( dataset_add = advs, - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT, ADY), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT, ADY), filter_add = !is.na(AVAL), set_values_to = exprs( AVAL = mean(AVAL), @@ -196,7 +196,7 @@ advs <- advs %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(STUDYID, USUBJID, BASETYPE, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, VISITNUM, VSSEQ), new_var = ABLFL, mode = "last" @@ -209,19 +209,19 @@ advs <- advs %>% advs <- advs %>% # Calculate BASE derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) %>% # Calculate BASEC derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVALC, new_var = BASEC ) %>% # Calculate BNRIND derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) %>% @@ -237,7 +237,7 @@ advs <- advs %>% derivation = derive_var_extreme_flag, args = params( new_var = ANL01FL, - by_vars = exprs(USUBJID, PARAMCD, AVISIT, ATPT, DTYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), order = exprs(ADT, AVAL), mode = "last" ), @@ -252,7 +252,7 @@ advs <- advs %>% # Create End of Treatment Record derive_extreme_records( dataset_add = advs, - by_vars = exprs(STUDYID, USUBJID, PARAMCD, ATPTN), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, ATPTN), order = exprs(ADT, AVISITN, AVAL), mode = "last", filter_add = (4 < AVISITN & AVISITN <= 13 & ANL01FL == "Y" & is.na(DTYPE)), @@ -272,7 +272,7 @@ advs <- advs %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN, DTYPE), check_type = "error" ) %>% @@ -287,7 +287,7 @@ advs <- advs %>% advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels From fd5a2922b3103b0c722aaf711ec32456cf3d1188 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Thu, 30 May 2024 10:43:40 -0400 Subject: [PATCH 02/22] merged with changes from origin main --- inst/templates/ad_advs.R | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index 79aa2c66fd..a521998270 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -215,20 +215,13 @@ advs <- advs %>% new_var = BASE ) %>% # Calculate BASEC -<<<<<<< HEAD - derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), - source_var = AVALC, - new_var = BASEC - ) %>% -======= + # only if AVALC is mapped # derive_var_base( # by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), # source_var = AVALC, # new_var = BASEC # ) %>% ->>>>>>> 3183d8b88fe9ecf75e134fede0726d1c6e907e7e # Calculate BNRIND derive_var_base( by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), From cb3363e2077afd3ae7160c46c488480aeee1b437 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Thu, 30 May 2024 14:12:35 -0400 Subject: [PATCH 03/22] replaced expr(STUDYID, USUBJID) and expr(USUBJID) with !!!get_admiral_option("subject_keys") in .Rmd files and ran each file to check for errors. --- vignettes/admiral.Rmd | 20 ++++----- vignettes/adsl.Rmd | 58 ++++++++++++------------ vignettes/bds_exposure.Rmd | 40 ++++++++--------- vignettes/bds_finding.Rmd | 86 ++++++++++++++++++------------------ vignettes/bds_tte.Rmd | 32 +++++++------- vignettes/generic.Rmd | 30 ++++++------- vignettes/higher_order.Rmd | 38 ++++++++-------- vignettes/hys_law.Rmd | 4 +- vignettes/occds.Rmd | 22 ++++----- vignettes/pk_adnca.Rmd | 82 +++++++++++++++++----------------- vignettes/questionnaires.Rmd | 56 +++++++++++------------ vignettes/visits_periods.Rmd | 8 ++-- 12 files changed, 238 insertions(+), 238 deletions(-) diff --git a/vignettes/admiral.Rmd b/vignettes/admiral.Rmd index cdb3b9ce4a..44f7a495dd 100644 --- a/vignettes/admiral.Rmd +++ b/vignettes/admiral.Rmd @@ -128,14 +128,14 @@ adsl <- adsl %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, TRTSDTM, TRTSTMF) + display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTSDTM, TRTSTMF) ) ``` @@ -151,7 +151,7 @@ the variable values for the new derived record. ```{r eval=TRUE} advs <- advs %>% derive_param_computed( - by_vars = exprs(USUBJID, AVISIT, AVISITN), + by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, AVISITN), parameters = c("SYSBP", "DIABP"), set_values_to = exprs( AVAL = (AVAL.SYSBP + 2 * AVAL.DIABP) / 3, @@ -164,9 +164,9 @@ advs <- advs %>% ```{r, eval=TRUE, echo=FALSE} advs %>% - arrange(USUBJID, AVISITN, PARAMCD) %>% + arrange(!!!get_admiral_option("subject_keys"), AVISITN, PARAMCD) %>% dataset_vignette( - display_vars = exprs(USUBJID, AVISIT, PARAMCD, AVAL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) ) ``` @@ -208,7 +208,7 @@ of the Final Lab Visit Date (`FINLABDT`) in the example below: adsl <- dm %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(FINLABDT = convert_dtc_to_dt(DSSTDTC)), filter_add = DSDECOD == "FINAL LAB VISIT" ) @@ -217,7 +217,7 @@ adsl <- dm %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(STUDYID, USUBJID, FINLABDT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), FINLABDT) ) ``` @@ -233,7 +233,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(STUDYID, USUBJID, RFSTDTC, RFSTDT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), RFSTDTC, RFSTDT) ) ``` @@ -250,7 +250,7 @@ below we use `filter_extreme()` to extract the most recent MAP records in `advs` advs_lastmap <- advs %>% filter(PARAMCD == "MAP") %>% filter_extreme( - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(AVISITN, PARAMCD), mode = "last" ) @@ -259,7 +259,7 @@ advs_lastmap <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs_lastmap, - display_vars = exprs(USUBJID, AVISIT, PARAMCD, AVAL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) ) ``` diff --git a/vignettes/adsl.Rmd b/vignettes/adsl.Rmd index cae3eabcad..8d5e5f3fb4 100644 --- a/vignettes/adsl.Rmd +++ b/vignettes/adsl.Rmd @@ -88,7 +88,7 @@ adsl <- dm %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, RFSTDTC, COUNTRY, AGE, SEX, RACE, ETHNIC, ARM, ACTARM) + display_vars = exprs(!!!get_admiral_option("subject_keys"), RFSTDTC, COUNTRY, AGE, SEX, RACE, ETHNIC, ARM, ACTARM) ) ``` @@ -147,7 +147,7 @@ adsl <- adsl %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% derive_vars_merged( dataset_add = ex_ext, @@ -157,7 +157,7 @@ adsl <- adsl %>% new_vars = exprs(TRTEDTM = EXENDTM, TRTETMF = EXENTMF), order = exprs(EXENDTM, EXSEQ), mode = "last", - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` @@ -186,7 +186,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, RFSTDTC, TRTSDTM, TRTSDT, TRTEDTM, TRTEDT, TRTDURD) + display_vars = exprs(!!!get_admiral_option("subject_keys"), RFSTDTC, TRTSDTM, TRTSDT, TRTEDTM, TRTEDT, TRTDURD) ) ``` @@ -215,7 +215,7 @@ ds_ext <- derive_vars_dt( adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(EOSDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD != "SCREEN FAILURE" ) @@ -225,14 +225,14 @@ The `ds_ext` dataset: ```{r, eval=TRUE, echo=FALSE} dataset_vignette( ds_ext, - display_vars = exprs(USUBJID, DSCAT, DSDECOD, DSTERM, DSSTDT, DSSTDTC), + display_vars = exprs(!!!get_admiral_option("subject_keys"), DSCAT, DSDECOD, DSTERM, DSSTDT, DSSTDTC), filter = DSDECOD != "SCREEN FAILURE" ) ``` The `adsl` dataset: ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(USUBJID, EOSDT)) +dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT)) ``` The `derive_vars_dt()` function allows to impute partial dates as well. If @@ -272,7 +272,7 @@ set to `"ONGOING"` by specifying the `missing_values` argument. adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), filter_add = DSCAT == "DISPOSITION EVENT", new_vars = exprs(EOSSTT = format_eosstt(DSDECOD)), missing_values = exprs(EOSSTT = "ONGOING") @@ -280,7 +280,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(USUBJID, EOSDT, EOSSTT)) +dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT, EOSSTT)) ``` This call would return the input dataset with the column `EOSSTT` added. @@ -305,7 +305,7 @@ will map `DCSREAS` as `DSDECOD`, and `DCSREASP` as `DSTERM` if `DSDECOD` is not adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(DCSREAS = DSDECOD, DCSREASP = DSTERM), filter_add = DSCAT == "DISPOSITION EVENT" & !(DSDECOD %in% c("SCREEN FAILURE", "COMPLETED", NA)) @@ -313,7 +313,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(USUBJID, EOSDT, EOSSTT, DCSREAS, DCSREASP)) +dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT, EOSSTT, DCSREAS, DCSREASP)) ``` This call would return the input dataset with the column `DCSREAS` and `DCSREASP` added. @@ -333,21 +333,21 @@ adsl <- adsl %>% adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(DCSREAS = DSDECOD), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD %notin% c("SCREEN FAILURE", "COMPLETED", NA) ) %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(DCSREASP = DSTERM), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD %in% "OTHER" ) ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(USUBJID, EOSDT, EOSSTT, DCSREAS, DCSREASP)) +dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT, EOSSTT, DCSREAS, DCSREASP)) ``` ### Randomization Date (`RANDDT`) {#randomization_date} @@ -360,7 +360,7 @@ adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, filter_add = DSDECOD == "RANDOMIZED", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(RANDDT = DSSTDT) ) ``` @@ -369,7 +369,7 @@ adsl <- adsl %>% This call would return the input dataset with the column `RANDDT` is added. ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(USUBJID, RANDDT)) +dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), RANDDT)) ``` ## Derive Death Variables {#death} @@ -390,7 +390,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl %>% filter(!is.na(DTHDT) | row_number() %% 50 == 0), display_vars = exprs(USUBJID, TRTEDT, DTHDTC, DTHDT, DTHFL)) +dataset_vignette(adsl %>% filter(!is.na(DTHDT) | row_number() %% 50 == 0), display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHFL)) ``` This call would return the input dataset with the columns `DTHDT` added and, by @@ -431,7 +431,7 @@ An example call to `derive_vars_extreme_event()` would be: ```{r eval=TRUE} adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -455,7 +455,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, EOSDT, DTHDTC, DTHDT, DTHCAUS), + display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT, DTHDTC, DTHDT, DTHCAUS), filter = DTHFL == "Y" ) ``` @@ -468,7 +468,7 @@ that domain). The traceability variables should be added to the `event()` calls adsl <- adsl %>% select(-DTHCAUS) %>% # remove it before deriving it again derive_vars_extreme_event( - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -492,7 +492,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHDOM, DTHSEQ), + display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHDOM, DTHSEQ), filter = DTHFL == "Y" ) ``` @@ -540,7 +540,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHADY, LDDTHELD), + display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHADY, LDDTHELD), filter = DTHFL == "Y" ) ``` @@ -556,7 +556,7 @@ day and month to the first): ```{r eval=TRUE} adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -602,7 +602,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, TRTEDT, DTHDTC, LSTALVDT), + display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, LSTALVDT), filter = !is.na(TRTSDT) ) ``` @@ -613,7 +613,7 @@ Traceability variables can be added by specifying the variables in the `set_valu adsl <- adsl %>% select(-LSTALVDT) %>% # created in the previous call derive_vars_extreme_event( - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -665,7 +665,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, TRTEDT, DTHDTC, LSTALVDT, LALVDOM, LALVSEQ, LALVVAR), + display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, LSTALVDT, LALVDOM, LALVSEQ, LALVVAR), filter = !is.na(TRTSDT) ) ``` @@ -718,7 +718,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, AGE, SEX, COUNTRY, AGEGR1, REGION1) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AGE, SEX, COUNTRY, AGEGR1, REGION1) ) ``` @@ -733,7 +733,7 @@ An example of an implementation could be: adsl <- adsl %>% derive_var_merged_exist_flag( dataset_add = ex, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_var = SAFFL, condition = (EXDOSE > 0 | (EXDOSE == 0 & str_detect(EXTRT, "PLACEBO"))) ) @@ -742,7 +742,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(USUBJID, TRTSDT, ARM, ACTARM, SAFFL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTSDT, ARM, ACTARM, SAFFL) ) ``` diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index 262ceb7547..ed8170cb73 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -82,7 +82,7 @@ adex <- derive_vars_merged( ex, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` @@ -90,7 +90,7 @@ adex <- derive_vars_merged( dataset_vignette( adex, display_vars = exprs( - USUBJID, EXTRT, EXDOSE, EXDOSFRQ, + !!!get_admiral_option("subject_keys"), EXTRT, EXDOSE, EXDOSFRQ, VISIT, EXSTDTC, EXENDTC, TRTSDTM, TRTEDTM ) @@ -136,7 +136,7 @@ adex <- derive_vars_dt(adex, new_vars_prefix = "AEN", dtc = EXENDTC) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs(USUBJID, VISIT, EXSTDTC, EXENDTC, ASTDT, AENDT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, ASTDT, AENDT) ) ``` @@ -163,7 +163,7 @@ adex <- derive_vars_dtm( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs(USUBJID, VISIT, EXSTDTC, EXENDTC, ASTDTM, AENDTM) + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, ASTDTM, AENDTM) ) ``` @@ -188,7 +188,7 @@ adex <- dataset_vignette( adex, display_vars = exprs( - USUBJID, + !!!get_admiral_option("subject_keys"), VISIT, ASTDT, ASTDY, AENDT, AENDY, TRTSDT ) ) @@ -213,7 +213,7 @@ adex <- adex %>% dataset_vignette( adex, display_vars = exprs( - USUBJID, + !!!get_admiral_option("subject_keys"), VISIT, ASTDT, ASTDY, AENDT, AENDY, EXDURD ) ) @@ -236,7 +236,7 @@ adex <- adex %>% dataset_vignette( adex, display_vars = exprs( - USUBJID, + !!!get_admiral_option("subject_keys"), VISIT, ASTDT, AENDT, EXDURD, EXDURDY ) ) @@ -260,7 +260,7 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs(USUBJID, EXDOSE, EXPLDOS, EXDURD, DOSEO, PDOSEO) + display_vars = exprs(!!!get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDURD, DOSEO, PDOSEO) ) ``` @@ -277,13 +277,13 @@ frequency to a corresponding set of records each representing one dose (i.e. ```{r eval=TRUE, echo=TRUE} single_dose <- adex %>% filter(USUBJID == "01-701-1015" & EXSTDY == 1) %>% - create_single_dose_dataset(keep_source_vars = exprs(USUBJID, EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) + create_single_dose_dataset(keep_source_vars = exprs(!!!get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( single_dose, - display_vars = exprs(USUBJID, EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT) ) ``` @@ -346,7 +346,7 @@ count(adex, PARAMCD) ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, VISIT, desc(PARAMCD), EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = exprs(USUBJID, VISIT, ASTDT, AENDT, PARAMCD, AVAL, AVALC)) + dataset_vignette(display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, ASTDT, AENDT, PARAMCD, AVAL, AVALC)) ``` ## Create Summary Records {#summaryrec} @@ -376,7 +376,7 @@ adex <- derive_param_exposure( adex %>% arrange(USUBJID, PARAMCD, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% dataset_vignette(display_vars = exprs( - USUBJID, VISIT, + !!!get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, AENDT )) ``` @@ -442,7 +442,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars) + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars) ) count(adex, PARAMCD, PARCAT1) @@ -453,7 +453,7 @@ count(adex, PARAMCD, PARCAT1) adex %>% arrange(USUBJID, PARAMCD, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% dataset_vignette(display_vars = exprs( - USUBJID, VISIT, + !!!get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, AVALC, ASTDT, AENDT )) ``` @@ -466,7 +466,7 @@ specified in the `by_vars` argument will be populated in this new record. ```{r eval=TRUE, echo=TRUE} adex <- adex %>% derive_param_doseint( - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars), set_values_to = exprs(PARAMCD = "TNDOSINT"), tadm_code = "TDOSE", tpadm_code = "TPDOSE" @@ -478,7 +478,7 @@ adex <- adex %>% dataset_vignette( adex, display_vars = exprs( - USUBJID, VISIT, EXSTDTC, EXENDTC, + !!!get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, PARCAT1, PARAMCD, AVAL, ASTDT, AENDT ) ) @@ -567,7 +567,7 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, AVALCAT1, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = exprs(USUBJID, VISIT, PARCAT1, PARAMCD, AVAL, AVALCAT1)) + dataset_vignette(display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, AVALCAT1)) ``` ## Assign `ASEQ` {#aseq} @@ -579,7 +579,7 @@ example call is: adex <- derive_var_obs_number( adex, new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARCAT1, ASTDT, VISIT, VISITNUM, EXSEQ, PARAMN), check_type = "error" ) @@ -588,7 +588,7 @@ adex <- derive_var_obs_number( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs(USUBJID, VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, ASEQ) + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, ASEQ) ) ``` @@ -600,7 +600,7 @@ If needed, the other `ADSL` variables can now be added: adex <- adex %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ## Add Labels and Attributes {#attributes} diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index 37dd34ebce..f7588bf774 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -86,14 +86,14 @@ advs <- derive_vars_merged( vs, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, VSTESTCD, VSDTC, VISIT, TRTSDT, TRTEDT, TRT01A, TRT01P), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDTC, VISIT, TRTSDT, TRTEDT, TRT01A, TRT01P), filter = VSTESTCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -113,7 +113,7 @@ advs <- derive_vars_dt(advs, new_vars_prefix = "A", dtc = VSDTC) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, VISIT, VSDTC, ADT), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, VSDTC, ADT), filter = VSTESTCD == "DIABP" ) ``` @@ -147,7 +147,7 @@ advs <- derive_vars_dt( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, VISIT, VSDTC, ADT, ADTF), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, VSDTC, ADT, ADTF), filter = USUBJID == "01-716-1024" ) ``` @@ -188,7 +188,7 @@ advs <- ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, VISIT, ADT, ADY, TRTSDT), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, ADT, ADY, TRTSDT), filter = USUBJID == "01-716-1024" ) ``` @@ -245,7 +245,7 @@ advs <- derive_vars_merged_lookup( ```{r, eval=TRUE, echo=FALSE} advs_param <- distinct(advs, USUBJID, PARAMCD, VSTESTCD) -dataset_vignette(advs_param, display_vars = exprs(USUBJID, VSTESTCD, PARAMCD)) +dataset_vignette(advs_param, display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], VSTESTCD, PARAMCD)) ``` Please note, it may be necessary to include other variables in the join. For @@ -293,7 +293,7 @@ Example 3 in section below [Derive New Rows](#additional) for alternative way of ```{r eval=TRUE} advs <- derive_param_map( advs, - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) @@ -314,28 +314,28 @@ Likewise, function call below, to create parameter `Body Surface Area` (BSA) and ```{r eval=TRUE} advs <- derive_param_bsa( advs, - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(USUBJID) + constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) ) advs <- derive_param_bmi( advs, - by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(USUBJID) + constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs, USUBJID, VISITNUM, VSTPTNUM, ADT, PARAMCD), - display_vars = exprs(USUBJID, VSTESTCD, PARAMCD, VISIT, VSTPT, AVAL), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, PARAMCD, VISIT, VSTPT, AVAL), filter = PARAMCD %in% c("BSA", "BMI") ) ``` @@ -354,7 +354,7 @@ adeg <- tibble::tribble( adeg <- derive_param_qtc( adeg, - by_vars = exprs(USUBJID, VISIT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT), method = "Fridericia", set_values_to = exprs(PARAMCD = "QTCFR"), get_unit_expr = EGSTRESU @@ -375,7 +375,7 @@ adlb <- tibble::tribble( derive_param_wbc_abs( dataset = adlb, - by_vars = exprs(USUBJID, VISIT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT), set_values_to = exprs( PARAMCD = "LYMPH", PARAM = "Lymphocytes Abs (10^9/L)", @@ -460,7 +460,7 @@ advs <- derive_var_ontrtfl( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, PARAMCD, ADT, TRTSDT, TRTEDT, ONTRTFL), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, TRTSDT, TRTEDT, ONTRTFL), filter = PARAMCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -536,7 +536,7 @@ advs <- derive_var_ontrtfl( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, ASTDT, AENDT, AP01SDT, AP01EDT, ONTR01FL) + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], ASTDT, AENDT, AP01SDT, AP01EDT, ONTR01FL) ) ``` @@ -574,7 +574,7 @@ advs <- derive_var_anrind(advs) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, PARAMCD, AVAL, ANRLO, ANRHI, A1LO, A1HI, ANRIND), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, AVAL, ANRLO, ANRHI, A1LO, A1HI, ANRIND), filter = PARAMCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -615,7 +615,7 @@ advs <- restrict_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(STUDYID, USUBJID, BASETYPE, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, ATPTN, VISITNUM), new_var = ABLFL, mode = "last" @@ -627,7 +627,7 @@ advs <- restrict_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, BASETYPE, PARAMCD, ADT, TRTSDT, ATPTN, TRTSDT, ABLFL), + display_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ADT, TRTSDT, ATPTN, TRTSDT, ABLFL), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "BASELINE") ) ``` @@ -641,14 +641,14 @@ Lastly, the `BASE`, and `BNRIND` columns can be derived using the `{admiral}` f ```{r eval=TRUE} advs <- derive_var_base( advs, - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) advs <- derive_var_base( advs, - by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) @@ -657,7 +657,7 @@ advs <- derive_var_base( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, BASETYPE, PARAMCD, ABLFL, BASE, ANRIND, BNRIND), + display_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ABLFL, BASE, ANRIND, BNRIND), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "BASELINE") ) ``` @@ -678,7 +678,7 @@ advs <- derive_var_pchg(advs) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, VISIT, BASE, AVAL, CHG, PCHG), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, BASE, AVAL, CHG, PCHG), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -728,7 +728,7 @@ advs <- derive_var_analysis_ratio(advs, ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, VISIT, BASE, AVAL, ANRLO, R2BASE, R01ANRLO), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, BASE, AVAL, ANRLO, R2BASE, R01ANRLO), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -754,7 +754,7 @@ advs <- restrict_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(STUDYID, USUBJID, BASETYPE, PARAMCD, AVISIT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), order = exprs(ADT, ATPTN, AVAL), new_var = ANL01FL, mode = "last" @@ -766,7 +766,7 @@ advs <- restrict_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, PARAMCD, AVISIT, ATPTN, ADT, AVAL, ANL01FL), + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPTN, ADT, AVAL, ANL01FL), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -781,7 +781,7 @@ advs <- slice_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(STUDYID, USUBJID, BASETYPE, PARAMCD, AVISIT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), order = exprs(ADT, ATPTN), new_var = WORSTFL, mode = "first" @@ -794,14 +794,14 @@ advs <- slice_derivation( args = params(mode = "last") ) ) %>% - arrange(STUDYID, USUBJID, BASETYPE, PARAMCD, AVISIT) + arrange(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, PARAMCD, AVISIT, AVAL, ADT, ATPTN, WORSTFL), + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, AVAL, ADT, ATPTN, WORSTFL), filter = USUBJID == "01-701-1015" & WORSTFL == "Y" ) ``` @@ -832,7 +832,7 @@ example call is: advs <- derive_var_obs_number( advs, new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN), check_type = "error" ) @@ -841,7 +841,7 @@ advs <- derive_var_obs_number( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, PARAMCD, ADT, AVISITN, ATPTN, VISIT, ADT, ASEQ), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, ATPTN, VISIT, ADT, ASEQ), filter = USUBJID == "01-701-1015" ) ``` @@ -877,7 +877,7 @@ advs <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, PARAMCD, AVAL, AVALCA1N, AVALCAT1), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, AVAL, AVALCA1N, AVALCAT1), filter = PARAMCD == "HEIGHT" ) ``` @@ -890,14 +890,14 @@ List of ADSL variables already merged held in vector `adsl_vars` advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(USUBJID, RFSTDTC, RFENDTC, DTHDTC, DTHFL, AGE, AGEU), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], RFSTDTC, RFENDTC, DTHDTC, DTHFL, AGE, AGEU), filter = USUBJID == "01-701-1015" ) ``` @@ -924,7 +924,7 @@ assign a unique `AVISITN` value. advs_ex1 <- advs %>% derive_extreme_records( dataset_add = advs, - by_vars = exprs(STUDYID, USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT, AVISITN, ATPTN, AVAL), mode = "last", filter_add = (4 < AVISITN & AVISITN <= 12 & ANL01FL == "Y"), @@ -939,7 +939,7 @@ advs_ex1 <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex1, USUBJID, PARAMCD, desc(AVISITN), ATPTN), - display_vars = exprs(USUBJID, PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL), filter = USUBJID == "01-701-1015" & ANL01FL == "Y" ) ``` @@ -954,7 +954,7 @@ and assign a unique `AVISITN` value. advs_ex1 <- advs %>% derive_extreme_records( dataset_add = advs, - by_vars = exprs(STUDYID, USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(AVAL, ADT, AVISITN, ATPTN), mode = "first", filter_add = (4 < AVISITN & AVISITN <= 12 & ANL01FL == "Y" & !is.na(AVAL)), @@ -969,7 +969,7 @@ advs_ex1 <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex1, USUBJID, PARAMCD, desc(AVISITN), ATPTN), - display_vars = exprs(USUBJID, PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL), filter = USUBJID == "01-701-1015" & ANL01FL == "Y" ) ``` @@ -988,7 +988,7 @@ Set `DTYPE` to `AVERAGE`. advs_ex2 <- derive_summary_records( advs, dataset_add = advs, - by_vars = exprs(STUDYID, USUBJID, PARAMCD, VISITNUM, ADT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT), set_values_to = exprs( AVAL = mean(AVAL, na.rm = TRUE), DTYPE = "AVERAGE" @@ -999,7 +999,7 @@ advs_ex2 <- derive_summary_records( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex2, USUBJID, PARAMCD, VISITNUM, ADT, DTYPE), - display_vars = exprs(USUBJID, PARAMCD, VISITNUM, ADT, AVAL, DTYPE), + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT, AVAL, DTYPE), filter = USUBJID == "01-701-1015" ) ``` @@ -1016,7 +1016,7 @@ Below is an example of creating `Mean Arterial Pressure` ```{r eval=TRUE} advs_ex3 <- derive_param_computed( advs, - by_vars = exprs(USUBJID, VISIT, ATPT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, ATPT), parameters = c("SYSBP", "DIABP"), set_values_to = exprs( AVAL = (AVAL.SYSBP - AVAL.DIABP) / 3 + AVAL.DIABP, @@ -1028,8 +1028,8 @@ advs_ex3 <- derive_param_computed( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( - arrange(advs_ex3, USUBJID, VISIT, ATPT, PARAMCD), - display_vars = exprs(USUBJID, PARAMCD, VISIT, ATPT, AVAL), + arrange(advs_ex3, !!!get_admiral_option("subject_keys"), VISIT, ATPT, PARAMCD), + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISIT, ATPT, AVAL), filter = USUBJID == "01-701-1015" & PARAMCD %in% c("MAP2", "SYSBP", "DIABP") ) ``` diff --git a/vignettes/bds_tte.Rmd b/vignettes/bds_tte.Rmd index 4c48659608..12fe73032e 100644 --- a/vignettes/bds_tte.Rmd +++ b/vignettes/bds_tte.Rmd @@ -148,7 +148,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = exprs(USUBJID, PARAMCD, PARAM, STARTDT, ADT, CNSR) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, CNSR) ) ``` @@ -190,7 +190,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = exprs(USUBJID, PARAMCD, PARAM, STARTDT, ADT, CNSR) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, CNSR) ) ``` @@ -239,7 +239,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = exprs(USUBJID, EVNTDESC, SRCDOM, SRCVAR, CNSR, ADT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), EVNTDESC, SRCDOM, SRCVAR, CNSR, ADT) ) # save adtte and adsl for next section adtte_bak <- adtte @@ -282,7 +282,7 @@ adsl <- tibble::tribble( dataset_vignette( adsl, - display_vars = exprs(USUBJID, DTHFL, DTHDT, TRTSDT, TRTSDTF) + display_vars = exprs(!!!get_admiral_option("subject_keys"), DTHFL, DTHDT, TRTSDT, TRTSDTF) ) ``` @@ -305,11 +305,11 @@ adrs <- tibble::tribble( PARAMCD = "OVR", PARAM = "Overall Response" ) %>% - select(STUDYID, USUBJID, PARAMCD, PARAM, ADT, ASEQ, AVALC) + select(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADT, ASEQ, AVALC) dataset_vignette( adrs, - display_vars = exprs(USUBJID, AVALC, ADT, ASEQ, PARAMCD, PARAM) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AVALC, ADT, ASEQ, PARAMCD, PARAM) ) ``` @@ -407,10 +407,10 @@ adtte <- derive_param_tte( dataset_vignette( adtte %>% select( - STUDYID, USUBJID, PARAMCD, PARAM, STARTDT, ADT, ADTF, CNSR, + !!!get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, ADTF, CNSR, EVNTDESC, SRCDOM, SRCVAR ), - display_vars = exprs(USUBJID, PARAMCD, STARTDT, ADT, ADTF, CNSR) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, ADTF, CNSR) ) ``` @@ -503,9 +503,9 @@ adaette <- call_derivation( ```{r, echo=FALSE} adaette %>% - select(STUDYID, USUBJID, PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% - arrange(USUBJID, PARAMCD) %>% - dataset_vignette(display_vars = exprs(USUBJID, PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) + select(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% + arrange(!!!get_admiral_option("subject_keys"), PARAMCD) %>% + dataset_vignette(display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) ``` ### Deriving Time-to-Event Parameters Using By Groups @@ -602,10 +602,10 @@ adtte <- derive_param_tte( dataset_vignette( adtte %>% select( - USUBJID, STARTDT, PARAMCD, PARAM, PARCAT1, PARCAT2, ADT, CNSR, + !!!get_admiral_option("subject_keys"), STARTDT, PARAMCD, PARAM, PARCAT1, PARCAT2, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR, SRCSEQ ), - display_vars = exprs(USUBJID, STARTDT, PARAMCD, PARAM, ADT, CNSR, SRCSEQ) + display_vars = exprs(!!!get_admiral_option("subject_keys"), STARTDT, PARAMCD, PARAM, ADT, CNSR, SRCSEQ) ) ``` @@ -642,7 +642,7 @@ The `{admiral}` function `derive_var_obs_number()` can be used to derive `ASEQ`: ```{r eval=TRUE} adtte <- derive_var_obs_number( adtte, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARAMCD), check_type = "error" ) @@ -662,14 +662,14 @@ adtte <- derive_vars_merged( adtte, dataset_add = adsl, new_vars = exprs(ARMCD, ARM, ACTARMCD, ACTARM, AGE, SEX), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = exprs(USUBJID, PARAMCD, CNSR, AVAL, ARMCD, AGE, SEX) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, CNSR, AVAL, ARMCD, AGE, SEX) ) ``` diff --git a/vignettes/generic.Rmd b/vignettes/generic.Rmd index 9450dc529a..3c32ec339d 100644 --- a/vignettes/generic.Rmd +++ b/vignettes/generic.Rmd @@ -219,7 +219,7 @@ advs <- tribble( derive_vars_merged( adsl, dataset_add = advs, - by_vars = exprs(USUBJID), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), filter_add = PARAMCD == "WEIGHT" & ABLFL == "Y", new_vars = exprs(WGTBL = AVAL) ) @@ -251,7 +251,7 @@ ex <- tribble( derive_vars_merged( adsl, dataset_add = ex, - by_vars = exprs(USUBJID), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), filter_add = EXDOSE > 0, order = exprs(EXSTDY), mode = "last", @@ -287,7 +287,7 @@ ex <- tribble( derive_vars_joined( adae, dataset_add = ex, - by_vars = exprs(USUBJID), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), filter_add = EXDOSE > 0, filter_join = EXSTDY <= ASTDY, join_type = "all", @@ -302,7 +302,7 @@ The `filter_join` condition is applied on a temporary dataset created by left jo admiral:::get_joined_data( adae, dataset_add = ex, - by_vars = exprs(USUBJID), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), filter_add = EXDOSE > 0, join_vars = exprs(EXDOSE), join_type = "all", @@ -334,7 +334,7 @@ adlb <- tribble( derive_var_joined_exist_flag( adlb, dataset_add = adlb, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), order = exprs(ADY), join_vars = exprs(ADY, ANRIND), join_type = "after", @@ -353,7 +353,7 @@ So the temporary dataset for applying `filter_join` is: admiral:::get_joined_data( adlb, dataset_add = adlb, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), order = exprs(ADY), join_vars = exprs(ADY, ANRIND), join_type = "after" @@ -368,7 +368,7 @@ set it to the condition for confirmation. derive_var_joined_exist_flag( adlb, dataset_add = adlb, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), order = exprs(ADY), join_vars = exprs(ADY, ANRIND), join_type = "after", @@ -383,7 +383,7 @@ dataset are restricted up to the first records where the condition is fulfilled: admiral:::get_joined_data( adlb, dataset_add = adlb, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), order = exprs(ADY), join_vars = exprs(ADY, ANRIND), join_type = "after", @@ -419,7 +419,7 @@ advs <- tribble( derive_var_extreme_flag( advs, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), order = exprs(AVISITN), mode = "last", new_var = LSTVISFL @@ -431,7 +431,7 @@ the `AVISITN == 3` record is flagged. ```{r} derive_var_extreme_flag( advs, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), order = exprs(if_else(is.na(AVISITN), -Inf, AVISITN)), mode = "last", new_var = LSTVISFL @@ -442,7 +442,7 @@ variables. ```{r} derive_var_extreme_flag( advs, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), order = exprs(!is.na(AVISITN), AVISITN), mode = "last", new_var = LSTVISFL @@ -485,7 +485,7 @@ derive_summary_records( adex, dataset_add = adex, filter_add = AVAL > 0, - by_vars = exprs(USUBJID), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), set_values_to = exprs( AVAL = mean(AVAL), PARAMCD = "AVERAGE DOSE" @@ -510,7 +510,7 @@ derive_var_merged_summary( adsl, dataset_add = adex, filter_add = AVAL > 0, - by_vars = exprs(USUBJID), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), new_vars = exprs( AVERDOSE = mean(AVAL) ), @@ -539,7 +539,7 @@ advs <- tribble( derive_param_computed( advs, - by_vars = exprs(USUBJID, AVISIT), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], AVISIT), parameters = c("WEIGHT", "HEIGHT"), set_values_to = exprs( AVAL = AVAL.WEIGHT / (AVAL.HEIGHT / 100)^2, @@ -555,7 +555,7 @@ example `compute_bmi()` could be used instead of the formula for BMI: ```{r} derive_param_computed( advs, - by_vars = exprs(USUBJID, AVISIT), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], AVISIT), parameters = c("WEIGHT", "HEIGHT"), set_values_to = exprs( AVAL = compute_bmi(weight = AVAL.WEIGHT, height = AVAL.HEIGHT), diff --git a/vignettes/higher_order.Rmd b/vignettes/higher_order.Rmd index db73719473..970ecb2471 100644 --- a/vignettes/higher_order.Rmd +++ b/vignettes/higher_order.Rmd @@ -87,13 +87,13 @@ Here is an example of how to achieve this **without** using `call_derivation()`: ```{r} vs_without <- vs %>% derive_var_extreme_flag( - by_vars = exprs(USUBJID, VSTESTCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD), order = exprs(VSORRES, VSSEQ), new_var = AHIFL, mode = "last" ) %>% derive_var_extreme_flag( - by_vars = exprs(USUBJID, VSTESTCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD), order = exprs(VSORRES, VSSEQ), new_var = ALOFL, mode = "first" @@ -102,9 +102,9 @@ vs_without <- vs %>% ```{r, eval=TRUE, echo=FALSE} vs_without %>% - arrange(USUBJID, VSTESTCD, VSDY, VSSEQ) %>% + arrange(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDY, VSSEQ) %>% dataset_vignette( - display_vars = exprs(USUBJID, VSTESTCD, VSORRES, ALOFL, AHIFL), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, VSORRES, ALOFL, AHIFL), filter = VSTESTCD %in% c("TEMP", "WEIGHT") ) ``` @@ -120,16 +120,16 @@ vs_with <- vs %>% params(new_var = AHIFL, mode = "last"), params(new_var = ALOFL, mode = "first") ), - by_vars = exprs(USUBJID, VSTESTCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD), order = exprs(VSORRES, VSSEQ) ) ``` ```{r, eval=TRUE, echo=FALSE} vs_with %>% - arrange(USUBJID, VSTESTCD, VSDY, VSSEQ) %>% + arrange(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDY, VSSEQ) %>% dataset_vignette( - display_vars = exprs(USUBJID, VSTESTCD, VSORRES, ALOFL, AHIFL), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, VSORRES, ALOFL, AHIFL), filter = VSTESTCD %in% c("TEMP", "WEIGHT") ) ``` @@ -174,9 +174,9 @@ adaette <- call_derivation( ```{r, eval=TRUE, echo=FALSE} adaette %>% - select(USUBJID, PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% - arrange(USUBJID, PARAMCD) %>% - dataset_vignette(display_vars = exprs(USUBJID, PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) + select(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% + arrange(!!!get_admiral_option("subject_keys"), PARAMCD) %>% + dataset_vignette(display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) ``` Developing your ADaM scripts this way using `call_derivation()` could give the @@ -209,7 +209,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEVFL, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(TEMP_AESEVN, AESTDY, AESEQ), mode = "first" ), @@ -219,9 +219,9 @@ ae <- ae %>% ```{r, eval=TRUE, echo=FALSE} ae %>% - arrange(USUBJID, AESTDY, AESEQ, desc(TEMP_AESEVN)) %>% + arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ, desc(TEMP_AESEVN)) %>% dataset_vignette( - display_vars = exprs(USUBJID, AEDECOD, AESTDY, AESEQ, AESEV, AHSEVFL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEVFL) ) ``` @@ -247,7 +247,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEV2FL, - by_vars = exprs(USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ), derivation_slice( filter = AESTDY >= 1, @@ -262,9 +262,9 @@ ae <- ae %>% ```{r, eval=TRUE, echo=FALSE} ae %>% - arrange(USUBJID, AESTDY, AESEQ, desc(TEMP_AESEVN)) %>% + arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ, desc(TEMP_AESEVN)) %>% dataset_vignette( - display_vars = exprs(USUBJID, AEDECOD, AESTDY, AESEQ, AESEV, AHSEV2FL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEV2FL) ) ``` @@ -286,7 +286,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEV3FL, - by_vars = exprs(USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ), derivation_slice( filter = AESEV == "SEVERE", @@ -305,9 +305,9 @@ ae <- ae %>% ```{r, eval=TRUE, echo=FALSE} ae %>% - arrange(USUBJID, AESTDY, AESEQ) %>% + arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ) %>% dataset_vignette( - display_vars = exprs(USUBJID, AEDECOD, AESTDY, AESEQ, AESEV, AHSEV3FL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEV3FL) ) ``` diff --git a/vignettes/hys_law.Rmd b/vignettes/hys_law.Rmd index bd8744329a..db0d9f1fd5 100644 --- a/vignettes/hys_law.Rmd +++ b/vignettes/hys_law.Rmd @@ -113,7 +113,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADY), join_type = "all", filter_join = 0 <= ADT.join - ADT & ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", @@ -154,7 +154,7 @@ hylaw_params <- derive_param_exist_flag( condition = CRIT1FL == "Y" & BILI_CRITFL == "Y", false_value = "N", missing_value = "N", - by_vars = exprs(STUDYID, USUBJID, TRT01A), # add AVISIT, ADT for by visit + by_vars = exprs(!!!get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit set_values_to = exprs( PARAMCD = "HYSLAW", PARAM = "ALT/AST >= 3xULN and BILI >= 2xULN", diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index 0ae5fb0000..c07d34b71b 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -79,7 +79,7 @@ adae <- derive_vars_merged( ae, dataset_add = adsl, new_vars = adsl_vars, - by = exprs(STUDYID, USUBJID) + by = exprs(!!!get_admiral_option("subject_keys")) ) ``` @@ -87,7 +87,7 @@ adae <- derive_vars_merged( dataset_vignette( adae, display_vars = exprs( - USUBJID, AESEQ, AETERM, AESTDTC, TRTSDT, + !!!get_admiral_option("subject_keys"), AESEQ, AETERM, AESTDTC, TRTSDT, TRTEDT, TRT01A, TRT01P, DTHDT, EOSDT ) ) @@ -128,7 +128,7 @@ adae <- adae %>% dataset_vignette( adae, display_vars = exprs( - USUBJID, AESTDTC, AEENDTC, ASTDTM, ASTDT, + !!!get_admiral_option("subject_keys"), AESTDTC, AEENDTC, ASTDTM, ASTDT, ASTDY, AENDTM, AENDT, AENDY ) ) @@ -155,7 +155,7 @@ adae <- adae %>% dataset_vignette( adae, display_vars = exprs( - USUBJID, AESTDTC, AEENDTC, ASTDT, AENDT, + !!!get_admiral_option("subject_keys"), AESTDTC, AEENDTC, ASTDT, AENDT, ADURN, ADURU ) ) @@ -239,7 +239,7 @@ ex_single <- derive_vars_dtm( adae <- derive_vars_joined( adae, ex_single, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -254,7 +254,7 @@ adae <- derive_vars_joined( dataset_vignette( adae, display_vars = exprs( - USUBJID, AEDECOD, AESEQ, AESTDTC, AEENDTC, + !!!get_admiral_option("subject_keys"), AEDECOD, AESEQ, AESTDTC, AEENDTC, ASTDT, AENDT, LDOSEDTM ) ) @@ -292,7 +292,7 @@ adae <- adae %>% dataset_vignette( adae, display_vars = exprs( - USUBJID, TRTSDT, TRTEDT, AESTDTC, ASTDT, + !!!get_admiral_option("subject_keys"), TRTSDT, TRTEDT, AESTDTC, ASTDT, TRTEMFL ) ) @@ -406,7 +406,7 @@ adae <- adae %>% dataset_vignette( adae, display_vars = exprs( - USUBJID, ASTDTM, ASEV, AESEQ, TRTEMFL, AOCCIFL + !!!get_admiral_option("subject_keys"), ASTDTM, ASEV, AESEQ, TRTEMFL, AOCCIFL ) ) ``` @@ -485,7 +485,7 @@ If needed, the other `ADSL` variables can now be added: adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` @@ -493,7 +493,7 @@ adae <- adae %>% dataset_vignette( adae, display_vars = exprs( - USUBJID, AEDECOD, ASTDTM, DTHDT, RFSTDTC, + !!!get_admiral_option("subject_keys"), AEDECOD, ASTDTM, DTHDT, RFSTDTC, RFENDTC, AGE, AGEU, SEX ) ) @@ -517,7 +517,7 @@ adcm <- tibble::tribble( adcm_aseq <- adcm %>% derive_var_obs_number( - by_vars = exprs(USUBJID), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), order = exprs(ASTDTM, CMSEQ, ATC1CD, ATC2CD, ATC3CD, ATC4CD), new_var = ASEQ, check_type = "error" diff --git a/vignettes/pk_adnca.Rmd b/vignettes/pk_adnca.Rmd index a947df46fb..ba44396055 100644 --- a/vignettes/pk_adnca.Rmd +++ b/vignettes/pk_adnca.Rmd @@ -175,7 +175,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -200,7 +200,7 @@ pc_dates <- pc %>% dataset_vignette( pc_dates, display_vars = exprs( - USUBJID, PCTEST, ADTM, VISIT, PCTPT, NFRLT + !!!get_admiral_option("subject_keys"), PCTEST, ADTM, VISIT, PCTPT, NFRLT ) ) ``` @@ -219,7 +219,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -259,7 +259,7 @@ ex_dates <- ex %>% dataset_vignette( ex_dates, display_vars = exprs( - USUBJID, EXTRT, EXDOSFRQ, ASTDTM, AENDTM, VISIT, VISITDY, NFRLT + !!!get_admiral_option("subject_keys"), EXTRT, EXDOSFRQ, ASTDTM, AENDTM, VISIT, VISITDY, NFRLT ) ) ``` @@ -298,7 +298,7 @@ ex_exp <- ex_dates %>% lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, keep_source_vars = exprs( - STUDYID, USUBJID, EVID, EXDOSFRQ, EXDOSFRM, + STUDYID, !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars ) @@ -324,7 +324,7 @@ ex_exp <- ex_dates %>% dataset_vignette( ex_exp, display_vars = exprs( - USUBJID, DRUG, EXDOSFRQ, ASTDTM, AENDTM, AVISIT, NFRLT + !!!get_admiral_option("subject_keys"), DRUG, EXDOSFRQ, ASTDTM, AENDTM, AVISIT, NFRLT ) ) ``` @@ -348,7 +348,7 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(STUDYID, USUBJID, DRUG) + by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -364,7 +364,7 @@ adpc_first_dose <- pc_dates %>% dataset_vignette( adpc_first_dose, display_vars = exprs( - USUBJID, FANLDTM, AVISIT, ADTM, PCTPT + !!!get_admiral_option("subject_keys"), FANLDTM, AVISIT, ADTM, PCTPT ) ) ``` @@ -383,7 +383,7 @@ previous dose (`ADTM_prev)`, we also keep the actual dose amount adpc_prev <- adpc_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -402,7 +402,7 @@ adpc_prev <- adpc_first_dose %>% dataset_vignette( adpc_prev, display_vars = exprs( - USUBJID, VISIT, ADTM, VISIT, PCTPT, ADTM_prev, EXDOSE_prev, AVISIT_prev + !!!get_admiral_option("subject_keys"), VISIT, ADTM, VISIT, PCTPT, ADTM_prev, EXDOSE_prev, AVISIT_prev ) ) ``` @@ -418,7 +418,7 @@ and the next analysis visit `AVISIT_next`. adpc_next <- adpc_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_next = ADTM, EXDOSE_next = EXDOSE, AVISIT_next = AVISIT, @@ -437,7 +437,7 @@ adpc_next <- adpc_prev %>% dataset_vignette( adpc_next, display_vars = exprs( - USUBJID, + !!!get_admiral_option("subject_keys"), VISIT, ADTM, VISIT, PCTPT, ADTM_next, EXDOSE_next, AVISIT_next ) ) @@ -457,7 +457,7 @@ parameter uses the nominal relative times, e.g. `NFRLT > NFRLT.join`. adpc_nom_prev <- adpc_next %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -473,7 +473,7 @@ adpc_nom_prev <- adpc_next %>% adpc_nom_next <- adpc_nom_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_next = NFRLT), join_vars = exprs(NFRLT), @@ -489,7 +489,7 @@ adpc_nom_next <- adpc_nom_prev %>% dataset_vignette( adpc_nom_next, display_vars = exprs( - USUBJID, NFRLT, PCTPT, NFRLT_prev, NFRLT_next + !!!get_admiral_option("subject_keys"), NFRLT, PCTPT, NFRLT_prev, NFRLT_next ) ) ``` @@ -583,7 +583,7 @@ adpc_arrlt <- bind_rows(adpc_nom_next, ex_exp) %>% dataset_vignette( adpc_arrlt, display_vars = exprs( - USUBJID, FANLDTM, AVISIT, PCTPT, AFRLT, ARRLT, AXRLT + !!!get_admiral_option("subject_keys"), FANLDTM, AVISIT, PCTPT, AFRLT, ARRLT, AXRLT ) ) ``` @@ -611,7 +611,7 @@ adpc_nrrlt <- adpc_arrlt %>% dataset_vignette( adpc_nrrlt, display_vars = exprs( - USUBJID, AVISIT, PCTPT, NFRLT, NRRLT, NXRLT + !!!get_admiral_option("subject_keys"), AVISIT, PCTPT, NFRLT, NRRLT, NXRLT ) ) ``` @@ -721,7 +721,7 @@ adpc_aval <- adpc_nrrlt %>% dataset_vignette( adpc_aval, display_vars = exprs( - USUBJID, NFRLT, AVISIT, ATPT, ABLFL, ATPTREF, AVAL, AVALCAT1 + !!!get_admiral_option("subject_keys"), NFRLT, AVISIT, ATPT, ABLFL, ATPTREF, AVAL, AVALCAT1 ) ) ``` @@ -775,7 +775,7 @@ dtype <- adpc_aval %>% dataset_vignette( dtype, display_vars = exprs( - USUBJID, DTYPE, ATPT, NFRLT, NRRLT, AFRLT, ARRLT, BASETYPE + !!!get_admiral_option("subject_keys"), DTYPE, ATPT, NFRLT, NRRLT, AFRLT, ARRLT, BASETYPE ) ) ``` @@ -797,7 +797,7 @@ figures, etc. # ---- Combine original records and DTYPE copy records ---- adpc_dtype <- bind_rows(adpc_aval, dtype) %>% - arrange(STUDYID, USUBJID, BASETYPE, ADTM, NFRLT) %>% + arrange(!!!get_admiral_option("subject_keys"), BASETYPE, ADTM, NFRLT) %>% mutate( # Derive MRRLT, ANL01FL and ANL02FL MRRLT = if_else(ARRLT < 0, 0, ARRLT), @@ -809,7 +809,7 @@ adpc_dtype <- bind_rows(adpc_aval, dtype) %>% ```{r, eval=TRUE, echo=FALSE} adpc_dtype %>% dataset_vignette(display_vars = exprs( - STUDYID, USUBJID, BASETYPE, ADTM, ATPT, NFRLT, NRRLT, ARRLT, MRRLT + !!!get_admiral_option("subject_keys"), BASETYPE, ADTM, ATPT, NFRLT, NRRLT, ARRLT, MRRLT )) ``` @@ -830,7 +830,7 @@ Finally we derive `PARAM` and `PARAMN` from a lookup table. adpc_base <- adpc_dtype %>% # Derive BASE derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD, PARCAT1, BASETYPE), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), source_var = AVAL, new_var = BASE, filter = ABLFL == "Y" @@ -844,7 +844,7 @@ adpc_aseq <- adpc_chg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM, BASETYPE, EVID, AVISITN, ATPTN, PARCAT1, DTYPE), check_type = "error" ) %>% @@ -863,7 +863,7 @@ adpc_aseq <- adpc_chg %>% ```{r, eval=TRUE, echo=FALSE} adpc_aseq %>% dataset_vignette(display_vars = exprs( - USUBJID, BASETYPE, DTYPE, AVISIT, ATPT, AVAL, NFRLT, NRRLT, AFRLT, ARRLT, BASE, CHG + !!!get_admiral_option("subject_keys"), BASETYPE, DTYPE, AVISIT, ATPT, AVAL, NFRLT, NRRLT, AFRLT, ARRLT, BASE, CHG )) ``` @@ -881,13 +881,13 @@ adpc_baselines <- adpc_aseq %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN, HTBLU = VSSTRESU) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN, WTBLU = VSSTRESU) ) %>% mutate( @@ -899,7 +899,7 @@ adpc_baselines <- adpc_aseq %>% ```{r, eval=TRUE, echo=FALSE} adpc_baselines %>% dataset_vignette(display_vars = exprs( - USUBJID, HTBL, HTBLU, WTBL, WTBLU, BMIBL, BMIBLU, BASETYPE, ATPT, AVAL + !!!get_admiral_option("subject_keys"), HTBL, HTBLU, WTBL, WTBLU, BMIBL, BMIBLU, BASETYPE, ATPT, AVAL )) ``` @@ -912,7 +912,7 @@ If needed, the other `ADSL` variables can now be added: adpc <- adpc_baselines %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` @@ -991,7 +991,7 @@ adppk_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM, EXDOSE_first = EXDOSE), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(STUDYID, USUBJID, DRUG) + by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -1007,7 +1007,7 @@ adppk_first_dose <- pc_dates %>% dataset_vignette( adppk_first_dose, display_vars = exprs( - USUBJID, FANLDTM, AVISIT, ADTM, PCTPT + !!!get_admiral_option("subject_keys"), FANLDTM, AVISIT, ADTM, PCTPT ) ) ``` @@ -1025,7 +1025,7 @@ and nominal time. We will use `derive_vars_joined()` as we did for adppk_prev <- adppk_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -1044,7 +1044,7 @@ adppk_prev <- adppk_first_dose %>% adppk_nom_prev <- adppk_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -1060,7 +1060,7 @@ adppk_nom_prev <- adppk_prev %>% dataset_vignette( adppk_nom_prev, display_vars = exprs( - USUBJID, VISIT, ADTM, VISIT, PCTPT, ADTM_prev, NFRLT_prev + !!!get_admiral_option("subject_keys"), VISIT, ADTM, VISIT, PCTPT, ADTM_prev, NFRLT_prev ) ) ``` @@ -1126,7 +1126,7 @@ adppk_aprlt <- bind_rows(adppk_nom_prev, ex_exp) %>% dataset_vignette( adppk_aprlt, display_vars = exprs( - USUBJID, EVID, NFRLT, AFRLT, APRLT, NPRLT + !!!get_admiral_option("subject_keys"), EVID, NFRLT, AFRLT, APRLT, NPRLT ) ) ``` @@ -1210,7 +1210,7 @@ adppk_aval <- adppk_aprlt %>% dataset_vignette( adppk_aval, display_vars = exprs( - USUBJID, EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN + !!!get_admiral_option("subject_keys"), EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN ) ) ``` @@ -1228,7 +1228,7 @@ adppk_aseq <- adppk_aval %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(AFRLT, EVID, CMT), check_type = "error" ) %>% @@ -1252,7 +1252,7 @@ adppk_aseq <- adppk_aval %>% dataset_vignette( adppk_aseq, display_vars = exprs( - USUBJID, EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN, ASEQ + !!!get_admiral_option("subject_keys"), EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN, ASEQ ) ) ``` @@ -1359,18 +1359,18 @@ covar_vslb <- covar %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN) ) %>% derive_vars_transposed( dataset_merge = labsbl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), key_var = LBTESTCDB, value_var = LBSTRESN ) %>% @@ -1413,7 +1413,7 @@ Finally, we combine the covariates with the `ADPPK` data. adppk <- adppk_aseq %>% derive_vars_merged( dataset_add = covar_vslb, - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% arrange(STUDYIDN, USUBJIDN, AFRLT, EVID) %>% mutate(RECSEQ = row_number()) diff --git a/vignettes/questionnaires.Rmd b/vignettes/questionnaires.Rmd index ef37f997e5..9c35798746 100644 --- a/vignettes/questionnaires.Rmd +++ b/vignettes/questionnaires.Rmd @@ -88,7 +88,7 @@ adqs <- qs %>% derive_vars_merged( dataset_add = adsl, new_vars = exprs(TRTSDT, DTHCAUS), - by_vars = exprs(STUDYID, USUBJID) + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Add analysis parameter variables mutate( @@ -110,7 +110,7 @@ adqs <- qs %>% ```{r echo=FALSE} dataset_vignette( arrange(adqs, USUBJID, PARCAT1, ADY, PARAMCD), - display_vars = exprs(USUBJID, PARAMCD, PARAM, PARCAT1, AVALC, AVAL, ADY, AVISIT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, PARCAT1, AVALC, AVAL, ADY, AVISIT) ) ``` @@ -143,7 +143,7 @@ adgad7 <- adqs %>% derive_summary_records( dataset = ., dataset_add = ., - by_vars = exprs(STUDYID, USUBJID, AVISIT, ADT, ADY, TRTSDT, DTHCAUS), + by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, ADT, ADY, TRTSDT, DTHCAUS), # Select records contributing to total score filter_add = str_detect(PARAMCD, "GAD020[1-7]"), set_values_to = exprs( @@ -157,7 +157,7 @@ adgad7 <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adgad7, USUBJID, ADY, PARAMCD), - display_vars = exprs(USUBJID, PARAMCD, PARAM, AVAL, ADY, AVISIT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, ADY, AVISIT) ) ``` @@ -173,7 +173,7 @@ adgdssf <- adqs %>% derive_summary_records( dataset = ., dataset_add = ., - by_vars = exprs(STUDYID, USUBJID, AVISIT, ADT, ADY, TRTSDT, DTHCAUS), + by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, ADT, ADY, TRTSDT, DTHCAUS), # Select records contributing to total score filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), set_values_to = exprs( @@ -193,7 +193,7 @@ adgdssf <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, ADY, PARAMCD), - display_vars = exprs(USUBJID, PARAMCD, PARAM, AVAL, ADY, AVISIT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, ADY, AVISIT) ) ``` @@ -205,7 +205,7 @@ adgdssf <- adgdssf %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(STUDYID, USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = ABLFL, mode = "last" @@ -214,7 +214,7 @@ adgdssf <- adgdssf %>% ) %>% # Derive baseline and change from baseline variables derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), source_var = AVAL, new_var = BASE ) %>% @@ -222,7 +222,7 @@ adgdssf <- adgdssf %>% derive_var_pchg() %>% # Derive sequence number derive_var_obs_number( - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT), check_type = "error" ) @@ -231,7 +231,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( adgdssf, - display_vars = exprs(USUBJID, PARAMCD, PARAM, AVISIT, AVAL, BASE, CHG, PCHG) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVAL, BASE, CHG, PCHG) ) ``` @@ -264,12 +264,12 @@ adgdssf <- adgdssf %>% ) ) %>% derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), source_var = AVALCAT1, new_var = BASECAT1 ) %>% derive_var_base( - by_vars = exprs(STUDYID, USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), source_var = AVALCAT1N, new_var = BASECA1N ) %>% @@ -285,7 +285,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = exprs(USUBJID, PARAMCD, PARAM, AVISIT, AVAL, AVALCAT1, CHGCAT1) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVAL, AVALCAT1, CHGCAT1) ) ``` @@ -349,7 +349,7 @@ adgdstte <- derive_param_tte( ```{r echo=FALSE} dataset_vignette( adgdstte, - display_vars = exprs(USUBJID, PARAMCD, PARAM, AVAL, CNSR, EVNTDESC, SRCDOM, SRCVAR) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, CNSR, EVNTDESC, SRCDOM, SRCVAR) ) ``` @@ -365,7 +365,7 @@ later: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = CDETFL, join_vars = exprs(CHGCAT1, ADY), @@ -379,7 +379,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = exprs(USUBJID, PARAMCD, PARAM, ADY, CHGCAT1, CDETFL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, CDETFL) ) ``` @@ -391,7 +391,7 @@ argument is helpful: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = CONDETFL, join_vars = exprs(CHGCAT1), @@ -407,7 +407,7 @@ adgdssf <- adgdssf %>% derive_var_joined_exist_flag( ., dataset_add = ., - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = CDTDTHFL, join_vars = exprs(CHGCAT1, ADY), @@ -422,7 +422,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = exprs(USUBJID, PARAMCD, PARAM, ADY, CHGCAT1, CONDETFL, CDTDTHFL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, CONDETFL, CDTDTHFL) ) ``` @@ -433,7 +433,7 @@ parameter summary functions like `all()` can be used in the filter condition: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = exprs(USUBJID, PARAMCD), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = DEFDETFL, join_vars = exprs(CHGCAT1), @@ -445,7 +445,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = exprs(USUBJID, PARAMCD, PARAM, ADY, CHGCAT1, DEFDETFL) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, DEFDETFL) ) ``` @@ -465,7 +465,7 @@ example, "no sleeping problems" is assumed if all questions were answered with adsp <- adqs %>% filter(PARCAT1 == "SLEEPING PROBLEMS") %>% derive_extreme_event( - by_vars = exprs(USUBJID, AVISIT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT), tmp_event_nr_var = event_nr, order = exprs(event_nr, ADY, QSSEQ), mode = "first", @@ -516,7 +516,7 @@ adsp <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adsp, USUBJID, ADY, PARAMCD), - display_vars = exprs(USUBJID, PARAMCD, PARAM, AVISIT, AVALC) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) ) ``` @@ -529,7 +529,7 @@ adgdssf <- adgdssf %>% derive_summary_records( dataset_add = adgdssf, filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), - by_vars = exprs(USUBJID, AVISIT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT), set_values_to = exprs( AVAL = sum(!is.na(AVAL)) / 15 >= 0.9, PARAMCD = "COMPL90P", @@ -542,7 +542,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, PARAMCD, ADY), - display_vars = exprs(USUBJID, PARAMCD, PARAM, AVISIT, AVALC) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) ) ``` @@ -571,7 +571,7 @@ parm_visit_ref <- crossing( adgdssf <- adgdssf %>% derive_expected_records( dataset_ref = parm_visit_ref, - by_vars = exprs(USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), set_values_to = exprs( filled_in = 1 ) @@ -580,7 +580,7 @@ adgdssf <- adgdssf %>% dataset = ., dataset_add = ., filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), - by_vars = exprs(USUBJID, AVISIT), + by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT), set_values_to = exprs( AVAL = all(!is.na(AVAL)), PARAMCD = "COMPLALL", @@ -595,6 +595,6 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, PARAMCD, ADY), - display_vars = exprs(USUBJID, PARAMCD, PARAM, AVISIT, AVALC) + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) ) ``` diff --git a/vignettes/visits_periods.Rmd b/vignettes/visits_periods.Rmd index b4b9fec3b7..cb642cfa18 100644 --- a/vignettes/visits_periods.Rmd +++ b/vignettes/visits_periods.Rmd @@ -288,7 +288,7 @@ adsl2 <- derive_vars_period( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl2, - display_vars = exprs(STUDYID, USUBJID, AP01SDT, AP01EDT, AP02SDT, AP02EDT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AP01SDT, AP01EDT, AP02SDT, AP02EDT) ) ``` @@ -316,7 +316,7 @@ adae <- tribble( adae1 <- adae %>% derive_vars_joined( dataset_add = phase_ref, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), filter_join = PHSDT <= ASTDT & ASTDT <= PHEDT, join_type = "all" ) @@ -358,7 +358,7 @@ adsl <- derive_vars_period( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(STUDYID, USUBJID, TRT01A, TRT02A, AP01SDT, AP01EDT, AP02SDT, AP02EDT) + display_vars = exprs(!!!get_admiral_option("subject_keys"), TRT01A, TRT02A, AP01SDT, AP01EDT, AP02SDT, AP02EDT) ) ``` @@ -385,7 +385,7 @@ adae <- tribble( adae2 <- adae %>% derive_vars_joined( dataset_add = period_ref, - by_vars = exprs(STUDYID, USUBJID), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(APERIOD, TRTA), join_vars = exprs(APERSDT, APEREDT), join_type = "all", From 84794a103069c10d2c3fd22315f447066373853e Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Thu, 30 May 2024 14:17:30 -0400 Subject: [PATCH 04/22] ran styler::style_file("inst/templates/ad_adex.R") to address Code Style error in pull request check --- inst/templates/ad_adex.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index c449c693b7..287579804b 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -37,13 +37,13 @@ ex <- convert_blanks_to_na(ex) ex <- ex %>% mutate( EXADJ = case_when( - USUBJID == "01-701-1034" & VISIT %in% c("WEEK 2", "WEEK 24") ~ "ADVERSE EVENT", - USUBJID == "01-701-1148" & VISIT %in% c("WEEK 24") ~ "MEDICATION ERROR", + USUBJID == "01-701-1034" & VISIT %in% c("WEEK 2", "WEEK 24") ~ "ADVERSE EVENT", + USUBJID == "01-701-1148" & VISIT %in% c("WEEK 24") ~ "MEDICATION ERROR", TRUE ~ NA_character_ ), EXDOSE = case_when( - USUBJID == "01-701-1034" & VISIT %in% c("WEEK 2", "WEEK 24") ~ 0, - USUBJID == "01-701-1148" & VISIT %in% c("WEEK 24") ~ 0, + USUBJID == "01-701-1034" & VISIT %in% c("WEEK 2", "WEEK 24") ~ 0, + USUBJID == "01-701-1148" & VISIT %in% c("WEEK 24") ~ 0, TRUE ~ EXDOSE ) ) %>% From 2157bba719a45bf64d0d74a16fab9be8720d52af Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Fri, 31 May 2024 10:34:38 -0400 Subject: [PATCH 05/22] change instances of by = get_admiral_option(...) to by_vars =. Also removed "!!!" from get_admiral_options as we do not neednto use unquoting where it is an argument --- inst/templates/ad_adae.R | 8 ++++---- inst/templates/ad_adcm.R | 4 ++-- inst/templates/ad_adeg.R | 6 +++--- inst/templates/ad_adex.R | 6 +++--- inst/templates/ad_adlb.R | 6 +++--- inst/templates/ad_adlbhy.R | 2 +- inst/templates/ad_admh.R | 8 ++++---- inst/templates/ad_adpc.R | 20 ++++++++++---------- inst/templates/ad_adpp.R | 4 ++-- inst/templates/ad_adppk.R | 18 +++++++++--------- inst/templates/ad_adsl.R | 20 ++++++++++---------- inst/templates/ad_advs.R | 10 +++++----- vignettes/admiral.Rmd | 6 +++--- vignettes/adsl.Rmd | 26 +++++++++++++------------- vignettes/bds_exposure.Rmd | 6 +++--- vignettes/bds_finding.Rmd | 10 +++++----- vignettes/bds_tte.Rmd | 4 ++-- vignettes/higher_order.Rmd | 6 +++--- vignettes/hys_law.Rmd | 2 +- vignettes/occds.Rmd | 6 +++--- vignettes/pk_adnca.Rmd | 34 +++++++++++++++++----------------- vignettes/questionnaires.Rmd | 6 +++--- vignettes/visits_periods.Rmd | 4 ++-- 23 files changed, 111 insertions(+), 111 deletions(-) diff --git a/inst/templates/ad_adae.R b/inst/templates/ad_adae.R index de274accfd..9be8b37198 100644 --- a/inst/templates/ad_adae.R +++ b/inst/templates/ad_adae.R @@ -40,7 +40,7 @@ adae <- ae %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Derive analysis start time ---- derive_vars_dtm( @@ -88,7 +88,7 @@ adae <- adae %>% ## Derive last dose date/time ---- derive_vars_joined( dataset_add = ex_ext, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -116,7 +116,7 @@ adae <- adae %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(desc(ASEVN), ASTDTM, AESEQ), new_var = AOCCIFL, mode = "first" @@ -128,7 +128,7 @@ adae <- adae %>% adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) diff --git a/inst/templates/ad_adcm.R b/inst/templates/ad_adcm.R index 2b3702b139..92eb17a2e2 100644 --- a/inst/templates/ad_adcm.R +++ b/inst/templates/ad_adcm.R @@ -36,7 +36,7 @@ adcm <- cm %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Derive analysis start time ---- derive_vars_dtm( @@ -132,7 +132,7 @@ adcm <- adcm %>% adcm <- adcm %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) diff --git a/inst/templates/ad_adeg.R b/inst/templates/ad_adeg.R index fea4b4ca39..bf67dc5205 100644 --- a/inst/templates/ad_adeg.R +++ b/inst/templates/ad_adeg.R @@ -105,7 +105,7 @@ adeg <- eg %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Calculate ADTM, ADY ---- derive_vars_dtm( @@ -306,7 +306,7 @@ adeg <- adeg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN, DTYPE), check_type = "error" ) %>% @@ -329,7 +329,7 @@ adeg <- adeg %>% adeg <- adeg %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index 287579804b..9e4135b37a 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -63,7 +63,7 @@ adex0 <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Calculate ASTDTM, AENDTM using `derive_vars_dtm()` ---- derive_vars_dtm( @@ -306,7 +306,7 @@ adex <- adex %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(PARCAT1, ASTDT, VISIT, VISITNUM, EXSEQ, PARAMN), check_type = "error" ) @@ -315,7 +315,7 @@ adex <- adex %>% adex <- adex %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adlb.R b/inst/templates/ad_adlb.R index b8d2d88ea4..82a8eab9df 100644 --- a/inst/templates/ad_adlb.R +++ b/inst/templates/ad_adlb.R @@ -92,7 +92,7 @@ adlb <- lb %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -428,7 +428,7 @@ adlb <- adlb %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM), check_type = "error" ) @@ -437,7 +437,7 @@ adlb <- adlb %>% adlb <- adlb %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index 0870bfc55e..e3f95ee3d6 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -56,7 +56,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADY), join_type = "all", filter_join = ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", diff --git a/inst/templates/ad_admh.R b/inst/templates/ad_admh.R index 9e80b09ab1..d5e32046ef 100644 --- a/inst/templates/ad_admh.R +++ b/inst/templates/ad_admh.R @@ -41,7 +41,7 @@ admh <- mh %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Derive dates (ASTDT, AEDT, ...) ---- # Derive analysis start date and flag @@ -82,7 +82,7 @@ admh <- mh %>% )) %>% ## Derive occurrence flags ---- derive_var_extreme_flag( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ASTDT, MHSEQ), new_var = AOCCFL, mode = "first" @@ -101,7 +101,7 @@ admh <- mh %>% ) %>% # (company specific occurrence flag variables derivation) derive_var_extreme_flag( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(!!!get_admiral_option("subject_keys"), AHIST, ASTDT, MHSEQ), new_var = AOCPFL, mode = "first" @@ -159,7 +159,7 @@ admh <- restrict_derivation( admh <- admh %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index 0c463fed5b..30b29e1c0d 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -75,7 +75,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -102,7 +102,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -202,7 +202,7 @@ adpc_first_dose <- pc_dates %>% adpc_prev <- adpc_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -221,7 +221,7 @@ adpc_prev <- adpc_first_dose %>% adpc_next <- adpc_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_next = ADTM, EXDOSE_next = EXDOSE, AVISIT_next = AVISIT, @@ -240,7 +240,7 @@ adpc_next <- adpc_prev %>% adpc_nom_prev <- adpc_next %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -256,7 +256,7 @@ adpc_nom_prev <- adpc_next %>% adpc_nom_next <- adpc_nom_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_next = NFRLT), join_vars = exprs(NFRLT), @@ -462,7 +462,7 @@ adpc_aseq <- adpc_chg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADTM, BASETYPE, EVID, AVISITN, ATPTN, PARCAT1, DTYPE), check_type = "error" ) %>% @@ -482,13 +482,13 @@ adpc_baselines <- adpc_aseq %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN, HTBLU = VSSTRESU) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN, WTBLU = VSSTRESU) ) %>% mutate( @@ -502,7 +502,7 @@ adpc_baselines <- adpc_aseq %>% adpc <- adpc_baselines %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adpp.R b/inst/templates/ad_adpp.R index f6c8838c07..3acade0c83 100644 --- a/inst/templates/ad_adpp.R +++ b/inst/templates/ad_adpp.R @@ -87,7 +87,7 @@ adpp_pp <- pp %>% derive_vars_merged( dataset_add = admiral_adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -144,7 +144,7 @@ adpp_avisit <- adpp_aval %>% adpp <- adpp_avisit %>% derive_vars_merged( dataset_add = select(admiral_adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index 472a5f1771..413d0ccec4 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -54,7 +54,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -79,7 +79,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -178,7 +178,7 @@ adppk_first_dose <- pc_dates %>% adppk_prev <- adppk_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -197,7 +197,7 @@ adppk_prev <- adppk_first_dose %>% adppk_nom_prev <- adppk_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -324,7 +324,7 @@ adppk_aseq <- adppk_aval %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(AFRLT, EVID, CMT), check_type = "error" ) %>% @@ -417,18 +417,18 @@ covar_vslb <- covar %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN) ) %>% derive_vars_transposed( dataset_merge = labsbl, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), key_var = LBTESTCDB, value_var = LBSTRESN ) %>% @@ -455,7 +455,7 @@ covar_vslb <- covar %>% adppk <- adppk_aseq %>% derive_vars_merged( dataset_add = covar_vslb, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% arrange(STUDYIDN, USUBJIDN, AFRLT, EVID) %>% mutate(RECSEQ = row_number()) diff --git a/inst/templates/ad_adsl.R b/inst/templates/ad_adsl.R index 6df6859177..4925133af6 100644 --- a/inst/templates/ad_adsl.R +++ b/inst/templates/ad_adsl.R @@ -130,7 +130,7 @@ adsl <- dm %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## derive treatment end date (TRTEDTM) ---- derive_vars_merged( @@ -141,7 +141,7 @@ adsl <- dm %>% new_vars = exprs(TRTEDTM = EXENDTM, TRTETMF = EXENTMF), order = exprs(EXENDTM, EXSEQ), mode = "last", - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Derive treatment end/start date TRTSDT/TRTEDT ---- derive_vars_dtm_to_dt(source_vars = exprs(TRTSDTM, TRTEDTM)) %>% @@ -160,20 +160,20 @@ ds_ext <- derive_vars_dt( adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(SCRFDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD == "SCREEN FAILURE" ) %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(EOSDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD != "SCREEN FAILURE" ) %>% # EOS status derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), filter_add = DSCAT == "DISPOSITION EVENT", new_vars = exprs(EOSSTT = format_eosstt(DSDECOD)), missing_values = exprs(EOSSTT = "ONGOING") @@ -181,7 +181,7 @@ adsl <- adsl %>% # Last retrieval date derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(FRVDT = DSSTDT), filter_add = DSCAT == "OTHER EVENT" & DSDECOD == "FINAL RETRIEVAL VISIT" ) %>% @@ -189,7 +189,7 @@ adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, filter_add = DSDECOD == "RANDOMIZED", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(RANDDT = DSSTDT) ) %>% # Death date - impute partial date to first day/month @@ -214,7 +214,7 @@ adsl <- adsl %>% ) %>% # Cause of Death and Traceability Variables derive_vars_extreme_event( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -247,7 +247,7 @@ adsl <- adsl %>% adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -290,7 +290,7 @@ adsl <- adsl %>% ) %>% derive_var_merged_exist_flag( dataset_add = ex, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_var = SAFFL, condition = (EXDOSE > 0 | (EXDOSE == 0 & str_detect(EXTRT, "PLACEBO"))) ) %>% diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index a521998270..fab099c0b5 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -81,7 +81,7 @@ advs <- vs %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -122,7 +122,7 @@ advs <- advs %>% set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) + constant_by_vars = exprs(get_admiral_option("subject_keys")) ) %>% # Derive Body Mass Index derive_param_bmi( @@ -130,7 +130,7 @@ advs <- advs %>% set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) + constant_by_vars = exprs(get_admiral_option("subject_keys")) ) @@ -275,7 +275,7 @@ advs <- advs %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN, DTYPE), check_type = "error" ) %>% @@ -290,7 +290,7 @@ advs <- advs %>% advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/vignettes/admiral.Rmd b/vignettes/admiral.Rmd index 44f7a495dd..32dd8c485b 100644 --- a/vignettes/admiral.Rmd +++ b/vignettes/admiral.Rmd @@ -128,7 +128,7 @@ adsl <- adsl %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` @@ -208,7 +208,7 @@ of the Final Lab Visit Date (`FINLABDT`) in the example below: adsl <- dm %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(FINLABDT = convert_dtc_to_dt(DSSTDTC)), filter_add = DSDECOD == "FINAL LAB VISIT" ) @@ -250,7 +250,7 @@ below we use `filter_extreme()` to extract the most recent MAP records in `advs` advs_lastmap <- advs %>% filter(PARAMCD == "MAP") %>% filter_extreme( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(AVISITN, PARAMCD), mode = "last" ) diff --git a/vignettes/adsl.Rmd b/vignettes/adsl.Rmd index 8d5e5f3fb4..a117c763f6 100644 --- a/vignettes/adsl.Rmd +++ b/vignettes/adsl.Rmd @@ -147,7 +147,7 @@ adsl <- adsl %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% derive_vars_merged( dataset_add = ex_ext, @@ -157,7 +157,7 @@ adsl <- adsl %>% new_vars = exprs(TRTEDTM = EXENDTM, TRTETMF = EXENTMF), order = exprs(EXENDTM, EXSEQ), mode = "last", - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` @@ -215,7 +215,7 @@ ds_ext <- derive_vars_dt( adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(EOSDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD != "SCREEN FAILURE" ) @@ -272,7 +272,7 @@ set to `"ONGOING"` by specifying the `missing_values` argument. adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), filter_add = DSCAT == "DISPOSITION EVENT", new_vars = exprs(EOSSTT = format_eosstt(DSDECOD)), missing_values = exprs(EOSSTT = "ONGOING") @@ -305,7 +305,7 @@ will map `DCSREAS` as `DSDECOD`, and `DCSREASP` as `DSTERM` if `DSDECOD` is not adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(DCSREAS = DSDECOD, DCSREASP = DSTERM), filter_add = DSCAT == "DISPOSITION EVENT" & !(DSDECOD %in% c("SCREEN FAILURE", "COMPLETED", NA)) @@ -333,14 +333,14 @@ adsl <- adsl %>% adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(DCSREAS = DSDECOD), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD %notin% c("SCREEN FAILURE", "COMPLETED", NA) ) %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(DCSREASP = DSTERM), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD %in% "OTHER" ) @@ -360,7 +360,7 @@ adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, filter_add = DSDECOD == "RANDOMIZED", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(RANDDT = DSSTDT) ) ``` @@ -431,7 +431,7 @@ An example call to `derive_vars_extreme_event()` would be: ```{r eval=TRUE} adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -468,7 +468,7 @@ that domain). The traceability variables should be added to the `event()` calls adsl <- adsl %>% select(-DTHCAUS) %>% # remove it before deriving it again derive_vars_extreme_event( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -556,7 +556,7 @@ day and month to the first): ```{r eval=TRUE} adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -613,7 +613,7 @@ Traceability variables can be added by specifying the variables in the `set_valu adsl <- adsl %>% select(-LSTALVDT) %>% # created in the previous call derive_vars_extreme_event( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), events = list( event( dataset_name = "ae", @@ -733,7 +733,7 @@ An example of an implementation could be: adsl <- adsl %>% derive_var_merged_exist_flag( dataset_add = ex, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_var = SAFFL, condition = (EXDOSE > 0 | (EXDOSE == 0 & str_detect(EXTRT, "PLACEBO"))) ) diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index ed8170cb73..139fd5ae99 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -82,7 +82,7 @@ adex <- derive_vars_merged( ex, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` @@ -579,7 +579,7 @@ example call is: adex <- derive_var_obs_number( adex, new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(PARCAT1, ASTDT, VISIT, VISITNUM, EXSEQ, PARAMN), check_type = "error" ) @@ -600,7 +600,7 @@ If needed, the other `ADSL` variables can now be added: adex <- adex %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` ## Add Labels and Attributes {#attributes} diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index f7588bf774..ac126802e2 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -86,7 +86,7 @@ advs <- derive_vars_merged( vs, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` @@ -319,7 +319,7 @@ advs <- derive_param_bsa( set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) + constant_by_vars = exprs(get_admiral_option("subject_keys")) ) advs <- derive_param_bmi( @@ -328,7 +328,7 @@ advs <- derive_param_bmi( set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) + constant_by_vars = exprs(get_admiral_option("subject_keys")) ) ``` @@ -832,7 +832,7 @@ example call is: advs <- derive_var_obs_number( advs, new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN), check_type = "error" ) @@ -890,7 +890,7 @@ List of ADSL variables already merged held in vector `adsl_vars` advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` diff --git a/vignettes/bds_tte.Rmd b/vignettes/bds_tte.Rmd index 12fe73032e..cd2ffc42fe 100644 --- a/vignettes/bds_tte.Rmd +++ b/vignettes/bds_tte.Rmd @@ -642,7 +642,7 @@ The `{admiral}` function `derive_var_obs_number()` can be used to derive `ASEQ`: ```{r eval=TRUE} adtte <- derive_var_obs_number( adtte, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(PARAMCD), check_type = "error" ) @@ -662,7 +662,7 @@ adtte <- derive_vars_merged( adtte, dataset_add = adsl, new_vars = exprs(ARMCD, ARM, ACTARMCD, ACTARM, AGE, SEX), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` diff --git a/vignettes/higher_order.Rmd b/vignettes/higher_order.Rmd index 970ecb2471..a6c26518ec 100644 --- a/vignettes/higher_order.Rmd +++ b/vignettes/higher_order.Rmd @@ -209,7 +209,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEVFL, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(TEMP_AESEVN, AESTDY, AESEQ), mode = "first" ), @@ -247,7 +247,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEV2FL, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ), derivation_slice( filter = AESTDY >= 1, @@ -286,7 +286,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEV3FL, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ), derivation_slice( filter = AESEV == "SEVERE", diff --git a/vignettes/hys_law.Rmd b/vignettes/hys_law.Rmd index db0d9f1fd5..d0b0c8da13 100644 --- a/vignettes/hys_law.Rmd +++ b/vignettes/hys_law.Rmd @@ -113,7 +113,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADY), join_type = "all", filter_join = 0 <= ADT.join - ADT & ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index c07d34b71b..289b35cecc 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -79,7 +79,7 @@ adae <- derive_vars_merged( ae, dataset_add = adsl, new_vars = adsl_vars, - by = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` @@ -239,7 +239,7 @@ ex_single <- derive_vars_dtm( adae <- derive_vars_joined( adae, ex_single, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -485,7 +485,7 @@ If needed, the other `ADSL` variables can now be added: adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` diff --git a/vignettes/pk_adnca.Rmd b/vignettes/pk_adnca.Rmd index ba44396055..363fac479a 100644 --- a/vignettes/pk_adnca.Rmd +++ b/vignettes/pk_adnca.Rmd @@ -175,7 +175,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -219,7 +219,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -383,7 +383,7 @@ previous dose (`ADTM_prev)`, we also keep the actual dose amount adpc_prev <- adpc_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -418,7 +418,7 @@ and the next analysis visit `AVISIT_next`. adpc_next <- adpc_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_next = ADTM, EXDOSE_next = EXDOSE, AVISIT_next = AVISIT, @@ -457,7 +457,7 @@ parameter uses the nominal relative times, e.g. `NFRLT > NFRLT.join`. adpc_nom_prev <- adpc_next %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -473,7 +473,7 @@ adpc_nom_prev <- adpc_next %>% adpc_nom_next <- adpc_nom_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_next = NFRLT), join_vars = exprs(NFRLT), @@ -844,7 +844,7 @@ adpc_aseq <- adpc_chg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADTM, BASETYPE, EVID, AVISITN, ATPTN, PARCAT1, DTYPE), check_type = "error" ) %>% @@ -881,13 +881,13 @@ adpc_baselines <- adpc_aseq %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN, HTBLU = VSSTRESU) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN, WTBLU = VSSTRESU) ) %>% mutate( @@ -912,7 +912,7 @@ If needed, the other `ADSL` variables can now be added: adpc <- adpc_baselines %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) ``` @@ -1025,7 +1025,7 @@ and nominal time. We will use `derive_vars_joined()` as we did for adppk_prev <- adppk_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -1044,7 +1044,7 @@ adppk_prev <- adppk_first_dose %>% adppk_nom_prev <- adppk_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -1228,7 +1228,7 @@ adppk_aseq <- adppk_aval %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(AFRLT, EVID, CMT), check_type = "error" ) %>% @@ -1359,18 +1359,18 @@ covar_vslb <- covar %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN) ) %>% derive_vars_transposed( dataset_merge = labsbl, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), key_var = LBTESTCDB, value_var = LBSTRESN ) %>% @@ -1413,7 +1413,7 @@ Finally, we combine the covariates with the `ADPPK` data. adppk <- adppk_aseq %>% derive_vars_merged( dataset_add = covar_vslb, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% arrange(STUDYIDN, USUBJIDN, AFRLT, EVID) %>% mutate(RECSEQ = row_number()) diff --git a/vignettes/questionnaires.Rmd b/vignettes/questionnaires.Rmd index 9c35798746..c4f4151d8b 100644 --- a/vignettes/questionnaires.Rmd +++ b/vignettes/questionnaires.Rmd @@ -88,7 +88,7 @@ adqs <- qs %>% derive_vars_merged( dataset_add = adsl, new_vars = exprs(TRTSDT, DTHCAUS), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = exprs(get_admiral_option("subject_keys")) ) %>% # Add analysis parameter variables mutate( @@ -222,7 +222,7 @@ adgdssf <- adgdssf %>% derive_var_pchg() %>% # Derive sequence number derive_var_obs_number( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT), check_type = "error" ) @@ -571,7 +571,7 @@ parm_visit_ref <- crossing( adgdssf <- adgdssf %>% derive_expected_records( dataset_ref = parm_visit_ref, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), set_values_to = exprs( filled_in = 1 ) diff --git a/vignettes/visits_periods.Rmd b/vignettes/visits_periods.Rmd index cb642cfa18..ab7efd1724 100644 --- a/vignettes/visits_periods.Rmd +++ b/vignettes/visits_periods.Rmd @@ -316,7 +316,7 @@ adae <- tribble( adae1 <- adae %>% derive_vars_joined( dataset_add = phase_ref, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), filter_join = PHSDT <= ASTDT & ASTDT <= PHEDT, join_type = "all" ) @@ -385,7 +385,7 @@ adae <- tribble( adae2 <- adae %>% derive_vars_joined( dataset_add = period_ref, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = exprs(get_admiral_option("subject_keys")), new_vars = exprs(APERIOD, TRTA), join_vars = exprs(APERSDT, APEREDT), join_type = "all", From e2638ed5f359dc1de6acce4d72cf2bad4b5b6ba2 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Fri, 31 May 2024 10:38:39 -0400 Subject: [PATCH 06/22] Updated News.md --- NEWS.md | 1 + 1 file changed, 1 insertion(+) diff --git a/NEWS.md b/NEWS.md index 07bd18bfab..2d831c2b0b 100644 --- a/NEWS.md +++ b/NEWS.md @@ -11,6 +11,7 @@ - New `country_code_lookup()` metadata added to decode countries based on [ISO 3166 codes](https://www.iso.org/iso-3166-country-codes.html). (#2388) ## Updates of Existing Functions +- Replaced hard coding of `expr(USUBJID, STUDYID)` and `expr(USUBJID)` with `get_admiral_option("subject_keys")` so the argument is flexible and can be changed from the default by the user. (#2415) - Templates for ADPC, ADPPK and ADPP are updated to handle urine records. (#2392) From 80b9cf299d18cc0c939c6a9902b95b9cd0e13ec2 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Fri, 31 May 2024 13:14:40 -0400 Subject: [PATCH 07/22] fixed syntax and remoced expr() from around get_admiral_options(...). Also ran styler() on ad.adcm.rm ad_adae, and occds.Rmd --- R/duplicates.R | 3 ++- inst/templates/ad_adae.R | 8 ++++---- inst/templates/ad_adcm.R | 4 ++-- inst/templates/ad_adeg.R | 6 +++--- inst/templates/ad_adex.R | 6 +++--- inst/templates/ad_adlb.R | 6 +++--- inst/templates/ad_adlbhy.R | 2 +- inst/templates/ad_admh.R | 8 ++++---- inst/templates/ad_adpc.R | 20 +++++++++---------- inst/templates/ad_adpp.R | 4 ++-- inst/templates/ad_adppk.R | 18 ++++++++--------- inst/templates/ad_adsl.R | 20 +++++++++---------- inst/templates/ad_advs.R | 10 +++++----- man/signal_duplicate_records.Rd | 2 +- vignettes/admiral.Rmd | 6 +++--- vignettes/adsl.Rmd | 26 ++++++++++++------------- vignettes/bds_exposure.Rmd | 6 +++--- vignettes/bds_finding.Rmd | 10 +++++----- vignettes/bds_tte.Rmd | 4 ++-- vignettes/higher_order.Rmd | 6 +++--- vignettes/hys_law.Rmd | 2 +- vignettes/occds.Rmd | 6 +++--- vignettes/pk_adnca.Rmd | 34 ++++++++++++++++----------------- vignettes/questionnaires.Rmd | 6 +++--- vignettes/visits_periods.Rmd | 4 ++-- 25 files changed, 114 insertions(+), 113 deletions(-) diff --git a/R/duplicates.R b/R/duplicates.R index d5de01aa3c..7af84275c8 100644 --- a/R/duplicates.R +++ b/R/duplicates.R @@ -108,7 +108,8 @@ extract_duplicate_records <- function(dataset, by_vars) { #' signal_duplicate_records(adsl, exprs(USUBJID), cnd_type = "message") signal_duplicate_records <- function(dataset, by_vars, - msg = "Dataset contains duplicate records with respect to {.var {replace_values_by_names(by_vars)}}", # nolint + msg = "Dataset contains duplicate records with respect to + {.var {replace_values_by_names(by_vars)}}", # nolint cnd_type = "error") { assert_expr_list(by_vars) assert_data_frame(dataset, required_vars = extract_vars(by_vars), check_is_grouped = FALSE) diff --git a/inst/templates/ad_adae.R b/inst/templates/ad_adae.R index 9be8b37198..bb2f5891d7 100644 --- a/inst/templates/ad_adae.R +++ b/inst/templates/ad_adae.R @@ -40,7 +40,7 @@ adae <- ae %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Derive analysis start time ---- derive_vars_dtm( @@ -88,7 +88,7 @@ adae <- adae %>% ## Derive last dose date/time ---- derive_vars_joined( dataset_add = ex_ext, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -116,7 +116,7 @@ adae <- adae %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(desc(ASEVN), ASTDTM, AESEQ), new_var = AOCCIFL, mode = "first" @@ -128,7 +128,7 @@ adae <- adae %>% adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) diff --git a/inst/templates/ad_adcm.R b/inst/templates/ad_adcm.R index 92eb17a2e2..e23b7870c4 100644 --- a/inst/templates/ad_adcm.R +++ b/inst/templates/ad_adcm.R @@ -36,7 +36,7 @@ adcm <- cm %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Derive analysis start time ---- derive_vars_dtm( @@ -132,7 +132,7 @@ adcm <- adcm %>% adcm <- adcm %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) diff --git a/inst/templates/ad_adeg.R b/inst/templates/ad_adeg.R index bf67dc5205..8823dee98a 100644 --- a/inst/templates/ad_adeg.R +++ b/inst/templates/ad_adeg.R @@ -105,7 +105,7 @@ adeg <- eg %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Calculate ADTM, ADY ---- derive_vars_dtm( @@ -306,7 +306,7 @@ adeg <- adeg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN, DTYPE), check_type = "error" ) %>% @@ -329,7 +329,7 @@ adeg <- adeg %>% adeg <- adeg %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index 9e4135b37a..2533dd3240 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -63,7 +63,7 @@ adex0 <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Calculate ASTDTM, AENDTM using `derive_vars_dtm()` ---- derive_vars_dtm( @@ -306,7 +306,7 @@ adex <- adex %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARCAT1, ASTDT, VISIT, VISITNUM, EXSEQ, PARAMN), check_type = "error" ) @@ -315,7 +315,7 @@ adex <- adex %>% adex <- adex %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adlb.R b/inst/templates/ad_adlb.R index 82a8eab9df..aa7fdb2258 100644 --- a/inst/templates/ad_adlb.R +++ b/inst/templates/ad_adlb.R @@ -92,7 +92,7 @@ adlb <- lb %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -428,7 +428,7 @@ adlb <- adlb %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM), check_type = "error" ) @@ -437,7 +437,7 @@ adlb <- adlb %>% adlb <- adlb %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index e3f95ee3d6..efada5e56d 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -56,7 +56,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADY), join_type = "all", filter_join = ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", diff --git a/inst/templates/ad_admh.R b/inst/templates/ad_admh.R index d5e32046ef..645701ecc7 100644 --- a/inst/templates/ad_admh.R +++ b/inst/templates/ad_admh.R @@ -41,7 +41,7 @@ admh <- mh %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Derive dates (ASTDT, AEDT, ...) ---- # Derive analysis start date and flag @@ -82,7 +82,7 @@ admh <- mh %>% )) %>% ## Derive occurrence flags ---- derive_var_extreme_flag( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ASTDT, MHSEQ), new_var = AOCCFL, mode = "first" @@ -101,7 +101,7 @@ admh <- mh %>% ) %>% # (company specific occurrence flag variables derivation) derive_var_extreme_flag( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(!!!get_admiral_option("subject_keys"), AHIST, ASTDT, MHSEQ), new_var = AOCPFL, mode = "first" @@ -159,7 +159,7 @@ admh <- restrict_derivation( admh <- admh %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index 30b29e1c0d..d684ef6eba 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -75,7 +75,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -102,7 +102,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -202,7 +202,7 @@ adpc_first_dose <- pc_dates %>% adpc_prev <- adpc_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -221,7 +221,7 @@ adpc_prev <- adpc_first_dose %>% adpc_next <- adpc_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_next = ADTM, EXDOSE_next = EXDOSE, AVISIT_next = AVISIT, @@ -240,7 +240,7 @@ adpc_next <- adpc_prev %>% adpc_nom_prev <- adpc_next %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -256,7 +256,7 @@ adpc_nom_prev <- adpc_next %>% adpc_nom_next <- adpc_nom_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_next = NFRLT), join_vars = exprs(NFRLT), @@ -462,7 +462,7 @@ adpc_aseq <- adpc_chg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM, BASETYPE, EVID, AVISITN, ATPTN, PARCAT1, DTYPE), check_type = "error" ) %>% @@ -482,13 +482,13 @@ adpc_baselines <- adpc_aseq %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(HTBL = VSSTRESN, HTBLU = VSSTRESU) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(WTBL = VSSTRESN, WTBLU = VSSTRESU) ) %>% mutate( @@ -502,7 +502,7 @@ adpc_baselines <- adpc_aseq %>% adpc <- adpc_baselines %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adpp.R b/inst/templates/ad_adpp.R index 3acade0c83..eb4d11236a 100644 --- a/inst/templates/ad_adpp.R +++ b/inst/templates/ad_adpp.R @@ -87,7 +87,7 @@ adpp_pp <- pp %>% derive_vars_merged( dataset_add = admiral_adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -144,7 +144,7 @@ adpp_avisit <- adpp_aval %>% adpp <- adpp_avisit %>% derive_vars_merged( dataset_add = select(admiral_adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index 413d0ccec4..b460d613e2 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -54,7 +54,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -79,7 +79,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -178,7 +178,7 @@ adppk_first_dose <- pc_dates %>% adppk_prev <- adppk_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -197,7 +197,7 @@ adppk_prev <- adppk_first_dose %>% adppk_nom_prev <- adppk_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -324,7 +324,7 @@ adppk_aseq <- adppk_aval %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(AFRLT, EVID, CMT), check_type = "error" ) %>% @@ -417,18 +417,18 @@ covar_vslb <- covar %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(HTBL = VSSTRESN) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(WTBL = VSSTRESN) ) %>% derive_vars_transposed( dataset_merge = labsbl, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), key_var = LBTESTCDB, value_var = LBSTRESN ) %>% @@ -455,7 +455,7 @@ covar_vslb <- covar %>% adppk <- adppk_aseq %>% derive_vars_merged( dataset_add = covar_vslb, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% arrange(STUDYIDN, USUBJIDN, AFRLT, EVID) %>% mutate(RECSEQ = row_number()) diff --git a/inst/templates/ad_adsl.R b/inst/templates/ad_adsl.R index 4925133af6..428326c601 100644 --- a/inst/templates/ad_adsl.R +++ b/inst/templates/ad_adsl.R @@ -130,7 +130,7 @@ adsl <- dm %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## derive treatment end date (TRTEDTM) ---- derive_vars_merged( @@ -141,7 +141,7 @@ adsl <- dm %>% new_vars = exprs(TRTEDTM = EXENDTM, TRTETMF = EXENTMF), order = exprs(EXENDTM, EXSEQ), mode = "last", - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Derive treatment end/start date TRTSDT/TRTEDT ---- derive_vars_dtm_to_dt(source_vars = exprs(TRTSDTM, TRTEDTM)) %>% @@ -160,20 +160,20 @@ ds_ext <- derive_vars_dt( adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(SCRFDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD == "SCREEN FAILURE" ) %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(EOSDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD != "SCREEN FAILURE" ) %>% # EOS status derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), filter_add = DSCAT == "DISPOSITION EVENT", new_vars = exprs(EOSSTT = format_eosstt(DSDECOD)), missing_values = exprs(EOSSTT = "ONGOING") @@ -181,7 +181,7 @@ adsl <- adsl %>% # Last retrieval date derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(FRVDT = DSSTDT), filter_add = DSCAT == "OTHER EVENT" & DSDECOD == "FINAL RETRIEVAL VISIT" ) %>% @@ -189,7 +189,7 @@ adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, filter_add = DSDECOD == "RANDOMIZED", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(RANDDT = DSSTDT) ) %>% # Death date - impute partial date to first day/month @@ -214,7 +214,7 @@ adsl <- adsl %>% ) %>% # Cause of Death and Traceability Variables derive_vars_extreme_event( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "ae", @@ -247,7 +247,7 @@ adsl <- adsl %>% adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "ae", @@ -290,7 +290,7 @@ adsl <- adsl %>% ) %>% derive_var_merged_exist_flag( dataset_add = ex, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_var = SAFFL, condition = (EXDOSE > 0 | (EXDOSE == 0 & str_detect(EXTRT, "PLACEBO"))) ) %>% diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index fab099c0b5..9b6b45400b 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -81,7 +81,7 @@ advs <- vs %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -122,7 +122,7 @@ advs <- advs %>% set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(get_admiral_option("subject_keys")) + constant_by_vars = get_admiral_option("subject_keys") ) %>% # Derive Body Mass Index derive_param_bmi( @@ -130,7 +130,7 @@ advs <- advs %>% set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(get_admiral_option("subject_keys")) + constant_by_vars = get_admiral_option("subject_keys") ) @@ -275,7 +275,7 @@ advs <- advs %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN, DTYPE), check_type = "error" ) %>% @@ -290,7 +290,7 @@ advs <- advs %>% advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) # Final Steps, Select final variables and Add labels diff --git a/man/signal_duplicate_records.Rd b/man/signal_duplicate_records.Rd index 076bc3cbaf..0ae321a7f2 100644 --- a/man/signal_duplicate_records.Rd +++ b/man/signal_duplicate_records.Rd @@ -8,7 +8,7 @@ signal_duplicate_records( dataset, by_vars, msg = - "Dataset contains duplicate records with respect to {.var {replace_values_by_names(by_vars)}}", + "Dataset contains duplicate records with respect to\\n {.var {replace_values_by_names(by_vars)}}", cnd_type = "error" ) } diff --git a/vignettes/admiral.Rmd b/vignettes/admiral.Rmd index 32dd8c485b..f009dd0223 100644 --- a/vignettes/admiral.Rmd +++ b/vignettes/admiral.Rmd @@ -128,7 +128,7 @@ adsl <- adsl %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -208,7 +208,7 @@ of the Final Lab Visit Date (`FINLABDT`) in the example below: adsl <- dm %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(FINLABDT = convert_dtc_to_dt(DSSTDTC)), filter_add = DSDECOD == "FINAL LAB VISIT" ) @@ -250,7 +250,7 @@ below we use `filter_extreme()` to extract the most recent MAP records in `advs` advs_lastmap <- advs %>% filter(PARAMCD == "MAP") %>% filter_extreme( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN, PARAMCD), mode = "last" ) diff --git a/vignettes/adsl.Rmd b/vignettes/adsl.Rmd index a117c763f6..3df26ae469 100644 --- a/vignettes/adsl.Rmd +++ b/vignettes/adsl.Rmd @@ -147,7 +147,7 @@ adsl <- adsl %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% derive_vars_merged( dataset_add = ex_ext, @@ -157,7 +157,7 @@ adsl <- adsl %>% new_vars = exprs(TRTEDTM = EXENDTM, TRTETMF = EXENTMF), order = exprs(EXENDTM, EXSEQ), mode = "last", - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -215,7 +215,7 @@ ds_ext <- derive_vars_dt( adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(EOSDT = DSSTDT), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD != "SCREEN FAILURE" ) @@ -272,7 +272,7 @@ set to `"ONGOING"` by specifying the `missing_values` argument. adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), filter_add = DSCAT == "DISPOSITION EVENT", new_vars = exprs(EOSSTT = format_eosstt(DSDECOD)), missing_values = exprs(EOSSTT = "ONGOING") @@ -305,7 +305,7 @@ will map `DCSREAS` as `DSDECOD`, and `DCSREASP` as `DSTERM` if `DSDECOD` is not adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(DCSREAS = DSDECOD, DCSREASP = DSTERM), filter_add = DSCAT == "DISPOSITION EVENT" & !(DSDECOD %in% c("SCREEN FAILURE", "COMPLETED", NA)) @@ -333,14 +333,14 @@ adsl <- adsl %>% adsl <- adsl %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(DCSREAS = DSDECOD), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD %notin% c("SCREEN FAILURE", "COMPLETED", NA) ) %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(DCSREASP = DSTERM), filter_add = DSCAT == "DISPOSITION EVENT" & DSDECOD %in% "OTHER" ) @@ -360,7 +360,7 @@ adsl <- adsl %>% derive_vars_merged( dataset_add = ds_ext, filter_add = DSDECOD == "RANDOMIZED", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(RANDDT = DSSTDT) ) ``` @@ -431,7 +431,7 @@ An example call to `derive_vars_extreme_event()` would be: ```{r eval=TRUE} adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "ae", @@ -468,7 +468,7 @@ that domain). The traceability variables should be added to the `event()` calls adsl <- adsl %>% select(-DTHCAUS) %>% # remove it before deriving it again derive_vars_extreme_event( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "ae", @@ -556,7 +556,7 @@ day and month to the first): ```{r eval=TRUE} adsl <- adsl %>% derive_vars_extreme_event( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "ae", @@ -613,7 +613,7 @@ Traceability variables can be added by specifying the variables in the `set_valu adsl <- adsl %>% select(-LSTALVDT) %>% # created in the previous call derive_vars_extreme_event( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "ae", @@ -733,7 +733,7 @@ An example of an implementation could be: adsl <- adsl %>% derive_var_merged_exist_flag( dataset_add = ex, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_var = SAFFL, condition = (EXDOSE > 0 | (EXDOSE == 0 & str_detect(EXTRT, "PLACEBO"))) ) diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index 139fd5ae99..09d7f44c4c 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -82,7 +82,7 @@ adex <- derive_vars_merged( ex, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -579,7 +579,7 @@ example call is: adex <- derive_var_obs_number( adex, new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARCAT1, ASTDT, VISIT, VISITNUM, EXSEQ, PARAMN), check_type = "error" ) @@ -600,7 +600,7 @@ If needed, the other `ADSL` variables can now be added: adex <- adex %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` ## Add Labels and Attributes {#attributes} diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index ac126802e2..88ae64988c 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -86,7 +86,7 @@ advs <- derive_vars_merged( vs, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -319,7 +319,7 @@ advs <- derive_param_bsa( set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(get_admiral_option("subject_keys")) + constant_by_vars = get_admiral_option("subject_keys") ) advs <- derive_param_bmi( @@ -328,7 +328,7 @@ advs <- derive_param_bmi( set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(get_admiral_option("subject_keys")) + constant_by_vars = get_admiral_option("subject_keys") ) ``` @@ -832,7 +832,7 @@ example call is: advs <- derive_var_obs_number( advs, new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN), check_type = "error" ) @@ -890,7 +890,7 @@ List of ADSL variables already merged held in vector `adsl_vars` advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` diff --git a/vignettes/bds_tte.Rmd b/vignettes/bds_tte.Rmd index cd2ffc42fe..6ec45c2eb0 100644 --- a/vignettes/bds_tte.Rmd +++ b/vignettes/bds_tte.Rmd @@ -642,7 +642,7 @@ The `{admiral}` function `derive_var_obs_number()` can be used to derive `ASEQ`: ```{r eval=TRUE} adtte <- derive_var_obs_number( adtte, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARAMCD), check_type = "error" ) @@ -662,7 +662,7 @@ adtte <- derive_vars_merged( adtte, dataset_add = adsl, new_vars = exprs(ARMCD, ARM, ACTARMCD, ACTARM, AGE, SEX), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` diff --git a/vignettes/higher_order.Rmd b/vignettes/higher_order.Rmd index a6c26518ec..3d262e9865 100644 --- a/vignettes/higher_order.Rmd +++ b/vignettes/higher_order.Rmd @@ -209,7 +209,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEVFL, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(TEMP_AESEVN, AESTDY, AESEQ), mode = "first" ), @@ -247,7 +247,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEV2FL, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ), derivation_slice( filter = AESTDY >= 1, @@ -286,7 +286,7 @@ ae <- ae %>% derivation = derive_var_extreme_flag, args = params( new_var = AHSEV3FL, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ), derivation_slice( filter = AESEV == "SEVERE", diff --git a/vignettes/hys_law.Rmd b/vignettes/hys_law.Rmd index d0b0c8da13..3736512381 100644 --- a/vignettes/hys_law.Rmd +++ b/vignettes/hys_law.Rmd @@ -113,7 +113,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADY), join_type = "all", filter_join = 0 <= ADT.join - ADT & ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index 289b35cecc..ca99d247b5 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -79,7 +79,7 @@ adae <- derive_vars_merged( ae, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -239,7 +239,7 @@ ex_single <- derive_vars_dtm( adae <- derive_vars_joined( adae, ex_single, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -485,7 +485,7 @@ If needed, the other `ADSL` variables can now be added: adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` diff --git a/vignettes/pk_adnca.Rmd b/vignettes/pk_adnca.Rmd index 363fac479a..e0a741827e 100644 --- a/vignettes/pk_adnca.Rmd +++ b/vignettes/pk_adnca.Rmd @@ -175,7 +175,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -219,7 +219,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -383,7 +383,7 @@ previous dose (`ADTM_prev)`, we also keep the actual dose amount adpc_prev <- adpc_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -418,7 +418,7 @@ and the next analysis visit `AVISIT_next`. adpc_next <- adpc_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_next = ADTM, EXDOSE_next = EXDOSE, AVISIT_next = AVISIT, @@ -457,7 +457,7 @@ parameter uses the nominal relative times, e.g. `NFRLT > NFRLT.join`. adpc_nom_prev <- adpc_next %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -473,7 +473,7 @@ adpc_nom_prev <- adpc_next %>% adpc_nom_next <- adpc_nom_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_next = NFRLT), join_vars = exprs(NFRLT), @@ -844,7 +844,7 @@ adpc_aseq <- adpc_chg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM, BASETYPE, EVID, AVISITN, ATPTN, PARCAT1, DTYPE), check_type = "error" ) %>% @@ -881,13 +881,13 @@ adpc_baselines <- adpc_aseq %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(HTBL = VSSTRESN, HTBLU = VSSTRESU) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(WTBL = VSSTRESN, WTBLU = VSSTRESU) ) %>% mutate( @@ -912,7 +912,7 @@ If needed, the other `ADSL` variables can now be added: adpc <- adpc_baselines %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -1025,7 +1025,7 @@ and nominal time. We will use `derive_vars_joined()` as we did for adppk_prev <- adppk_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -1044,7 +1044,7 @@ adppk_prev <- adppk_first_dose %>% adppk_nom_prev <- adppk_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -1228,7 +1228,7 @@ adppk_aseq <- adppk_aval %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(AFRLT, EVID, CMT), check_type = "error" ) %>% @@ -1359,18 +1359,18 @@ covar_vslb <- covar %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(HTBL = VSSTRESN) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(WTBL = VSSTRESN) ) %>% derive_vars_transposed( dataset_merge = labsbl, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), key_var = LBTESTCDB, value_var = LBSTRESN ) %>% @@ -1413,7 +1413,7 @@ Finally, we combine the covariates with the `ADPPK` data. adppk <- adppk_aseq %>% derive_vars_merged( dataset_add = covar_vslb, - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% arrange(STUDYIDN, USUBJIDN, AFRLT, EVID) %>% mutate(RECSEQ = row_number()) diff --git a/vignettes/questionnaires.Rmd b/vignettes/questionnaires.Rmd index c4f4151d8b..23d9ceecd7 100644 --- a/vignettes/questionnaires.Rmd +++ b/vignettes/questionnaires.Rmd @@ -88,7 +88,7 @@ adqs <- qs %>% derive_vars_merged( dataset_add = adsl, new_vars = exprs(TRTSDT, DTHCAUS), - by_vars = exprs(get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Add analysis parameter variables mutate( @@ -222,7 +222,7 @@ adgdssf <- adgdssf %>% derive_var_pchg() %>% # Derive sequence number derive_var_obs_number( - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARAMCD, ADT), check_type = "error" ) @@ -571,7 +571,7 @@ parm_visit_ref <- crossing( adgdssf <- adgdssf %>% derive_expected_records( dataset_ref = parm_visit_ref, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), set_values_to = exprs( filled_in = 1 ) diff --git a/vignettes/visits_periods.Rmd b/vignettes/visits_periods.Rmd index ab7efd1724..0a8faf7aee 100644 --- a/vignettes/visits_periods.Rmd +++ b/vignettes/visits_periods.Rmd @@ -316,7 +316,7 @@ adae <- tribble( adae1 <- adae %>% derive_vars_joined( dataset_add = phase_ref, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), filter_join = PHSDT <= ASTDT & ASTDT <= PHEDT, join_type = "all" ) @@ -385,7 +385,7 @@ adae <- tribble( adae2 <- adae %>% derive_vars_joined( dataset_add = period_ref, - by_vars = exprs(get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(APERIOD, TRTA), join_vars = exprs(APERSDT, APEREDT), join_type = "all", From 3628b0b04f0f81c326d34089e10b441fa9cab85a Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Fri, 31 May 2024 13:20:13 -0400 Subject: [PATCH 08/22] styler function ran on templates wasnt in last push --- inst/templates/ad_adae.R | 2 +- inst/templates/ad_adcm.R | 2 +- vignettes/occds.Rmd | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/inst/templates/ad_adae.R b/inst/templates/ad_adae.R index bb2f5891d7..8c1f718fe0 100644 --- a/inst/templates/ad_adae.R +++ b/inst/templates/ad_adae.R @@ -40,7 +40,7 @@ adae <- ae %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = get_admiral_option("subject_keys") ) %>% ## Derive analysis start time ---- derive_vars_dtm( diff --git a/inst/templates/ad_adcm.R b/inst/templates/ad_adcm.R index e23b7870c4..6ab911a372 100644 --- a/inst/templates/ad_adcm.R +++ b/inst/templates/ad_adcm.R @@ -36,7 +36,7 @@ adcm <- cm %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = get_admiral_option("subject_keys") ) %>% ## Derive analysis start time ---- derive_vars_dtm( diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index ca99d247b5..45306ba723 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -79,7 +79,7 @@ adae <- derive_vars_merged( ae, dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = get_admiral_option("subject_keys") ) ``` From b56823fe197a0d21ff7417526224f46c95f5aab1 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Fri, 31 May 2024 13:29:26 -0400 Subject: [PATCH 09/22] Missed some get_admiral_option syntax changes that werentt included in last pushs --- inst/templates/ad_adcm.R | 2 +- inst/templates/ad_adeg.R | 20 ++++++------- inst/templates/ad_adex.R | 4 +-- inst/templates/ad_adlb.R | 28 +++++++++---------- inst/templates/ad_adlbhy.R | 4 +-- inst/templates/ad_admh.R | 18 ++++++------ inst/templates/ad_adpc.R | 4 +-- inst/templates/ad_adppk.R | 2 +- inst/templates/ad_advs.R | 18 ++++++------ vignettes/admiral.Rmd | 12 ++++---- vignettes/adsl.Rmd | 32 ++++++++++----------- vignettes/bds_exposure.Rmd | 22 +++++++-------- vignettes/bds_finding.Rmd | 54 ++++++++++++++++++------------------ vignettes/bds_tte.Rmd | 18 ++++++------ vignettes/higher_order.Rmd | 18 ++++++------ vignettes/hys_law.Rmd | 2 +- vignettes/pk_adnca.Rmd | 6 ++-- vignettes/questionnaires.Rmd | 50 ++++++++++++++++----------------- vignettes/visits_periods.Rmd | 4 +-- 19 files changed, 159 insertions(+), 159 deletions(-) diff --git a/inst/templates/ad_adcm.R b/inst/templates/ad_adcm.R index 6ab911a372..ae86ba14d3 100644 --- a/inst/templates/ad_adcm.R +++ b/inst/templates/ad_adcm.R @@ -97,7 +97,7 @@ adcm <- adcm %>% derivation = derive_var_extreme_flag, args = params( new_var = AOCCPFL, - by_vars = exprs(!!!get_admiral_option("subject_keys"), CMDECOD), + by_vars = get_admiral_option("subject_keys"), CMDECOD), order = exprs(ASTDTM, CMSEQ), mode = "first" ), diff --git a/inst/templates/ad_adeg.R b/inst/templates/ad_adeg.R index 8823dee98a..dced481f14 100644 --- a/inst/templates/ad_adeg.R +++ b/inst/templates/ad_adeg.R @@ -137,7 +137,7 @@ adeg <- adeg %>% # Derive RRR derive_param_rr( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), set_values_to = exprs(PARAMCD = "RRR"), hr_code = "HR", get_unit_expr = tolower(EGSTRESU), @@ -145,7 +145,7 @@ adeg <- adeg %>% ) %>% # Derive QTCBR derive_param_qtc( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), method = "Bazett", set_values_to = exprs(PARAMCD = "QTCBR"), qt_code = "QT", @@ -155,7 +155,7 @@ adeg <- adeg %>% ) %>% # Derive QTCFR derive_param_qtc( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), method = "Fridericia", set_values_to = exprs(PARAMCD = "QTCFR"), qt_code = "QT", @@ -165,7 +165,7 @@ adeg <- adeg %>% ) %>% # Derive QTLCR derive_param_qtc( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), method = "Sagie", set_values_to = exprs(PARAMCD = "QTLCR"), qt_code = "QT", @@ -202,7 +202,7 @@ adeg <- adeg %>% adeg <- adeg %>% derive_summary_records( dataset_add = adeg, - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT), filter_add = dplyr::n() >= 2 & PARAMCD != "EGINTP", set_values_to = exprs( AVAL = mean(AVAL, na.rm = TRUE), @@ -245,7 +245,7 @@ adeg <- adeg %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), + by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, VISITNUM, EGSEQ), new_var = ABLFL, mode = "last" @@ -260,19 +260,19 @@ adeg <- adeg %>% adeg <- adeg %>% # Calculate BASE derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) %>% # Calculate BASEC derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVALC, new_var = BASEC ) %>% # Calculate BNRIND derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) %>% @@ -286,7 +286,7 @@ adeg <- adeg %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), order = exprs(ADT, AVAL), new_var = ANL01FL, mode = "last" diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index 2533dd3240..b512190a03 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -159,7 +159,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars) + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars) ) %>% # W2-W24 exposure call_derivation( @@ -208,7 +208,7 @@ adex <- adex %>% ), dataset_add = adex, filter_add = VISIT %in% c("WEEK 2", "WEEK 24"), - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars) + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars) ) %>% # Overall Dose intensity and W2-24 dose intensity call_derivation( diff --git a/inst/templates/ad_adlb.R b/inst/templates/ad_adlb.R index aa7fdb2258..236fd8ddbd 100644 --- a/inst/templates/ad_adlb.R +++ b/inst/templates/ad_adlb.R @@ -131,7 +131,7 @@ adlb <- adlb %>% adlb <- adlb %>% # Derive absolute Basophils derive_param_wbc_abs( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), set_values_to = exprs( PARAMCD = "BASO", PARAM = "Basophils Abs (10^9/L)", @@ -144,7 +144,7 @@ adlb <- adlb %>% ) %>% # Derive absolute Lymphocytes derive_param_wbc_abs( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), set_values_to = exprs( PARAMCD = "LYMPH", PARAM = "Lymphocytes Abs (10^9/L)", @@ -196,7 +196,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), + by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, VISITNUM, LBSEQ), new_var = ABLFL, mode = "last" @@ -208,19 +208,19 @@ adlb <- adlb %>% adlb <- adlb %>% # Calculate BASE derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) %>% # Calculate BASEC derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVALC, new_var = BASEC ) %>% # Calculate BNRIND derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) %>% @@ -294,19 +294,19 @@ adlb <- adlb %>% derive_var_atoxgr() %>% # Derive baseline toxicity grade for low values BTOXGRL derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ATOXGRL, new_var = BTOXGRL ) %>% # Derive baseline toxicity grade for high values BTOXGRH derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ATOXGRH, new_var = BTOXGRH ) %>% # Derive baseline toxicity grade for for overall grade BTOXGR derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ATOXGR, new_var = BTOXGR ) @@ -353,7 +353,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT), + by_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT), order = exprs(ADT, AVAL), new_var = ANL01FL, mode = "last" @@ -363,7 +363,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT, AVAL), new_var = LVOTFL, mode = "last" @@ -386,7 +386,7 @@ adlb <- adlb %>% # get MINIMUM value derive_extreme_records( dataset_add = adlb, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), order = exprs(AVAL, ADT, AVISITN), mode = "first", filter_add = (!is.na(AVAL) & ONTRTFL == "Y"), @@ -399,7 +399,7 @@ adlb <- adlb %>% # get MAXIMUM value derive_extreme_records( dataset_add = adlb, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), order = exprs(desc(AVAL), ADT, AVISITN), mode = "first", filter_add = (!is.na(AVAL) & ONTRTFL == "Y"), @@ -412,7 +412,7 @@ adlb <- adlb %>% # get LOV value derive_extreme_records( dataset_add = adlb, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), order = exprs(ADT, AVISITN), mode = "last", filter_add = (ONTRTFL == "Y"), diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index efada5e56d..2586474731 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -32,7 +32,7 @@ adlb_annotated <- adlb %>% ., derivation = derive_var_merged_exist_flag, dataset_add = ., - by_vars = exprs(!!!get_admiral_option("subject_keys"), LBSEQ, PARAMCD, ADT), + by_vars = get_admiral_option("subject_keys"), LBSEQ, PARAMCD, ADT), variable_params = list( params( new_var = CRIT1FL, @@ -79,7 +79,7 @@ hylaw_params <- derive_param_exist_flag( condition = CRIT1FL == "Y" & BILI_CRITFL == "Y", false_value = "N", missing_value = "N", - by_vars = exprs(!!!get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit + by_vars = get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit set_values_to = exprs( PARAMCD = "HYSLAW", PARAM = "ALT/AST >= 3xULN and BILI >= 2xULN" diff --git a/inst/templates/ad_admh.R b/inst/templates/ad_admh.R index 645701ecc7..9e11158d80 100644 --- a/inst/templates/ad_admh.R +++ b/inst/templates/ad_admh.R @@ -88,33 +88,33 @@ admh <- mh %>% mode = "first" ) %>% derive_var_extreme_flag( - by_vars = exprs(!!!get_admiral_option("subject_keys"), MHBODSYS), - order = exprs(!!!get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + by_vars = get_admiral_option("subject_keys"), MHBODSYS), + order = get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCCSFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = exprs(!!!get_admiral_option("subject_keys"), MHDECOD), - order = exprs(!!!get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + by_vars = get_admiral_option("subject_keys"), MHDECOD), + order = get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCCPFL, mode = "first" ) %>% # (company specific occurrence flag variables derivation) derive_var_extreme_flag( by_vars = get_admiral_option("subject_keys"), - order = exprs(!!!get_admiral_option("subject_keys"), AHIST, ASTDT, MHSEQ), + order = get_admiral_option("subject_keys"), AHIST, ASTDT, MHSEQ), new_var = AOCPFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = exprs(!!!get_admiral_option("subject_keys"), MHBODSYS), - order = exprs(!!!get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, ASTDT, MHSEQ), + by_vars = get_admiral_option("subject_keys"), MHBODSYS), + order = get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, ASTDT, MHSEQ), new_var = AOCPSFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = exprs(!!!get_admiral_option("subject_keys"), MHDECOD), - order = exprs(!!!get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + by_vars = get_admiral_option("subject_keys"), MHDECOD), + order = get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCPPFL, mode = "first" ) %>% diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index d684ef6eba..20d7845c4c 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -185,7 +185,7 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) + by_vars = get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -448,7 +448,7 @@ adpc_dtype <- bind_rows(adpc_aval, dtype) %>% adpc_base <- adpc_dtype %>% derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), source_var = AVAL, new_var = BASE, filter = ABLFL == "Y" diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index b460d613e2..2e21b7a225 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -161,7 +161,7 @@ adppk_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM, EXDOSE_first = EXDOSE), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) + by_vars = get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index 9b6b45400b..8f751dea6d 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -110,14 +110,14 @@ advs <- advs %>% # Derive Mean Arterial Pressure derive_param_map( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) ) %>% # Derive Body Surface Area derive_param_bsa( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, @@ -126,7 +126,7 @@ advs <- advs %>% ) %>% # Derive Body Mass Index derive_param_bmi( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), @@ -158,7 +158,7 @@ advs <- advs %>% advs <- advs %>% derive_summary_records( dataset_add = advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT, ADY), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT, ADY), filter_add = !is.na(AVAL), set_values_to = exprs( AVAL = mean(AVAL), @@ -197,7 +197,7 @@ advs <- advs %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), + by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, VISITNUM, VSSEQ), new_var = ABLFL, mode = "last" @@ -210,7 +210,7 @@ advs <- advs %>% advs <- advs %>% # Calculate BASE derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) %>% @@ -224,7 +224,7 @@ advs <- advs %>% # ) %>% # Calculate BNRIND derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) %>% @@ -240,7 +240,7 @@ advs <- advs %>% derivation = derive_var_extreme_flag, args = params( new_var = ANL01FL, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), order = exprs(ADT, AVAL), mode = "last" ), @@ -255,7 +255,7 @@ advs <- advs %>% # Create End of Treatment Record derive_extreme_records( dataset_add = advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, ATPTN), + by_vars = get_admiral_option("subject_keys"), PARAMCD, ATPTN), order = exprs(ADT, AVISITN, AVAL), mode = "last", filter_add = (4 < AVISITN & AVISITN <= 13 & ANL01FL == "Y" & is.na(DTYPE)), diff --git a/vignettes/admiral.Rmd b/vignettes/admiral.Rmd index f009dd0223..b856f908cb 100644 --- a/vignettes/admiral.Rmd +++ b/vignettes/admiral.Rmd @@ -135,7 +135,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTSDTM, TRTSTMF) + display_vars = get_admiral_option("subject_keys"), TRTSDTM, TRTSTMF) ) ``` @@ -151,7 +151,7 @@ the variable values for the new derived record. ```{r eval=TRUE} advs <- advs %>% derive_param_computed( - by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, AVISITN), + by_vars = get_admiral_option("subject_keys"), AVISIT, AVISITN), parameters = c("SYSBP", "DIABP"), set_values_to = exprs( AVAL = (AVAL.SYSBP + 2 * AVAL.DIABP) / 3, @@ -166,7 +166,7 @@ advs <- advs %>% advs %>% arrange(!!!get_admiral_option("subject_keys"), AVISITN, PARAMCD) %>% dataset_vignette( - display_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) + display_vars = get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) ) ``` @@ -217,7 +217,7 @@ adsl <- dm %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), FINLABDT) + display_vars = get_admiral_option("subject_keys"), FINLABDT) ) ``` @@ -233,7 +233,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), RFSTDTC, RFSTDT) + display_vars = get_admiral_option("subject_keys"), RFSTDTC, RFSTDT) ) ``` @@ -259,7 +259,7 @@ advs_lastmap <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs_lastmap, - display_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) + display_vars = get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) ) ``` diff --git a/vignettes/adsl.Rmd b/vignettes/adsl.Rmd index 3df26ae469..fe77af129e 100644 --- a/vignettes/adsl.Rmd +++ b/vignettes/adsl.Rmd @@ -88,7 +88,7 @@ adsl <- dm %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), RFSTDTC, COUNTRY, AGE, SEX, RACE, ETHNIC, ARM, ACTARM) + display_vars = get_admiral_option("subject_keys"), RFSTDTC, COUNTRY, AGE, SEX, RACE, ETHNIC, ARM, ACTARM) ) ``` @@ -186,7 +186,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), RFSTDTC, TRTSDTM, TRTSDT, TRTEDTM, TRTEDT, TRTDURD) + display_vars = get_admiral_option("subject_keys"), RFSTDTC, TRTSDTM, TRTSDT, TRTEDTM, TRTEDT, TRTDURD) ) ``` @@ -225,14 +225,14 @@ The `ds_ext` dataset: ```{r, eval=TRUE, echo=FALSE} dataset_vignette( ds_ext, - display_vars = exprs(!!!get_admiral_option("subject_keys"), DSCAT, DSDECOD, DSTERM, DSSTDT, DSSTDTC), + display_vars = get_admiral_option("subject_keys"), DSCAT, DSDECOD, DSTERM, DSSTDT, DSSTDTC), filter = DSDECOD != "SCREEN FAILURE" ) ``` The `adsl` dataset: ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT)) +dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), EOSDT)) ``` The `derive_vars_dt()` function allows to impute partial dates as well. If @@ -280,7 +280,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT, EOSSTT)) +dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), EOSDT, EOSSTT)) ``` This call would return the input dataset with the column `EOSSTT` added. @@ -313,7 +313,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT, EOSSTT, DCSREAS, DCSREASP)) +dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), EOSDT, EOSSTT, DCSREAS, DCSREASP)) ``` This call would return the input dataset with the column `DCSREAS` and `DCSREASP` added. @@ -347,7 +347,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT, EOSSTT, DCSREAS, DCSREASP)) +dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), EOSDT, EOSSTT, DCSREAS, DCSREASP)) ``` ### Randomization Date (`RANDDT`) {#randomization_date} @@ -369,7 +369,7 @@ adsl <- adsl %>% This call would return the input dataset with the column `RANDDT` is added. ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = exprs(!!!get_admiral_option("subject_keys"), RANDDT)) +dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), RANDDT)) ``` ## Derive Death Variables {#death} @@ -390,7 +390,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl %>% filter(!is.na(DTHDT) | row_number() %% 50 == 0), display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHFL)) +dataset_vignette(adsl %>% filter(!is.na(DTHDT) | row_number() %% 50 == 0), display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHFL)) ``` This call would return the input dataset with the columns `DTHDT` added and, by @@ -455,7 +455,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), EOSDT, DTHDTC, DTHDT, DTHCAUS), + display_vars = get_admiral_option("subject_keys"), EOSDT, DTHDTC, DTHDT, DTHCAUS), filter = DTHFL == "Y" ) ``` @@ -492,7 +492,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHDOM, DTHSEQ), + display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHDOM, DTHSEQ), filter = DTHFL == "Y" ) ``` @@ -540,7 +540,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHADY, LDDTHELD), + display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHADY, LDDTHELD), filter = DTHFL == "Y" ) ``` @@ -602,7 +602,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, LSTALVDT), + display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, LSTALVDT), filter = !is.na(TRTSDT) ) ``` @@ -665,7 +665,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTEDT, DTHDTC, LSTALVDT, LALVDOM, LALVSEQ, LALVVAR), + display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, LSTALVDT, LALVDOM, LALVSEQ, LALVVAR), filter = !is.na(TRTSDT) ) ``` @@ -718,7 +718,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), AGE, SEX, COUNTRY, AGEGR1, REGION1) + display_vars = get_admiral_option("subject_keys"), AGE, SEX, COUNTRY, AGEGR1, REGION1) ) ``` @@ -742,7 +742,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTSDT, ARM, ACTARM, SAFFL) + display_vars = get_admiral_option("subject_keys"), TRTSDT, ARM, ACTARM, SAFFL) ) ``` diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index 09d7f44c4c..b40a66d128 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -136,7 +136,7 @@ adex <- derive_vars_dt(adex, new_vars_prefix = "AEN", dtc = EXENDTC) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, ASTDT, AENDT) + display_vars = get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, ASTDT, AENDT) ) ``` @@ -163,7 +163,7 @@ adex <- derive_vars_dtm( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, ASTDTM, AENDTM) + display_vars = get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, ASTDTM, AENDTM) ) ``` @@ -260,7 +260,7 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs(!!!get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDURD, DOSEO, PDOSEO) + display_vars = get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDURD, DOSEO, PDOSEO) ) ``` @@ -277,13 +277,13 @@ frequency to a corresponding set of records each representing one dose (i.e. ```{r eval=TRUE, echo=TRUE} single_dose <- adex %>% filter(USUBJID == "01-701-1015" & EXSTDY == 1) %>% - create_single_dose_dataset(keep_source_vars = exprs(!!!get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) + create_single_dose_dataset(keep_source_vars = get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( single_dose, - display_vars = exprs(!!!get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT) + display_vars = get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT) ) ``` @@ -346,7 +346,7 @@ count(adex, PARAMCD) ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, VISIT, desc(PARAMCD), EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, ASTDT, AENDT, PARAMCD, AVAL, AVALC)) + dataset_vignette(display_vars = get_admiral_option("subject_keys"), VISIT, ASTDT, AENDT, PARAMCD, AVAL, AVALC)) ``` ## Create Summary Records {#summaryrec} @@ -362,7 +362,7 @@ For example, to calculate the total dose by subject and treatment, adex <- derive_param_exposure( adex, dataset_add = adex, - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars), input_code = "DOSE", set_values_to = exprs( PARAMCD = "TDOSE", @@ -442,7 +442,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars) + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars) ) count(adex, PARAMCD, PARCAT1) @@ -466,7 +466,7 @@ specified in the `by_vars` argument will be populated in this new record. ```{r eval=TRUE, echo=TRUE} adex <- adex %>% derive_param_doseint( - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars), set_values_to = exprs(PARAMCD = "TNDOSINT"), tadm_code = "TDOSE", tpadm_code = "TPDOSE" @@ -567,7 +567,7 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, AVALCAT1, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, AVALCAT1)) + dataset_vignette(display_vars = get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, AVALCAT1)) ``` ## Assign `ASEQ` {#aseq} @@ -588,7 +588,7 @@ adex <- derive_var_obs_number( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, ASEQ) + display_vars = get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, ASEQ) ) ``` diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index 88ae64988c..7a975fae82 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -93,7 +93,7 @@ advs <- derive_vars_merged( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDTC, VISIT, TRTSDT, TRTEDT, TRT01A, TRT01P), + display_vars = get_admiral_option("subject_keys"), VSTESTCD, VSDTC, VISIT, TRTSDT, TRTEDT, TRT01A, TRT01P), filter = VSTESTCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -113,7 +113,7 @@ advs <- derive_vars_dt(advs, new_vars_prefix = "A", dtc = VSDTC) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, VSDTC, ADT), + display_vars = get_admiral_option("subject_keys"), VISIT, VSDTC, ADT), filter = VSTESTCD == "DIABP" ) ``` @@ -147,7 +147,7 @@ advs <- derive_vars_dt( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, VSDTC, ADT, ADTF), + display_vars = get_admiral_option("subject_keys"), VISIT, VSDTC, ADT, ADTF), filter = USUBJID == "01-716-1024" ) ``` @@ -188,7 +188,7 @@ advs <- ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, ADT, ADY, TRTSDT), + display_vars = get_admiral_option("subject_keys"), VISIT, ADT, ADY, TRTSDT), filter = USUBJID == "01-716-1024" ) ``` @@ -293,7 +293,7 @@ Example 3 in section below [Derive New Rows](#additional) for alternative way of ```{r eval=TRUE} advs <- derive_param_map( advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) @@ -314,7 +314,7 @@ Likewise, function call below, to create parameter `Body Surface Area` (BSA) and ```{r eval=TRUE} advs <- derive_param_bsa( advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, @@ -324,7 +324,7 @@ advs <- derive_param_bsa( advs <- derive_param_bmi( advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), @@ -335,7 +335,7 @@ advs <- derive_param_bmi( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs, USUBJID, VISITNUM, VSTPTNUM, ADT, PARAMCD), - display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, PARAMCD, VISIT, VSTPT, AVAL), + display_vars = get_admiral_option("subject_keys"), VSTESTCD, PARAMCD, VISIT, VSTPT, AVAL), filter = PARAMCD %in% c("BSA", "BMI") ) ``` @@ -354,7 +354,7 @@ adeg <- tibble::tribble( adeg <- derive_param_qtc( adeg, - by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT), + by_vars = get_admiral_option("subject_keys"), VISIT), method = "Fridericia", set_values_to = exprs(PARAMCD = "QTCFR"), get_unit_expr = EGSTRESU @@ -375,7 +375,7 @@ adlb <- tibble::tribble( derive_param_wbc_abs( dataset = adlb, - by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT), + by_vars = get_admiral_option("subject_keys"), VISIT), set_values_to = exprs( PARAMCD = "LYMPH", PARAM = "Lymphocytes Abs (10^9/L)", @@ -615,7 +615,7 @@ advs <- restrict_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), + by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, ATPTN, VISITNUM), new_var = ABLFL, mode = "last" @@ -627,7 +627,7 @@ advs <- restrict_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ADT, TRTSDT, ATPTN, TRTSDT, ABLFL), + display_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ADT, TRTSDT, ATPTN, TRTSDT, ABLFL), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "BASELINE") ) ``` @@ -641,14 +641,14 @@ Lastly, the `BASE`, and `BNRIND` columns can be derived using the `{admiral}` f ```{r eval=TRUE} advs <- derive_var_base( advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) advs <- derive_var_base( advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) @@ -657,7 +657,7 @@ advs <- derive_var_base( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ABLFL, BASE, ANRIND, BNRIND), + display_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ABLFL, BASE, ANRIND, BNRIND), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "BASELINE") ) ``` @@ -678,7 +678,7 @@ advs <- derive_var_pchg(advs) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, BASE, AVAL, CHG, PCHG), + display_vars = get_admiral_option("subject_keys"), VISIT, BASE, AVAL, CHG, PCHG), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -728,7 +728,7 @@ advs <- derive_var_analysis_ratio(advs, ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, BASE, AVAL, ANRLO, R2BASE, R01ANRLO), + display_vars = get_admiral_option("subject_keys"), VISIT, BASE, AVAL, ANRLO, R2BASE, R01ANRLO), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -754,7 +754,7 @@ advs <- restrict_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), + by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), order = exprs(ADT, ATPTN, AVAL), new_var = ANL01FL, mode = "last" @@ -766,7 +766,7 @@ advs <- restrict_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPTN, ADT, AVAL, ANL01FL), + display_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPTN, ADT, AVAL, ANL01FL), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -781,7 +781,7 @@ advs <- slice_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), + by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), order = exprs(ADT, ATPTN), new_var = WORSTFL, mode = "first" @@ -801,7 +801,7 @@ advs <- slice_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, AVAL, ADT, ATPTN, WORSTFL), + display_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT, AVAL, ADT, ATPTN, WORSTFL), filter = USUBJID == "01-701-1015" & WORSTFL == "Y" ) ``` @@ -924,7 +924,7 @@ assign a unique `AVISITN` value. advs_ex1 <- advs %>% derive_extreme_records( dataset_add = advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT, AVISITN, ATPTN, AVAL), mode = "last", filter_add = (4 < AVISITN & AVISITN <= 12 & ANL01FL == "Y"), @@ -954,7 +954,7 @@ and assign a unique `AVISITN` value. advs_ex1 <- advs %>% derive_extreme_records( dataset_add = advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), order = exprs(AVAL, ADT, AVISITN, ATPTN), mode = "first", filter_add = (4 < AVISITN & AVISITN <= 12 & ANL01FL == "Y" & !is.na(AVAL)), @@ -988,7 +988,7 @@ Set `DTYPE` to `AVERAGE`. advs_ex2 <- derive_summary_records( advs, dataset_add = advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT), + by_vars = get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT), set_values_to = exprs( AVAL = mean(AVAL, na.rm = TRUE), DTYPE = "AVERAGE" @@ -999,7 +999,7 @@ advs_ex2 <- derive_summary_records( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex2, USUBJID, PARAMCD, VISITNUM, ADT, DTYPE), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT, AVAL, DTYPE), + display_vars = get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT, AVAL, DTYPE), filter = USUBJID == "01-701-1015" ) ``` @@ -1016,7 +1016,7 @@ Below is an example of creating `Mean Arterial Pressure` ```{r eval=TRUE} advs_ex3 <- derive_param_computed( advs, - by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, ATPT), + by_vars = get_admiral_option("subject_keys"), VISIT, ATPT), parameters = c("SYSBP", "DIABP"), set_values_to = exprs( AVAL = (AVAL.SYSBP - AVAL.DIABP) / 3 + AVAL.DIABP, @@ -1029,7 +1029,7 @@ advs_ex3 <- derive_param_computed( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex3, !!!get_admiral_option("subject_keys"), VISIT, ATPT, PARAMCD), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISIT, ATPT, AVAL), + display_vars = get_admiral_option("subject_keys"), PARAMCD, VISIT, ATPT, AVAL), filter = USUBJID == "01-701-1015" & PARAMCD %in% c("MAP2", "SYSBP", "DIABP") ) ``` diff --git a/vignettes/bds_tte.Rmd b/vignettes/bds_tte.Rmd index 6ec45c2eb0..326708f311 100644 --- a/vignettes/bds_tte.Rmd +++ b/vignettes/bds_tte.Rmd @@ -148,7 +148,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, CNSR) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, CNSR) ) ``` @@ -190,7 +190,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, CNSR) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, CNSR) ) ``` @@ -239,7 +239,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = exprs(!!!get_admiral_option("subject_keys"), EVNTDESC, SRCDOM, SRCVAR, CNSR, ADT) + display_vars = get_admiral_option("subject_keys"), EVNTDESC, SRCDOM, SRCVAR, CNSR, ADT) ) # save adtte and adsl for next section adtte_bak <- adtte @@ -282,7 +282,7 @@ adsl <- tibble::tribble( dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), DTHFL, DTHDT, TRTSDT, TRTSDTF) + display_vars = get_admiral_option("subject_keys"), DTHFL, DTHDT, TRTSDT, TRTSDTF) ) ``` @@ -309,7 +309,7 @@ adrs <- tibble::tribble( dataset_vignette( adrs, - display_vars = exprs(!!!get_admiral_option("subject_keys"), AVALC, ADT, ASEQ, PARAMCD, PARAM) + display_vars = get_admiral_option("subject_keys"), AVALC, ADT, ASEQ, PARAMCD, PARAM) ) ``` @@ -410,7 +410,7 @@ dataset_vignette( !!!get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, ADTF, CNSR, EVNTDESC, SRCDOM, SRCVAR ), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, ADTF, CNSR) + display_vars = get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, ADTF, CNSR) ) ``` @@ -505,7 +505,7 @@ adaette <- call_derivation( adaette %>% select(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% arrange(!!!get_admiral_option("subject_keys"), PARAMCD) %>% - dataset_vignette(display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) + dataset_vignette(display_vars = get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) ``` ### Deriving Time-to-Event Parameters Using By Groups @@ -605,7 +605,7 @@ dataset_vignette( !!!get_admiral_option("subject_keys"), STARTDT, PARAMCD, PARAM, PARCAT1, PARCAT2, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR, SRCSEQ ), - display_vars = exprs(!!!get_admiral_option("subject_keys"), STARTDT, PARAMCD, PARAM, ADT, CNSR, SRCSEQ) + display_vars = get_admiral_option("subject_keys"), STARTDT, PARAMCD, PARAM, ADT, CNSR, SRCSEQ) ) ``` @@ -669,7 +669,7 @@ adtte <- derive_vars_merged( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, CNSR, AVAL, ARMCD, AGE, SEX) + display_vars = get_admiral_option("subject_keys"), PARAMCD, CNSR, AVAL, ARMCD, AGE, SEX) ) ``` diff --git a/vignettes/higher_order.Rmd b/vignettes/higher_order.Rmd index 3d262e9865..415b9421f8 100644 --- a/vignettes/higher_order.Rmd +++ b/vignettes/higher_order.Rmd @@ -87,13 +87,13 @@ Here is an example of how to achieve this **without** using `call_derivation()`: ```{r} vs_without <- vs %>% derive_var_extreme_flag( - by_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD), + by_vars = get_admiral_option("subject_keys"), VSTESTCD), order = exprs(VSORRES, VSSEQ), new_var = AHIFL, mode = "last" ) %>% derive_var_extreme_flag( - by_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD), + by_vars = get_admiral_option("subject_keys"), VSTESTCD), order = exprs(VSORRES, VSSEQ), new_var = ALOFL, mode = "first" @@ -104,7 +104,7 @@ vs_without <- vs %>% vs_without %>% arrange(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDY, VSSEQ) %>% dataset_vignette( - display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, VSORRES, ALOFL, AHIFL), + display_vars = get_admiral_option("subject_keys"), VSTESTCD, VSORRES, ALOFL, AHIFL), filter = VSTESTCD %in% c("TEMP", "WEIGHT") ) ``` @@ -120,7 +120,7 @@ vs_with <- vs %>% params(new_var = AHIFL, mode = "last"), params(new_var = ALOFL, mode = "first") ), - by_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD), + by_vars = get_admiral_option("subject_keys"), VSTESTCD), order = exprs(VSORRES, VSSEQ) ) ``` @@ -129,7 +129,7 @@ vs_with <- vs %>% vs_with %>% arrange(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDY, VSSEQ) %>% dataset_vignette( - display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, VSORRES, ALOFL, AHIFL), + display_vars = get_admiral_option("subject_keys"), VSTESTCD, VSORRES, ALOFL, AHIFL), filter = VSTESTCD %in% c("TEMP", "WEIGHT") ) ``` @@ -176,7 +176,7 @@ adaette <- call_derivation( adaette %>% select(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% arrange(!!!get_admiral_option("subject_keys"), PARAMCD) %>% - dataset_vignette(display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) + dataset_vignette(display_vars = get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) ``` Developing your ADaM scripts this way using `call_derivation()` could give the @@ -221,7 +221,7 @@ ae <- ae %>% ae %>% arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ, desc(TEMP_AESEVN)) %>% dataset_vignette( - display_vars = exprs(!!!get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEVFL) + display_vars = get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEVFL) ) ``` @@ -264,7 +264,7 @@ ae <- ae %>% ae %>% arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ, desc(TEMP_AESEVN)) %>% dataset_vignette( - display_vars = exprs(!!!get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEV2FL) + display_vars = get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEV2FL) ) ``` @@ -307,7 +307,7 @@ ae <- ae %>% ae %>% arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ) %>% dataset_vignette( - display_vars = exprs(!!!get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEV3FL) + display_vars = get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEV3FL) ) ``` diff --git a/vignettes/hys_law.Rmd b/vignettes/hys_law.Rmd index 3736512381..0a6ac30a8b 100644 --- a/vignettes/hys_law.Rmd +++ b/vignettes/hys_law.Rmd @@ -154,7 +154,7 @@ hylaw_params <- derive_param_exist_flag( condition = CRIT1FL == "Y" & BILI_CRITFL == "Y", false_value = "N", missing_value = "N", - by_vars = exprs(!!!get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit + by_vars = get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit set_values_to = exprs( PARAMCD = "HYSLAW", PARAM = "ALT/AST >= 3xULN and BILI >= 2xULN", diff --git a/vignettes/pk_adnca.Rmd b/vignettes/pk_adnca.Rmd index e0a741827e..4a96ff6caa 100644 --- a/vignettes/pk_adnca.Rmd +++ b/vignettes/pk_adnca.Rmd @@ -348,7 +348,7 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) + by_vars = get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -830,7 +830,7 @@ Finally we derive `PARAM` and `PARAMN` from a lookup table. adpc_base <- adpc_dtype %>% # Derive BASE derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), + by_vars = get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), source_var = AVAL, new_var = BASE, filter = ABLFL == "Y" @@ -991,7 +991,7 @@ adppk_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM, EXDOSE_first = EXDOSE), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) + by_vars = get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time diff --git a/vignettes/questionnaires.Rmd b/vignettes/questionnaires.Rmd index 23d9ceecd7..b68e48380c 100644 --- a/vignettes/questionnaires.Rmd +++ b/vignettes/questionnaires.Rmd @@ -110,7 +110,7 @@ adqs <- qs %>% ```{r echo=FALSE} dataset_vignette( arrange(adqs, USUBJID, PARCAT1, ADY, PARAMCD), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, PARCAT1, AVALC, AVAL, ADY, AVISIT) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, PARCAT1, AVALC, AVAL, ADY, AVISIT) ) ``` @@ -143,7 +143,7 @@ adgad7 <- adqs %>% derive_summary_records( dataset = ., dataset_add = ., - by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, ADT, ADY, TRTSDT, DTHCAUS), + by_vars = get_admiral_option("subject_keys"), AVISIT, ADT, ADY, TRTSDT, DTHCAUS), # Select records contributing to total score filter_add = str_detect(PARAMCD, "GAD020[1-7]"), set_values_to = exprs( @@ -157,7 +157,7 @@ adgad7 <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adgad7, USUBJID, ADY, PARAMCD), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, ADY, AVISIT) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, ADY, AVISIT) ) ``` @@ -173,7 +173,7 @@ adgdssf <- adqs %>% derive_summary_records( dataset = ., dataset_add = ., - by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, ADT, ADY, TRTSDT, DTHCAUS), + by_vars = get_admiral_option("subject_keys"), AVISIT, ADT, ADY, TRTSDT, DTHCAUS), # Select records contributing to total score filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), set_values_to = exprs( @@ -193,7 +193,7 @@ adgdssf <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, ADY, PARAMCD), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, ADY, AVISIT) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, ADY, AVISIT) ) ``` @@ -205,7 +205,7 @@ adgdssf <- adgdssf %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = ABLFL, mode = "last" @@ -214,7 +214,7 @@ adgdssf <- adgdssf %>% ) %>% # Derive baseline and change from baseline variables derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), source_var = AVAL, new_var = BASE ) %>% @@ -231,7 +231,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( adgdssf, - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVAL, BASE, CHG, PCHG) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVAL, BASE, CHG, PCHG) ) ``` @@ -264,12 +264,12 @@ adgdssf <- adgdssf %>% ) ) %>% derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), source_var = AVALCAT1, new_var = BASECAT1 ) %>% derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), source_var = AVALCAT1N, new_var = BASECA1N ) %>% @@ -285,7 +285,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVAL, AVALCAT1, CHGCAT1) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVAL, AVALCAT1, CHGCAT1) ) ``` @@ -349,7 +349,7 @@ adgdstte <- derive_param_tte( ```{r echo=FALSE} dataset_vignette( adgdstte, - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, CNSR, EVNTDESC, SRCDOM, SRCVAR) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, CNSR, EVNTDESC, SRCDOM, SRCVAR) ) ``` @@ -365,7 +365,7 @@ later: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = CDETFL, join_vars = exprs(CHGCAT1, ADY), @@ -379,7 +379,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, CDETFL) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, CDETFL) ) ``` @@ -391,7 +391,7 @@ argument is helpful: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = CONDETFL, join_vars = exprs(CHGCAT1), @@ -407,7 +407,7 @@ adgdssf <- adgdssf %>% derive_var_joined_exist_flag( ., dataset_add = ., - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = CDTDTHFL, join_vars = exprs(CHGCAT1, ADY), @@ -422,7 +422,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, CONDETFL, CDTDTHFL) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, CONDETFL, CDTDTHFL) ) ``` @@ -433,7 +433,7 @@ parameter summary functions like `all()` can be used in the filter condition: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), + by_vars = get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT), new_var = DEFDETFL, join_vars = exprs(CHGCAT1), @@ -445,7 +445,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, DEFDETFL) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, DEFDETFL) ) ``` @@ -465,7 +465,7 @@ example, "no sleeping problems" is assumed if all questions were answered with adsp <- adqs %>% filter(PARCAT1 == "SLEEPING PROBLEMS") %>% derive_extreme_event( - by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT), + by_vars = get_admiral_option("subject_keys"), AVISIT), tmp_event_nr_var = event_nr, order = exprs(event_nr, ADY, QSSEQ), mode = "first", @@ -516,7 +516,7 @@ adsp <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adsp, USUBJID, ADY, PARAMCD), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) ) ``` @@ -529,7 +529,7 @@ adgdssf <- adgdssf %>% derive_summary_records( dataset_add = adgdssf, filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), - by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT), + by_vars = get_admiral_option("subject_keys"), AVISIT), set_values_to = exprs( AVAL = sum(!is.na(AVAL)) / 15 >= 0.9, PARAMCD = "COMPL90P", @@ -542,7 +542,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, PARAMCD, ADY), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) ) ``` @@ -580,7 +580,7 @@ adgdssf <- adgdssf %>% dataset = ., dataset_add = ., filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), - by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT), + by_vars = get_admiral_option("subject_keys"), AVISIT), set_values_to = exprs( AVAL = all(!is.na(AVAL)), PARAMCD = "COMPLALL", @@ -595,6 +595,6 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, PARAMCD, ADY), - display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) + display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) ) ``` diff --git a/vignettes/visits_periods.Rmd b/vignettes/visits_periods.Rmd index 0a8faf7aee..bd57f3a83e 100644 --- a/vignettes/visits_periods.Rmd +++ b/vignettes/visits_periods.Rmd @@ -288,7 +288,7 @@ adsl2 <- derive_vars_period( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl2, - display_vars = exprs(!!!get_admiral_option("subject_keys"), AP01SDT, AP01EDT, AP02SDT, AP02EDT) + display_vars = get_admiral_option("subject_keys"), AP01SDT, AP01EDT, AP02SDT, AP02EDT) ) ``` @@ -358,7 +358,7 @@ adsl <- derive_vars_period( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = exprs(!!!get_admiral_option("subject_keys"), TRT01A, TRT02A, AP01SDT, AP01EDT, AP02SDT, AP02EDT) + display_vars = get_admiral_option("subject_keys"), TRT01A, TRT02A, AP01SDT, AP01EDT, AP02SDT, AP02EDT) ) ``` From 61fd719a85b945ac93779e8d18a809d2b5fb751b Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Fri, 31 May 2024 19:43:24 -0400 Subject: [PATCH 10/22] Addressed additional get_admiral_option(...) syntax issues --- inst/templates/ad_adcm.R | 2 +- inst/templates/ad_adeg.R | 20 +++--- inst/templates/ad_adex.R | 16 ++--- inst/templates/ad_adlb.R | 28 ++++---- inst/templates/ad_adlbhy.R | 4 +- inst/templates/ad_admh.R | 8 +-- inst/templates/ad_adpc.R | 12 ++-- inst/templates/ad_adppk.R | 8 +-- inst/templates/ad_advs.R | 18 +++--- vignettes/admiral.Rmd | 12 ++-- vignettes/adsl.Rmd | 32 +++++----- vignettes/bds_exposure.Rmd | 74 ++++++++++----------- vignettes/bds_finding.Rmd | 54 ++++++++-------- vignettes/bds_tte.Rmd | 25 +++++--- vignettes/higher_order.Rmd | 18 +++--- vignettes/hys_law.Rmd | 2 +- vignettes/occds.Rmd | 37 ++++++----- vignettes/pk_adnca.Rmd | 120 ++++++++++++++++++++--------------- vignettes/questionnaires.Rmd | 50 +++++++-------- vignettes/visits_periods.Rmd | 4 +- 20 files changed, 288 insertions(+), 256 deletions(-) diff --git a/inst/templates/ad_adcm.R b/inst/templates/ad_adcm.R index ae86ba14d3..16ce9f9cd3 100644 --- a/inst/templates/ad_adcm.R +++ b/inst/templates/ad_adcm.R @@ -97,7 +97,7 @@ adcm <- adcm %>% derivation = derive_var_extreme_flag, args = params( new_var = AOCCPFL, - by_vars = get_admiral_option("subject_keys"), CMDECOD), + by_vars = c(get_admiral_option("subject_keys"), exprs(CMDECOD)), order = exprs(ASTDTM, CMSEQ), mode = "first" ), diff --git a/inst/templates/ad_adeg.R b/inst/templates/ad_adeg.R index dced481f14..4101294913 100644 --- a/inst/templates/ad_adeg.R +++ b/inst/templates/ad_adeg.R @@ -137,7 +137,7 @@ adeg <- adeg %>% # Derive RRR derive_param_rr( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), set_values_to = exprs(PARAMCD = "RRR"), hr_code = "HR", get_unit_expr = tolower(EGSTRESU), @@ -145,7 +145,7 @@ adeg <- adeg %>% ) %>% # Derive QTCBR derive_param_qtc( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), method = "Bazett", set_values_to = exprs(PARAMCD = "QTCBR"), qt_code = "QT", @@ -155,7 +155,7 @@ adeg <- adeg %>% ) %>% # Derive QTCFR derive_param_qtc( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), method = "Fridericia", set_values_to = exprs(PARAMCD = "QTCFR"), qt_code = "QT", @@ -165,7 +165,7 @@ adeg <- adeg %>% ) %>% # Derive QTLCR derive_param_qtc( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), method = "Sagie", set_values_to = exprs(PARAMCD = "QTLCR"), qt_code = "QT", @@ -202,7 +202,7 @@ adeg <- adeg %>% adeg <- adeg %>% derive_summary_records( dataset_add = adeg, - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT)), filter_add = dplyr::n() >= 2 & PARAMCD != "EGINTP", set_values_to = exprs( AVAL = mean(AVAL, na.rm = TRUE), @@ -245,7 +245,7 @@ adeg <- adeg %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD)), order = exprs(ADT, VISITNUM, EGSEQ), new_var = ABLFL, mode = "last" @@ -260,19 +260,19 @@ adeg <- adeg %>% adeg <- adeg %>% # Calculate BASE derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = AVAL, new_var = BASE ) %>% # Calculate BASEC derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = AVALC, new_var = BASEC ) %>% # Calculate BNRIND derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = ANRIND, new_var = BNRIND ) %>% @@ -286,7 +286,7 @@ adeg <- adeg %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVISIT, ATPT, DTYPE)), order = exprs(ADT, AVAL), new_var = ANL01FL, mode = "last" diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index b512190a03..25e2ebff10 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -159,7 +159,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars) + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars) ) %>% # W2-W24 exposure call_derivation( @@ -208,7 +208,7 @@ adex <- adex %>% ), dataset_add = adex, filter_add = VISIT %in% c("WEEK 2", "WEEK 24"), - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars) + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars) ) %>% # Overall Dose intensity and W2-24 dose intensity call_derivation( @@ -225,9 +225,9 @@ adex <- adex %>% tpadm_code = "PPDOSE" ) ), - by_vars = exprs( - !!!get_admiral_option("subject_keys"), !!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT - ) + by_vars = c( + get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT + )) ) %>% # Overall/W2-24 Average daily dose call_derivation( @@ -248,9 +248,9 @@ adex <- adex %>% ) ) ), - by_vars = exprs( - !!!get_admiral_option("subject_keys"), !!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT - ) + by_vars = c( + get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT + )) ) # Part 4: Derive/Assign the last required variables ---- diff --git a/inst/templates/ad_adlb.R b/inst/templates/ad_adlb.R index 236fd8ddbd..f2974894f0 100644 --- a/inst/templates/ad_adlb.R +++ b/inst/templates/ad_adlb.R @@ -131,7 +131,7 @@ adlb <- adlb %>% adlb <- adlb %>% # Derive absolute Basophils derive_param_wbc_abs( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY)), set_values_to = exprs( PARAMCD = "BASO", PARAM = "Basophils Abs (10^9/L)", @@ -144,7 +144,7 @@ adlb <- adlb %>% ) %>% # Derive absolute Lymphocytes derive_param_wbc_abs( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY)), set_values_to = exprs( PARAMCD = "LYMPH", PARAM = "Lymphocytes Abs (10^9/L)", @@ -196,7 +196,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD)), order = exprs(ADT, VISITNUM, LBSEQ), new_var = ABLFL, mode = "last" @@ -208,19 +208,19 @@ adlb <- adlb %>% adlb <- adlb %>% # Calculate BASE derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = AVAL, new_var = BASE ) %>% # Calculate BASEC derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = AVALC, new_var = BASEC ) %>% # Calculate BNRIND derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = ANRIND, new_var = BNRIND ) %>% @@ -294,19 +294,19 @@ adlb <- adlb %>% derive_var_atoxgr() %>% # Derive baseline toxicity grade for low values BTOXGRL derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = ATOXGRL, new_var = BTOXGRL ) %>% # Derive baseline toxicity grade for high values BTOXGRH derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = ATOXGRH, new_var = BTOXGRH ) %>% # Derive baseline toxicity grade for for overall grade BTOXGR derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = ATOXGR, new_var = BTOXGR ) @@ -353,7 +353,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVISIT)), order = exprs(ADT, AVAL), new_var = ANL01FL, mode = "last" @@ -363,7 +363,7 @@ adlb <- adlb %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADT, AVAL), new_var = LVOTFL, mode = "last" @@ -386,7 +386,7 @@ adlb <- adlb %>% # get MINIMUM value derive_extreme_records( dataset_add = adlb, - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), order = exprs(AVAL, ADT, AVISITN), mode = "first", filter_add = (!is.na(AVAL) & ONTRTFL == "Y"), @@ -399,7 +399,7 @@ adlb <- adlb %>% # get MAXIMUM value derive_extreme_records( dataset_add = adlb, - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), order = exprs(desc(AVAL), ADT, AVISITN), mode = "first", filter_add = (!is.na(AVAL) & ONTRTFL == "Y"), @@ -412,7 +412,7 @@ adlb <- adlb %>% # get LOV value derive_extreme_records( dataset_add = adlb, - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), order = exprs(ADT, AVISITN), mode = "last", filter_add = (ONTRTFL == "Y"), diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index 2586474731..d5296df361 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -32,7 +32,7 @@ adlb_annotated <- adlb %>% ., derivation = derive_var_merged_exist_flag, dataset_add = ., - by_vars = get_admiral_option("subject_keys"), LBSEQ, PARAMCD, ADT), + by_vars = c(get_admiral_option("subject_keys"), exprs(LBSEQ, PARAMCD, ADT)), variable_params = list( params( new_var = CRIT1FL, @@ -79,7 +79,7 @@ hylaw_params <- derive_param_exist_flag( condition = CRIT1FL == "Y" & BILI_CRITFL == "Y", false_value = "N", missing_value = "N", - by_vars = get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit + by_vars = c(get_admiral_option("subject_keys"), exprs(TRT01A)), # add AVISIT, ADT for by visit set_values_to = exprs( PARAMCD = "HYSLAW", PARAM = "ALT/AST >= 3xULN and BILI >= 2xULN" diff --git a/inst/templates/ad_admh.R b/inst/templates/ad_admh.R index 9e11158d80..e8e22d402c 100644 --- a/inst/templates/ad_admh.R +++ b/inst/templates/ad_admh.R @@ -88,13 +88,13 @@ admh <- mh %>% mode = "first" ) %>% derive_var_extreme_flag( - by_vars = get_admiral_option("subject_keys"), MHBODSYS), + by_vars = c(get_admiral_option("subject_keys"), exprs(MHBODSYS)), order = get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCCSFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = get_admiral_option("subject_keys"), MHDECOD), + by_vars = c(get_admiral_option("subject_keys"), exprs(MHDECOD)), order = get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCCPFL, mode = "first" @@ -107,13 +107,13 @@ admh <- mh %>% mode = "first" ) %>% derive_var_extreme_flag( - by_vars = get_admiral_option("subject_keys"), MHBODSYS), + by_vars = c(get_admiral_option("subject_keys"), exprs(MHBODSYS)), order = get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, ASTDT, MHSEQ), new_var = AOCPSFL, mode = "first" ) %>% derive_var_extreme_flag( - by_vars = get_admiral_option("subject_keys"), MHDECOD), + by_vars = c(get_admiral_option("subject_keys"), exprs(MHDECOD)), order = get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), new_var = AOCPPFL, mode = "first" diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index 20d7845c4c..9212db81cc 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -151,12 +151,12 @@ ex_exp <- ex_dates %>% nominal_time = NFRLT, lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, - keep_source_vars = exprs( - !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, + keep_source_vars = c( + get_admiral_option("subject_keys"), exprs(EVID, EXDOSFRQ, EXDOSFRM, NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars - ) + )) ) %>% # Derive AVISIT based on nominal relative time # Derive AVISITN to nominal time in whole days using integer division @@ -185,8 +185,8 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = get_admiral_option("subject_keys"), DRUG) - ) %>% + by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG) + )) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time # Derive AVISITN to nominal time in whole days using integer division @@ -448,7 +448,7 @@ adpc_dtype <- bind_rows(adpc_aval, dtype) %>% adpc_base <- adpc_dtype %>% derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARCAT1, BASETYPE)), source_var = AVAL, new_var = BASE, filter = ABLFL == "Y" diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index 2e21b7a225..b9a80cf101 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -128,12 +128,12 @@ ex_exp <- ex_dates %>% nominal_time = NFRLT, lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, - keep_source_vars = exprs( - !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, + keep_source_vars = c( + get_admiral_option("subject_keys"), exprs(EVID, EXDOSFRQ, EXDOSFRM, NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars - ) + )) ) %>% # Derive AVISIT based on nominal relative time # Derive AVISITN to nominal time in whole days using integer division @@ -161,7 +161,7 @@ adppk_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM, EXDOSE_first = EXDOSE), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = get_admiral_option("subject_keys"), DRUG) + by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index 8f751dea6d..1762b247e2 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -110,14 +110,14 @@ advs <- advs %>% # Derive Mean Arterial Pressure derive_param_map( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) ) %>% # Derive Body Surface Area derive_param_bsa( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, @@ -126,7 +126,7 @@ advs <- advs %>% ) %>% # Derive Body Mass Index derive_param_bmi( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), @@ -158,7 +158,7 @@ advs <- advs %>% advs <- advs %>% derive_summary_records( dataset_add = advs, - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT, ADY), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT, ADY)), filter_add = !is.na(AVAL), set_values_to = exprs( AVAL = mean(AVAL), @@ -197,7 +197,7 @@ advs <- advs %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD)), order = exprs(ADT, VISITNUM, VSSEQ), new_var = ABLFL, mode = "last" @@ -210,7 +210,7 @@ advs <- advs %>% advs <- advs %>% # Calculate BASE derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = AVAL, new_var = BASE ) %>% @@ -224,7 +224,7 @@ advs <- advs %>% # ) %>% # Calculate BNRIND derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = ANRIND, new_var = BNRIND ) %>% @@ -240,7 +240,7 @@ advs <- advs %>% derivation = derive_var_extreme_flag, args = params( new_var = ANL01FL, - by_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVISIT, ATPT, DTYPE)), order = exprs(ADT, AVAL), mode = "last" ), @@ -255,7 +255,7 @@ advs <- advs %>% # Create End of Treatment Record derive_extreme_records( dataset_add = advs, - by_vars = get_admiral_option("subject_keys"), PARAMCD, ATPTN), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ATPTN)), order = exprs(ADT, AVISITN, AVAL), mode = "last", filter_add = (4 < AVISITN & AVISITN <= 13 & ANL01FL == "Y" & is.na(DTYPE)), diff --git a/vignettes/admiral.Rmd b/vignettes/admiral.Rmd index b856f908cb..c446aeebc4 100644 --- a/vignettes/admiral.Rmd +++ b/vignettes/admiral.Rmd @@ -135,7 +135,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), TRTSDTM, TRTSTMF) + display_vars = c(get_admiral_option("subject_keys"), exprs(TRTSDTM, TRTSTMF)) ) ``` @@ -151,7 +151,7 @@ the variable values for the new derived record. ```{r eval=TRUE} advs <- advs %>% derive_param_computed( - by_vars = get_admiral_option("subject_keys"), AVISIT, AVISITN), + by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT, AVISITN)), parameters = c("SYSBP", "DIABP"), set_values_to = exprs( AVAL = (AVAL.SYSBP + 2 * AVAL.DIABP) / 3, @@ -166,7 +166,7 @@ advs <- advs %>% advs %>% arrange(!!!get_admiral_option("subject_keys"), AVISITN, PARAMCD) %>% dataset_vignette( - display_vars = get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) + display_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT, PARAMCD, AVAL)) ) ``` @@ -217,7 +217,7 @@ adsl <- dm %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), FINLABDT) + display_vars = c(get_admiral_option("subject_keys"), exprs(FINLABDT)) ) ``` @@ -233,7 +233,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), RFSTDTC, RFSTDT) + display_vars = c(get_admiral_option("subject_keys"), exprs(RFSTDTC, RFSTDT)) ) ``` @@ -259,7 +259,7 @@ advs_lastmap <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs_lastmap, - display_vars = get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) + display_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT, PARAMCD, AVAL)) ) ``` diff --git a/vignettes/adsl.Rmd b/vignettes/adsl.Rmd index fe77af129e..eab11b8637 100644 --- a/vignettes/adsl.Rmd +++ b/vignettes/adsl.Rmd @@ -88,7 +88,7 @@ adsl <- dm %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), RFSTDTC, COUNTRY, AGE, SEX, RACE, ETHNIC, ARM, ACTARM) + display_vars = c(get_admiral_option("subject_keys"), exprs(RFSTDTC, COUNTRY, AGE, SEX, RACE, ETHNIC, ARM, ACTARM)) ) ``` @@ -186,7 +186,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), RFSTDTC, TRTSDTM, TRTSDT, TRTEDTM, TRTEDT, TRTDURD) + display_vars = c(get_admiral_option("subject_keys"), exprs(RFSTDTC, TRTSDTM, TRTSDT, TRTEDTM, TRTEDT, TRTDURD)) ) ``` @@ -225,14 +225,14 @@ The `ds_ext` dataset: ```{r, eval=TRUE, echo=FALSE} dataset_vignette( ds_ext, - display_vars = get_admiral_option("subject_keys"), DSCAT, DSDECOD, DSTERM, DSSTDT, DSSTDTC), + display_vars = c(get_admiral_option("subject_keys"), exprs(DSCAT, DSDECOD, DSTERM, DSSTDT, DSSTDTC)), filter = DSDECOD != "SCREEN FAILURE" ) ``` The `adsl` dataset: ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), EOSDT)) +dataset_vignette(adsl, display_vars = c(get_admiral_option("subject_keys"), exprs(EOSDT))) ``` The `derive_vars_dt()` function allows to impute partial dates as well. If @@ -280,7 +280,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), EOSDT, EOSSTT)) +dataset_vignette(adsl, display_vars = c(get_admiral_option("subject_keys"), exprs(EOSDT, EOSSTT))) ``` This call would return the input dataset with the column `EOSSTT` added. @@ -313,7 +313,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), EOSDT, EOSSTT, DCSREAS, DCSREASP)) +dataset_vignette(adsl, display_vars = c(get_admiral_option("subject_keys"), exprs(EOSDT, EOSSTT, DCSREAS, DCSREASP))) ``` This call would return the input dataset with the column `DCSREAS` and `DCSREASP` added. @@ -347,7 +347,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), EOSDT, EOSSTT, DCSREAS, DCSREASP)) +dataset_vignette(adsl, display_vars = c(get_admiral_option("subject_keys"), exprs(EOSDT, EOSSTT, DCSREAS, DCSREASP))) ``` ### Randomization Date (`RANDDT`) {#randomization_date} @@ -369,7 +369,7 @@ adsl <- adsl %>% This call would return the input dataset with the column `RANDDT` is added. ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl, display_vars = get_admiral_option("subject_keys"), RANDDT)) +dataset_vignette(adsl, display_vars = c(get_admiral_option("subject_keys"), exprs(RANDDT))) ``` ## Derive Death Variables {#death} @@ -390,7 +390,7 @@ adsl <- adsl %>% ``` ```{r, eval=TRUE, echo=FALSE} -dataset_vignette(adsl %>% filter(!is.na(DTHDT) | row_number() %% 50 == 0), display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHFL)) +dataset_vignette(adsl %>% filter(!is.na(DTHDT) | row_number() %% 50 == 0), display_vars = c(get_admiral_option("subject_keys"), exprs(TRTEDT, DTHDTC, DTHDT, DTHFL))) ``` This call would return the input dataset with the columns `DTHDT` added and, by @@ -455,7 +455,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), EOSDT, DTHDTC, DTHDT, DTHCAUS), + display_vars = c(get_admiral_option("subject_keys"), exprs(EOSDT, DTHDTC, DTHDT, DTHCAUS)), filter = DTHFL == "Y" ) ``` @@ -492,7 +492,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHDOM, DTHSEQ), + display_vars = c(get_admiral_option("subject_keys"), exprs(TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHDOM, DTHSEQ)), filter = DTHFL == "Y" ) ``` @@ -540,7 +540,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHADY, LDDTHELD), + display_vars = c(get_admiral_option("subject_keys"), exprs(TRTEDT, DTHDTC, DTHDT, DTHCAUS, DTHADY, LDDTHELD)), filter = DTHFL == "Y" ) ``` @@ -602,7 +602,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, LSTALVDT), + display_vars = c(get_admiral_option("subject_keys"), exprs(TRTEDT, DTHDTC, LSTALVDT)), filter = !is.na(TRTSDT) ) ``` @@ -665,7 +665,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), TRTEDT, DTHDTC, LSTALVDT, LALVDOM, LALVSEQ, LALVVAR), + display_vars = c(get_admiral_option("subject_keys"), exprs(TRTEDT, DTHDTC, LSTALVDT, LALVDOM, LALVSEQ, LALVVAR)), filter = !is.na(TRTSDT) ) ``` @@ -718,7 +718,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), AGE, SEX, COUNTRY, AGEGR1, REGION1) + display_vars = c(get_admiral_option("subject_keys"), exprs(AGE, SEX, COUNTRY, AGEGR1, REGION1)) ) ``` @@ -742,7 +742,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), TRTSDT, ARM, ACTARM, SAFFL) + display_vars = c(get_admiral_option("subject_keys"), exprs(TRTSDT, ARM, ACTARM, SAFFL)) ) ``` diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index b40a66d128..cd0b61f8d2 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -89,11 +89,11 @@ adex <- derive_vars_merged( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), EXTRT, EXDOSE, EXDOSFRQ, + display_vars = c( + get_admiral_option("subject_keys"), exprs(EXTRT, EXDOSE, EXDOSFRQ, VISIT, EXSTDTC, EXENDTC, TRTSDTM, TRTEDTM - ) + )) ) ``` @@ -136,7 +136,7 @@ adex <- derive_vars_dt(adex, new_vars_prefix = "AEN", dtc = EXENDTC) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, ASTDT, AENDT) + display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, EXSTDTC, EXENDTC, ASTDT, AENDT)) ) ``` @@ -163,7 +163,7 @@ adex <- derive_vars_dtm( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, ASTDTM, AENDTM) + display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, EXSTDTC, EXENDTC, ASTDTM, AENDTM)) ) ``` @@ -187,10 +187,10 @@ adex <- ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), - VISIT, ASTDT, ASTDY, AENDT, AENDY, TRTSDT - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(VISIT, ASTDT, ASTDY, AENDT, AENDY, TRTSDT + )) ) ``` @@ -212,10 +212,10 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), - VISIT, ASTDT, ASTDY, AENDT, AENDY, EXDURD - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(VISIT, ASTDT, ASTDY, AENDT, AENDY, EXDURD + )) ) ``` @@ -235,10 +235,10 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), - VISIT, ASTDT, AENDT, EXDURD, EXDURDY - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(VISIT, ASTDT, AENDT, EXDURD, EXDURDY + )) ) ``` @@ -260,7 +260,7 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDURD, DOSEO, PDOSEO) + display_vars = c(get_admiral_option("subject_keys"), exprs(EXDOSE, EXPLDOS, EXDURD, DOSEO, PDOSEO)) ) ``` @@ -277,13 +277,14 @@ frequency to a corresponding set of records each representing one dose (i.e. ```{r eval=TRUE, echo=TRUE} single_dose <- adex %>% filter(USUBJID == "01-701-1015" & EXSTDY == 1) %>% - create_single_dose_dataset(keep_source_vars = get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) + create_single_dose_dataset(keep_source_vars = c(get_admiral_option("subject_keys"), exprs(EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) + ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( single_dose, - display_vars = get_admiral_option("subject_keys"), EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT) + display_vars = c(get_admiral_option("subject_keys"), exprs(EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) ) ``` @@ -346,7 +347,7 @@ count(adex, PARAMCD) ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, VISIT, desc(PARAMCD), EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = get_admiral_option("subject_keys"), VISIT, ASTDT, AENDT, PARAMCD, AVAL, AVALC)) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, ASTDT, AENDT, PARAMCD, AVAL, AVALC))) ``` ## Create Summary Records {#summaryrec} @@ -362,7 +363,7 @@ For example, to calculate the total dose by subject and treatment, adex <- derive_param_exposure( adex, dataset_add = adex, - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)), input_code = "DOSE", set_values_to = exprs( PARAMCD = "TDOSE", @@ -375,10 +376,10 @@ adex <- derive_param_exposure( ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, PARAMCD, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = exprs( - !!!get_admiral_option("subject_keys"), VISIT, + dataset_vignette(display_vars = + c(get_admiral_option("subject_keys"), exprs(VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, AENDT - )) + ))) ``` @@ -442,8 +443,8 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars) - ) + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars) + )) count(adex, PARAMCD, PARCAT1) ``` @@ -452,10 +453,11 @@ count(adex, PARAMCD, PARCAT1) ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, PARAMCD, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = exprs( - !!!get_admiral_option("subject_keys"), VISIT, + dataset_vignette(display_vars = c( + get_admiral_option("subject_keys"), exprs(VISIT, PARCAT1, PARAMCD, AVAL, AVALC, ASTDT, AENDT - )) + )) + ) ``` Dose intensity can be calculated using the function `derive_param_doseint()`. The @@ -466,7 +468,7 @@ specified in the `by_vars` argument will be populated in this new record. ```{r eval=TRUE, echo=TRUE} adex <- adex %>% derive_param_doseint( - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)), set_values_to = exprs(PARAMCD = "TNDOSINT"), tadm_code = "TDOSE", tpadm_code = "TPDOSE" @@ -477,10 +479,10 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), VISIT, EXSTDTC, EXENDTC, + display_vars = c( + get_admiral_option("subject_keys"), exprs(VISIT, EXSTDTC, EXENDTC, PARCAT1, PARAMCD, AVAL, ASTDT, AENDT - ) + )) ) ``` @@ -567,7 +569,7 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, AVALCAT1, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, AVALCAT1)) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, PARCAT1, PARAMCD, AVAL, AVALCAT1))) ``` ## Assign `ASEQ` {#aseq} @@ -588,7 +590,7 @@ adex <- derive_var_obs_number( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = get_admiral_option("subject_keys"), VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, ASEQ) + display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, ASEQ)) ) ``` diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index 7a975fae82..f36f0d932a 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -93,7 +93,7 @@ advs <- derive_vars_merged( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), VSTESTCD, VSDTC, VISIT, TRTSDT, TRTEDT, TRT01A, TRT01P), + display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VSDTC, VISIT, TRTSDT, TRTEDT, TRT01A, TRT01P)), filter = VSTESTCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -113,7 +113,7 @@ advs <- derive_vars_dt(advs, new_vars_prefix = "A", dtc = VSDTC) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), VISIT, VSDTC, ADT), + display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, VSDTC, ADT)), filter = VSTESTCD == "DIABP" ) ``` @@ -147,7 +147,7 @@ advs <- derive_vars_dt( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), VISIT, VSDTC, ADT, ADTF), + display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, VSDTC, ADT, ADTF)), filter = USUBJID == "01-716-1024" ) ``` @@ -188,7 +188,7 @@ advs <- ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), VISIT, ADT, ADY, TRTSDT), + display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, ADT, ADY, TRTSDT)), filter = USUBJID == "01-716-1024" ) ``` @@ -293,7 +293,7 @@ Example 3 in section below [Derive New Rows](#additional) for alternative way of ```{r eval=TRUE} advs <- derive_param_map( advs, - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) @@ -314,7 +314,7 @@ Likewise, function call below, to create parameter `Body Surface Area` (BSA) and ```{r eval=TRUE} advs <- derive_param_bsa( advs, - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, @@ -324,7 +324,7 @@ advs <- derive_param_bsa( advs <- derive_param_bmi( advs, - by_vars = get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), @@ -335,7 +335,7 @@ advs <- derive_param_bmi( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs, USUBJID, VISITNUM, VSTPTNUM, ADT, PARAMCD), - display_vars = get_admiral_option("subject_keys"), VSTESTCD, PARAMCD, VISIT, VSTPT, AVAL), + display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, PARAMCD, VISIT, VSTPT, AVAL)), filter = PARAMCD %in% c("BSA", "BMI") ) ``` @@ -354,7 +354,7 @@ adeg <- tibble::tribble( adeg <- derive_param_qtc( adeg, - by_vars = get_admiral_option("subject_keys"), VISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(VISIT)), method = "Fridericia", set_values_to = exprs(PARAMCD = "QTCFR"), get_unit_expr = EGSTRESU @@ -375,7 +375,7 @@ adlb <- tibble::tribble( derive_param_wbc_abs( dataset = adlb, - by_vars = get_admiral_option("subject_keys"), VISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(VISIT)), set_values_to = exprs( PARAMCD = "LYMPH", PARAM = "Lymphocytes Abs (10^9/L)", @@ -615,7 +615,7 @@ advs <- restrict_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD)), order = exprs(ADT, ATPTN, VISITNUM), new_var = ABLFL, mode = "last" @@ -627,7 +627,7 @@ advs <- restrict_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ADT, TRTSDT, ATPTN, TRTSDT, ABLFL), + display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD, ADT, TRTSDT, ATPTN, TRTSDT, ABLFL)), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "BASELINE") ) ``` @@ -641,14 +641,14 @@ Lastly, the `BASE`, and `BNRIND` columns can be derived using the `{admiral}` f ```{r eval=TRUE} advs <- derive_var_base( advs, - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = AVAL, new_var = BASE ) advs <- derive_var_base( advs, - by_vars = get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), source_var = ANRIND, new_var = BNRIND ) @@ -657,7 +657,7 @@ advs <- derive_var_base( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ABLFL, BASE, ANRIND, BNRIND), + display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD, ABLFL, BASE, ANRIND, BNRIND)), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "BASELINE") ) ``` @@ -678,7 +678,7 @@ advs <- derive_var_pchg(advs) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), VISIT, BASE, AVAL, CHG, PCHG), + display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, BASE, AVAL, CHG, PCHG)), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -728,7 +728,7 @@ advs <- derive_var_analysis_ratio(advs, ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), VISIT, BASE, AVAL, ANRLO, R2BASE, R01ANRLO), + display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, BASE, AVAL, ANRLO, R2BASE, R01ANRLO)), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -754,7 +754,7 @@ advs <- restrict_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD, AVISIT)), order = exprs(ADT, ATPTN, AVAL), new_var = ANL01FL, mode = "last" @@ -766,7 +766,7 @@ advs <- restrict_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPTN, ADT, AVAL, ANL01FL), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVISIT, ATPTN, ADT, AVAL, ANL01FL)), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -781,7 +781,7 @@ advs <- slice_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD, AVISIT)), order = exprs(ADT, ATPTN), new_var = WORSTFL, mode = "first" @@ -801,7 +801,7 @@ advs <- slice_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = get_admiral_option("subject_keys"), PARAMCD, AVISIT, AVAL, ADT, ATPTN, WORSTFL), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVISIT, AVAL, ADT, ATPTN, WORSTFL)), filter = USUBJID == "01-701-1015" & WORSTFL == "Y" ) ``` @@ -924,7 +924,7 @@ assign a unique `AVISITN` value. advs_ex1 <- advs %>% derive_extreme_records( dataset_add = advs, - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADT, AVISITN, ATPTN, AVAL), mode = "last", filter_add = (4 < AVISITN & AVISITN <= 12 & ANL01FL == "Y"), @@ -954,7 +954,7 @@ and assign a unique `AVISITN` value. advs_ex1 <- advs %>% derive_extreme_records( dataset_add = advs, - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(AVAL, ADT, AVISITN, ATPTN), mode = "first", filter_add = (4 < AVISITN & AVISITN <= 12 & ANL01FL == "Y" & !is.na(AVAL)), @@ -988,7 +988,7 @@ Set `DTYPE` to `AVERAGE`. advs_ex2 <- derive_summary_records( advs, dataset_add = advs, - by_vars = get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, VISITNUM, ADT)), set_values_to = exprs( AVAL = mean(AVAL, na.rm = TRUE), DTYPE = "AVERAGE" @@ -999,7 +999,7 @@ advs_ex2 <- derive_summary_records( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex2, USUBJID, PARAMCD, VISITNUM, ADT, DTYPE), - display_vars = get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT, AVAL, DTYPE), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, VISITNUM, ADT, AVAL, DTYPE)), filter = USUBJID == "01-701-1015" ) ``` @@ -1016,7 +1016,7 @@ Below is an example of creating `Mean Arterial Pressure` ```{r eval=TRUE} advs_ex3 <- derive_param_computed( advs, - by_vars = get_admiral_option("subject_keys"), VISIT, ATPT), + by_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, ATPT)), parameters = c("SYSBP", "DIABP"), set_values_to = exprs( AVAL = (AVAL.SYSBP - AVAL.DIABP) / 3 + AVAL.DIABP, @@ -1029,7 +1029,7 @@ advs_ex3 <- derive_param_computed( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex3, !!!get_admiral_option("subject_keys"), VISIT, ATPT, PARAMCD), - display_vars = get_admiral_option("subject_keys"), PARAMCD, VISIT, ATPT, AVAL), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, VISIT, ATPT, AVAL)), filter = USUBJID == "01-701-1015" & PARAMCD %in% c("MAP2", "SYSBP", "DIABP") ) ``` diff --git a/vignettes/bds_tte.Rmd b/vignettes/bds_tte.Rmd index 326708f311..858ac82012 100644 --- a/vignettes/bds_tte.Rmd +++ b/vignettes/bds_tte.Rmd @@ -148,7 +148,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, CNSR) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, STARTDT, ADT, CNSR)) ) ``` @@ -190,7 +190,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, CNSR) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, STARTDT, ADT, CNSR)) ) ``` @@ -239,7 +239,7 @@ adtte <- derive_param_tte( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = get_admiral_option("subject_keys"), EVNTDESC, SRCDOM, SRCVAR, CNSR, ADT) + display_vars = c(get_admiral_option("subject_keys"), exprs(EVNTDESC, SRCDOM, SRCVAR, CNSR, ADT)) ) # save adtte and adsl for next section adtte_bak <- adtte @@ -282,7 +282,7 @@ adsl <- tibble::tribble( dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), DTHFL, DTHDT, TRTSDT, TRTSDTF) + display_vars = c(get_admiral_option("subject_keys"), exprs(DTHFL, DTHDT, TRTSDT, TRTSDTF)) ) ``` @@ -306,10 +306,11 @@ adrs <- tibble::tribble( PARAM = "Overall Response" ) %>% select(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADT, ASEQ, AVALC) + dataset_vignette( adrs, - display_vars = get_admiral_option("subject_keys"), AVALC, ADT, ASEQ, PARAMCD, PARAM) + display_vars = c(get_admiral_option("subject_keys"), exprs(AVALC, ADT, ASEQ, PARAMCD, PARAM)) ) ``` @@ -409,8 +410,9 @@ dataset_vignette( select( !!!get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, ADTF, CNSR, EVNTDESC, SRCDOM, SRCVAR - ), - display_vars = get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, ADTF, CNSR) + ) + , + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, STARTDT, ADT, ADTF, CNSR)) ) ``` @@ -505,7 +507,10 @@ adaette <- call_derivation( adaette %>% select(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% arrange(!!!get_admiral_option("subject_keys"), PARAMCD) %>% - dataset_vignette(display_vars = get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) + + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) + ) + ) ``` ### Deriving Time-to-Event Parameters Using By Groups @@ -605,7 +610,7 @@ dataset_vignette( !!!get_admiral_option("subject_keys"), STARTDT, PARAMCD, PARAM, PARCAT1, PARCAT2, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR, SRCSEQ ), - display_vars = get_admiral_option("subject_keys"), STARTDT, PARAMCD, PARAM, ADT, CNSR, SRCSEQ) + display_vars = c(get_admiral_option("subject_keys"), exprs(STARTDT, PARAMCD, PARAM, ADT, CNSR, SRCSEQ)) ) ``` @@ -669,7 +674,7 @@ adtte <- derive_vars_merged( ```{r, echo=FALSE} dataset_vignette( adtte, - display_vars = get_admiral_option("subject_keys"), PARAMCD, CNSR, AVAL, ARMCD, AGE, SEX) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, CNSR, AVAL, ARMCD, AGE, SEX)) ) ``` diff --git a/vignettes/higher_order.Rmd b/vignettes/higher_order.Rmd index 415b9421f8..af0dd40c39 100644 --- a/vignettes/higher_order.Rmd +++ b/vignettes/higher_order.Rmd @@ -87,13 +87,13 @@ Here is an example of how to achieve this **without** using `call_derivation()`: ```{r} vs_without <- vs %>% derive_var_extreme_flag( - by_vars = get_admiral_option("subject_keys"), VSTESTCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD)), order = exprs(VSORRES, VSSEQ), new_var = AHIFL, mode = "last" ) %>% derive_var_extreme_flag( - by_vars = get_admiral_option("subject_keys"), VSTESTCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD)), order = exprs(VSORRES, VSSEQ), new_var = ALOFL, mode = "first" @@ -104,7 +104,7 @@ vs_without <- vs %>% vs_without %>% arrange(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDY, VSSEQ) %>% dataset_vignette( - display_vars = get_admiral_option("subject_keys"), VSTESTCD, VSORRES, ALOFL, AHIFL), + display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VSORRES, ALOFL, AHIFL)), filter = VSTESTCD %in% c("TEMP", "WEIGHT") ) ``` @@ -120,7 +120,7 @@ vs_with <- vs %>% params(new_var = AHIFL, mode = "last"), params(new_var = ALOFL, mode = "first") ), - by_vars = get_admiral_option("subject_keys"), VSTESTCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD)), order = exprs(VSORRES, VSSEQ) ) ``` @@ -129,7 +129,7 @@ vs_with <- vs %>% vs_with %>% arrange(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDY, VSSEQ) %>% dataset_vignette( - display_vars = get_admiral_option("subject_keys"), VSTESTCD, VSORRES, ALOFL, AHIFL), + display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VSORRES, ALOFL, AHIFL)), filter = VSTESTCD %in% c("TEMP", "WEIGHT") ) ``` @@ -176,7 +176,7 @@ adaette <- call_derivation( adaette %>% select(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% arrange(!!!get_admiral_option("subject_keys"), PARAMCD) %>% - dataset_vignette(display_vars = get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR)) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR))) ``` Developing your ADaM scripts this way using `call_derivation()` could give the @@ -221,7 +221,7 @@ ae <- ae %>% ae %>% arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ, desc(TEMP_AESEVN)) %>% dataset_vignette( - display_vars = get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEVFL) + display_vars = c(get_admiral_option("subject_keys"), exprs(AEDECOD, AESTDY, AESEQ, AESEV, AHSEVFL)) ) ``` @@ -264,7 +264,7 @@ ae <- ae %>% ae %>% arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ, desc(TEMP_AESEVN)) %>% dataset_vignette( - display_vars = get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEV2FL) + display_vars = c(get_admiral_option("subject_keys"), exprs(AEDECOD, AESTDY, AESEQ, AESEV, AHSEV2FL)) ) ``` @@ -307,7 +307,7 @@ ae <- ae %>% ae %>% arrange(!!!get_admiral_option("subject_keys"), AESTDY, AESEQ) %>% dataset_vignette( - display_vars = get_admiral_option("subject_keys"), AEDECOD, AESTDY, AESEQ, AESEV, AHSEV3FL) + display_vars = c(get_admiral_option("subject_keys"), exprs(AEDECOD, AESTDY, AESEQ, AESEV, AHSEV3FL)) ) ``` diff --git a/vignettes/hys_law.Rmd b/vignettes/hys_law.Rmd index 0a6ac30a8b..333bf59196 100644 --- a/vignettes/hys_law.Rmd +++ b/vignettes/hys_law.Rmd @@ -154,7 +154,7 @@ hylaw_params <- derive_param_exist_flag( condition = CRIT1FL == "Y" & BILI_CRITFL == "Y", false_value = "N", missing_value = "N", - by_vars = get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit + by_vars = c(get_admiral_option("subject_keys"), exprs(TRT01A)), # add AVISIT, ADT for by visit set_values_to = exprs( PARAMCD = "HYSLAW", PARAM = "ALT/AST >= 3xULN and BILI >= 2xULN", diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index 45306ba723..ef645c5666 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -86,9 +86,9 @@ adae <- derive_vars_merged( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), AESEQ, AETERM, AESTDTC, TRTSDT, + display_vars = c(get_admiral_option("subject_keys"), exprs(AESEQ, AETERM, AESTDTC, TRTSDT, TRTEDT, TRT01A, TRT01P, DTHDT, EOSDT + ) ) ) ``` @@ -127,9 +127,10 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), AESTDTC, AEENDTC, ASTDTM, ASTDT, - ASTDY, AENDTM, AENDT, AENDY + display_vars = c(get_admiral_option("subject_keys"), + exprs(AESTDTC, AEENDTC, ASTDTM, ASTDT, + ASTDY, AENDTM, AENDT, AENDY + ) ) ) ``` @@ -154,9 +155,10 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), AESTDTC, AEENDTC, ASTDT, AENDT, + display_vars = c(get_admiral_option("subject_keys"), + exprs(AESTDTC, AEENDTC, ASTDT, AENDT, ADURN, ADURU + ) ) ) ``` @@ -253,9 +255,10 @@ adae <- derive_vars_joined( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), AEDECOD, AESEQ, AESTDTC, AEENDTC, + display_vars = c(get_admiral_option("subject_keys"), + exprs(AEDECOD, AESEQ, AESTDTC, AEENDTC, ASTDT, AENDT, LDOSEDTM + ) ) ) ``` @@ -291,9 +294,10 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), TRTSDT, TRTEDT, AESTDTC, ASTDT, + display_vars = c(get_admiral_option("subject_keys"), + exprs(TRTSDT, TRTEDT, AESTDTC, ASTDT, TRTEMFL + ) ) ) ``` @@ -405,8 +409,9 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), ASTDTM, ASEV, AESEQ, TRTEMFL, AOCCIFL + display_vars = c(get_admiral_option("subject_keys"), + exprs(ASTDTM, ASEV, AESEQ, TRTEMFL, AOCCIFL + ) ) ) ``` @@ -492,10 +497,10 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), AEDECOD, ASTDTM, DTHDT, RFSTDTC, + display_vars = c( + get_admiral_option("subject_keys"), exprs(AEDECOD, ASTDTM, DTHDT, RFSTDTC, RFENDTC, AGE, AGEU, SEX - ) + )) ) ``` diff --git a/vignettes/pk_adnca.Rmd b/vignettes/pk_adnca.Rmd index 4a96ff6caa..5b293bfa22 100644 --- a/vignettes/pk_adnca.Rmd +++ b/vignettes/pk_adnca.Rmd @@ -199,8 +199,9 @@ pc_dates <- pc %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( pc_dates, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), PCTEST, ADTM, VISIT, PCTPT, NFRLT + display_vars = c(get_admiral_option("subject_keys"), + exprs(PCTEST, ADTM, VISIT, PCTPT, NFRLT + ) ) ) ``` @@ -258,8 +259,9 @@ ex_dates <- ex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( ex_dates, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), EXTRT, EXDOSFRQ, ASTDTM, AENDTM, VISIT, VISITDY, NFRLT + display_vars = c(get_admiral_option("subject_keys"), + exprs(EXTRT, EXDOSFRQ, ASTDTM, AENDTM, + VISIT,VISITDY, NFRLT) ) ) ``` @@ -297,11 +299,11 @@ ex_exp <- ex_dates %>% nominal_time = NFRLT, lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, - keep_source_vars = exprs( - STUDYID, !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, + keep_source_vars = c( + get_admiral_option("subject_keys"), exprs(EVID, EXDOSFRQ, EXDOSFRM, NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars - ) + )) ) %>% # Derive AVISIT based on nominal relative time # Derive AVISITN to nominal time in whole days using integer division @@ -323,8 +325,9 @@ ex_exp <- ex_dates %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( ex_exp, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), DRUG, EXDOSFRQ, ASTDTM, AENDTM, AVISIT, NFRLT + display_vars = c(get_admiral_option("subject_keys"), + exprs(DRUG,EXDOSFRQ, ASTDTM, AENDTM, + AVISIT, NFRLT) ) ) ``` @@ -348,7 +351,7 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = get_admiral_option("subject_keys"), DRUG) + by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG)) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -357,14 +360,16 @@ adpc_first_dose <- pc_dates %>% mutate( AVISITN = NFRLT %/% 24 + 1, AVISIT = paste("Day", AVISITN) - ) + ) + ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_first_dose, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), FANLDTM, AVISIT, ADTM, PCTPT + display_vars = c( + get_admiral_option("subject_keys"), exprs(FANLDTM, AVISIT, ADTM, PCTPT + ) ) ) ``` @@ -401,8 +406,10 @@ adpc_prev <- adpc_first_dose %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_prev, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), VISIT, ADTM, VISIT, PCTPT, ADTM_prev, EXDOSE_prev, AVISIT_prev + display_vars = c(get_admiral_option("subject_keys"), + exprs(VISIT, ADTM, VISIT, PCTPT, + ADTM_prev, EXDOSE_prev, AVISIT_prev + ) ) ) ``` @@ -436,9 +443,9 @@ adpc_next <- adpc_prev %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_next, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), - VISIT, ADTM, VISIT, PCTPT, ADTM_next, EXDOSE_next, AVISIT_next + display_vars = c(get_admiral_option("subject_keys"), + exprs(VISIT, ADTM, VISIT, PCTPT, ADTM_next, EXDOSE_next, + AVISIT_next) ) ) ``` @@ -488,8 +495,9 @@ adpc_nom_next <- adpc_nom_prev %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_nom_next, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), NFRLT, PCTPT, NFRLT_prev, NFRLT_next + display_vars = c(get_admiral_option("subject_keys"), + exprs(NFRLT, PCTPT, NFRLT_prev, NFRLT_next + ) ) ) ``` @@ -582,8 +590,9 @@ adpc_arrlt <- bind_rows(adpc_nom_next, ex_exp) %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_arrlt, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), FANLDTM, AVISIT, PCTPT, AFRLT, ARRLT, AXRLT + display_vars = c(get_admiral_option("subject_keys"), + exprs(FANLDTM, AVISIT, PCTPT, AFRLT, + ARRLT, AXRLT) ) ) ``` @@ -610,8 +619,9 @@ adpc_nrrlt <- adpc_arrlt %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_nrrlt, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), AVISIT, PCTPT, NFRLT, NRRLT, NXRLT + display_vars = c(get_admiral_option("subject_keys"), + exprs(AVISIT, PCTPT, NFRLT, NRRLT, NXRLT + ) ) ) ``` @@ -720,8 +730,9 @@ adpc_aval <- adpc_nrrlt %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_aval, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), NFRLT, AVISIT, ATPT, ABLFL, ATPTREF, AVAL, AVALCAT1 + display_vars = c(get_admiral_option("subject_keys"), + exprs(NFRLT, AVISIT, ATPT, ABLFL, + ATPTREF, AVAL, AVALCAT1) ) ) ``` @@ -774,8 +785,9 @@ dtype <- adpc_aval %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( dtype, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), DTYPE, ATPT, NFRLT, NRRLT, AFRLT, ARRLT, BASETYPE + display_vars = c(get_admiral_option("subject_keys"), + exprs(DTYPE, ATPT, NFRLT, NRRLT, + AFRLT, ARRLT, BASETYPE) ) ) ``` @@ -808,9 +820,11 @@ adpc_dtype <- bind_rows(adpc_aval, dtype) %>% ```{r, eval=TRUE, echo=FALSE} adpc_dtype %>% - dataset_vignette(display_vars = exprs( - !!!get_admiral_option("subject_keys"), BASETYPE, ADTM, ATPT, NFRLT, NRRLT, ARRLT, MRRLT - )) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, ADTM, + ATPT, NFRLT, NRRLT, + ARRLT, MRRLT) + ) + ) ``` ## Calculate Change from Baseline and Assign `ASEQ` {#aseq} @@ -830,7 +844,7 @@ Finally we derive `PARAM` and `PARAMN` from a lookup table. adpc_base <- adpc_dtype %>% # Derive BASE derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARCAT1, BASETYPE)), source_var = AVAL, new_var = BASE, filter = ABLFL == "Y" @@ -862,9 +876,10 @@ adpc_aseq <- adpc_chg %>% ```{r, eval=TRUE, echo=FALSE} adpc_aseq %>% - dataset_vignette(display_vars = exprs( - !!!get_admiral_option("subject_keys"), BASETYPE, DTYPE, AVISIT, ATPT, AVAL, NFRLT, NRRLT, AFRLT, ARRLT, BASE, CHG - )) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, DTYPE, AVISIT, ATPT, AVAL, NFRLT, NRRLT, AFRLT, ARRLT, BASE, CHG + ) + ) +) ``` ## Add Additional Baseline Variables {#baselines} @@ -898,9 +913,9 @@ adpc_baselines <- adpc_aseq %>% ```{r, eval=TRUE, echo=FALSE} adpc_baselines %>% - dataset_vignette(display_vars = exprs( - !!!get_admiral_option("subject_keys"), HTBL, HTBLU, WTBL, WTBLU, BMIBL, BMIBLU, BASETYPE, ATPT, AVAL - )) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(HTBL, HTBLU, WTBL, WTBLU, BMIBL, BMIBLU, BASETYPE, ATPT, AVAL) + ) +) ``` ## Add the `ADSL` variables {#adsl_vars} @@ -991,7 +1006,7 @@ adppk_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM, EXDOSE_first = EXDOSE), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = get_admiral_option("subject_keys"), DRUG) + by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG)) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -1006,8 +1021,9 @@ adppk_first_dose <- pc_dates %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_first_dose, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), FANLDTM, AVISIT, ADTM, PCTPT + display_vars = c(get_admiral_option("subject_keys"), + exprs(FANLDTM, AVISIT, ADTM, PCTPT + ) ) ) ``` @@ -1059,8 +1075,10 @@ adppk_nom_prev <- adppk_prev %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_nom_prev, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), VISIT, ADTM, VISIT, PCTPT, ADTM_prev, NFRLT_prev + display_vars = c(get_admiral_option("subject_keys"), + exprs(VISIT, ADTM, VISIT, PCTPT, + ADTM_prev, NFRLT_prev + ) ) ) ``` @@ -1125,8 +1143,9 @@ adppk_aprlt <- bind_rows(adppk_nom_prev, ex_exp) %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_aprlt, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), EVID, NFRLT, AFRLT, APRLT, NPRLT + display_vars = c(get_admiral_option("subject_keys"), + exprs(EVID, NFRLT, AFRLT, APRLT, NPRLT + ) ) ) ``` @@ -1209,8 +1228,9 @@ adppk_aval <- adppk_aprlt %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_aval, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN + display_vars = c(get_admiral_option("subject_keys"), + exprs(EVID, DOSEA, AMT, NFRLT, AFRLT, + CMT, DV, MDV, BLQFN) ) ) ``` @@ -1251,9 +1271,9 @@ adppk_aseq <- adppk_aval %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_aseq, - display_vars = exprs( - !!!get_admiral_option("subject_keys"), EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN, ASEQ - ) + display_vars = c( + get_admiral_option("subject_keys"), exprs(EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN, ASEQ + )) ) ``` diff --git a/vignettes/questionnaires.Rmd b/vignettes/questionnaires.Rmd index b68e48380c..e37d9a0703 100644 --- a/vignettes/questionnaires.Rmd +++ b/vignettes/questionnaires.Rmd @@ -110,7 +110,7 @@ adqs <- qs %>% ```{r echo=FALSE} dataset_vignette( arrange(adqs, USUBJID, PARCAT1, ADY, PARAMCD), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, PARCAT1, AVALC, AVAL, ADY, AVISIT) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, PARCAT1, AVALC, AVAL, ADY, AVISIT)) ) ``` @@ -143,7 +143,7 @@ adgad7 <- adqs %>% derive_summary_records( dataset = ., dataset_add = ., - by_vars = get_admiral_option("subject_keys"), AVISIT, ADT, ADY, TRTSDT, DTHCAUS), + by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT, ADT, ADY, TRTSDT, DTHCAUS)), # Select records contributing to total score filter_add = str_detect(PARAMCD, "GAD020[1-7]"), set_values_to = exprs( @@ -157,7 +157,7 @@ adgad7 <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adgad7, USUBJID, ADY, PARAMCD), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, ADY, AVISIT) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVAL, ADY, AVISIT)) ) ``` @@ -173,7 +173,7 @@ adgdssf <- adqs %>% derive_summary_records( dataset = ., dataset_add = ., - by_vars = get_admiral_option("subject_keys"), AVISIT, ADT, ADY, TRTSDT, DTHCAUS), + by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT, ADT, ADY, TRTSDT, DTHCAUS)), # Select records contributing to total score filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), set_values_to = exprs( @@ -193,7 +193,7 @@ adgdssf <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, ADY, PARAMCD), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, ADY, AVISIT) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVAL, ADY, AVISIT)) ) ``` @@ -205,7 +205,7 @@ adgdssf <- adgdssf %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADT), new_var = ABLFL, mode = "last" @@ -214,7 +214,7 @@ adgdssf <- adgdssf %>% ) %>% # Derive baseline and change from baseline variables derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), source_var = AVAL, new_var = BASE ) %>% @@ -231,7 +231,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( adgdssf, - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVAL, BASE, CHG, PCHG) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVAL, BASE, CHG, PCHG)) ) ``` @@ -264,12 +264,12 @@ adgdssf <- adgdssf %>% ) ) %>% derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), source_var = AVALCAT1, new_var = BASECAT1 ) %>% derive_var_base( - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), source_var = AVALCAT1N, new_var = BASECA1N ) %>% @@ -285,7 +285,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVAL, AVALCAT1, CHGCAT1) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVAL, AVALCAT1, CHGCAT1)) ) ``` @@ -349,7 +349,7 @@ adgdstte <- derive_param_tte( ```{r echo=FALSE} dataset_vignette( adgdstte, - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVAL, CNSR, EVNTDESC, SRCDOM, SRCVAR) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVAL, CNSR, EVNTDESC, SRCDOM, SRCVAR)) ) ``` @@ -365,7 +365,7 @@ later: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADT), new_var = CDETFL, join_vars = exprs(CHGCAT1, ADY), @@ -379,7 +379,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, CDETFL) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, ADY, CHGCAT1, CDETFL)) ) ``` @@ -391,7 +391,7 @@ argument is helpful: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADT), new_var = CONDETFL, join_vars = exprs(CHGCAT1), @@ -407,7 +407,7 @@ adgdssf <- adgdssf %>% derive_var_joined_exist_flag( ., dataset_add = ., - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADT), new_var = CDTDTHFL, join_vars = exprs(CHGCAT1, ADY), @@ -422,7 +422,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, CONDETFL, CDTDTHFL) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, ADY, CHGCAT1, CONDETFL, CDTDTHFL)) ) ``` @@ -433,7 +433,7 @@ parameter summary functions like `all()` can be used in the filter condition: adgdssf <- adgdssf %>% derive_var_joined_exist_flag( dataset_add = adgdssf, - by_vars = get_admiral_option("subject_keys"), PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADT), new_var = DEFDETFL, join_vars = exprs(CHGCAT1), @@ -445,7 +445,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, ADY, CHGCAT1, DEFDETFL) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, ADY, CHGCAT1, DEFDETFL)) ) ``` @@ -465,7 +465,7 @@ example, "no sleeping problems" is assumed if all questions were answered with adsp <- adqs %>% filter(PARCAT1 == "SLEEPING PROBLEMS") %>% derive_extreme_event( - by_vars = get_admiral_option("subject_keys"), AVISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT)), tmp_event_nr_var = event_nr, order = exprs(event_nr, ADY, QSSEQ), mode = "first", @@ -516,7 +516,7 @@ adsp <- adqs %>% ```{r echo=FALSE} dataset_vignette( arrange(adsp, USUBJID, ADY, PARAMCD), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVALC)) ) ``` @@ -529,7 +529,7 @@ adgdssf <- adgdssf %>% derive_summary_records( dataset_add = adgdssf, filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), - by_vars = get_admiral_option("subject_keys"), AVISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT)), set_values_to = exprs( AVAL = sum(!is.na(AVAL)) / 15 >= 0.9, PARAMCD = "COMPL90P", @@ -542,7 +542,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, PARAMCD, ADY), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVALC)) ) ``` @@ -580,7 +580,7 @@ adgdssf <- adgdssf %>% dataset = ., dataset_add = ., filter_add = str_detect(PARAMCD, "GDS02[01][0-9]"), - by_vars = get_admiral_option("subject_keys"), AVISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT)), set_values_to = exprs( AVAL = all(!is.na(AVAL)), PARAMCD = "COMPLALL", @@ -595,6 +595,6 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( arrange(adgdssf, USUBJID, PARAMCD, ADY), - display_vars = get_admiral_option("subject_keys"), PARAMCD, PARAM, AVISIT, AVALC) + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVALC)) ) ``` diff --git a/vignettes/visits_periods.Rmd b/vignettes/visits_periods.Rmd index bd57f3a83e..918031548e 100644 --- a/vignettes/visits_periods.Rmd +++ b/vignettes/visits_periods.Rmd @@ -288,7 +288,7 @@ adsl2 <- derive_vars_period( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl2, - display_vars = get_admiral_option("subject_keys"), AP01SDT, AP01EDT, AP02SDT, AP02EDT) + display_vars = c(get_admiral_option("subject_keys"), exprs(AP01SDT, AP01EDT, AP02SDT, AP02EDT)) ) ``` @@ -358,7 +358,7 @@ adsl <- derive_vars_period( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = get_admiral_option("subject_keys"), TRT01A, TRT02A, AP01SDT, AP01EDT, AP02SDT, AP02EDT) + display_vars = c(get_admiral_option("subject_keys"), exprs(TRT01A, TRT02A, AP01SDT, AP01EDT, AP02SDT, AP02EDT)) ) ``` From 7f009464f44d7a42b5d42b5272fba9020b11743c Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Fri, 31 May 2024 20:12:59 -0400 Subject: [PATCH 11/22] Fixed errors due to missing parentheses in ad_adex, ad_admh, and adppk .R files --- inst/templates/ad_adex.R | 11 ++- inst/templates/ad_admh.R | 10 +-- inst/templates/ad_adpc.R | 16 ++-- inst/templates/ad_adppk.R | 2 +- vignettes/bds_exposure.Rmd | 57 +++++++------- vignettes/bds_tte.Rmd | 10 +-- vignettes/occds.Rmd | 52 +++++++------ vignettes/pk_adnca.Rmd | 150 +++++++++++++++++++++---------------- 8 files changed, 173 insertions(+), 135 deletions(-) diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index 25e2ebff10..cbad8ef7c0 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -160,6 +160,7 @@ adex <- adex %>% ), dataset_add = adex, by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars) + ) ) %>% # W2-W24 exposure call_derivation( @@ -208,8 +209,8 @@ adex <- adex %>% ), dataset_add = adex, filter_add = VISIT %in% c("WEEK 2", "WEEK 24"), - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars) - ) %>% + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)) + ) %>% # Overall Dose intensity and W2-24 dose intensity call_derivation( derivation = derive_param_doseint, @@ -227,7 +228,8 @@ adex <- adex %>% ), by_vars = c( get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT - )) + ) + ) ) %>% # Overall/W2-24 Average daily dose call_derivation( @@ -250,7 +252,8 @@ adex <- adex %>% ), by_vars = c( get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT - )) + ) + ) ) # Part 4: Derive/Assign the last required variables ---- diff --git a/inst/templates/ad_admh.R b/inst/templates/ad_admh.R index e8e22d402c..4a2b00ea47 100644 --- a/inst/templates/ad_admh.R +++ b/inst/templates/ad_admh.R @@ -89,32 +89,32 @@ admh <- mh %>% ) %>% derive_var_extreme_flag( by_vars = c(get_admiral_option("subject_keys"), exprs(MHBODSYS)), - order = get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + order = c(get_admiral_option("subject_keys"), exprs(MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ)), new_var = AOCCSFL, mode = "first" ) %>% derive_var_extreme_flag( by_vars = c(get_admiral_option("subject_keys"), exprs(MHDECOD)), - order = get_admiral_option("subject_keys"), MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + order = c(get_admiral_option("subject_keys"), exprs(MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ)), new_var = AOCCPFL, mode = "first" ) %>% # (company specific occurrence flag variables derivation) derive_var_extreme_flag( by_vars = get_admiral_option("subject_keys"), - order = get_admiral_option("subject_keys"), AHIST, ASTDT, MHSEQ), + order = c(get_admiral_option("subject_keys"), exprs(AHIST, ASTDT, MHSEQ)), new_var = AOCPFL, mode = "first" ) %>% derive_var_extreme_flag( by_vars = c(get_admiral_option("subject_keys"), exprs(MHBODSYS)), - order = get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, ASTDT, MHSEQ), + order = c(get_admiral_option("subject_keys"), exprs(AHIST, MHBODSYS, MHCAT, ASTDT, MHSEQ)), new_var = AOCPSFL, mode = "first" ) %>% derive_var_extreme_flag( by_vars = c(get_admiral_option("subject_keys"), exprs(MHDECOD)), - order = get_admiral_option("subject_keys"), AHIST, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ), + order = c(get_admiral_option("subject_keys"), exprs(AHIST, MHBODSYS, MHCAT, MHDECOD, MHTERM, ASTDT, MHSEQ)), new_var = AOCPPFL, mode = "first" ) %>% diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index 9212db81cc..3210c72c67 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -152,11 +152,13 @@ ex_exp <- ex_dates %>% lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, keep_source_vars = c( - get_admiral_option("subject_keys"), exprs(EVID, EXDOSFRQ, EXDOSFRM, - NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, - VISIT, VISITNUM, VISITDY, - TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars - )) + get_admiral_option("subject_keys"), exprs( + EVID, EXDOSFRQ, EXDOSFRM, + NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, + VISIT, VISITNUM, VISITDY, + TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars + ) + ) ) %>% # Derive AVISIT based on nominal relative time # Derive AVISITN to nominal time in whole days using integer division @@ -185,8 +187,8 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG) - )) %>% + by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG)) + ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time # Derive AVISITN to nominal time in whole days using integer division diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index b9a80cf101..2206f6cf72 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -161,7 +161,7 @@ adppk_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM, EXDOSE_first = EXDOSE), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG) + by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG)) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index cd0b61f8d2..5d13d0e6a8 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -90,10 +90,12 @@ adex <- derive_vars_merged( dataset_vignette( adex, display_vars = c( - get_admiral_option("subject_keys"), exprs(EXTRT, EXDOSE, EXDOSFRQ, - VISIT, EXSTDTC, EXENDTC, - TRTSDTM, TRTEDTM - )) + get_admiral_option("subject_keys"), exprs( + EXTRT, EXDOSE, EXDOSFRQ, + VISIT, EXSTDTC, EXENDTC, + TRTSDTM, TRTEDTM + ) + ) ) ``` @@ -189,8 +191,8 @@ dataset_vignette( adex, display_vars = c( get_admiral_option("subject_keys"), - exprs(VISIT, ASTDT, ASTDY, AENDT, AENDY, TRTSDT - )) + exprs(VISIT, ASTDT, ASTDY, AENDT, AENDY, TRTSDT) + ) ) ``` @@ -214,8 +216,8 @@ dataset_vignette( adex, display_vars = c( get_admiral_option("subject_keys"), - exprs(VISIT, ASTDT, ASTDY, AENDT, AENDY, EXDURD - )) + exprs(VISIT, ASTDT, ASTDY, AENDT, AENDY, EXDURD) + ) ) ``` @@ -237,8 +239,8 @@ dataset_vignette( adex, display_vars = c( get_admiral_option("subject_keys"), - exprs(VISIT, ASTDT, AENDT, EXDURD, EXDURDY - )) + exprs(VISIT, ASTDT, AENDT, EXDURD, EXDURDY) + ) ) ``` @@ -277,8 +279,7 @@ frequency to a corresponding set of records each representing one dose (i.e. ```{r eval=TRUE, echo=TRUE} single_dose <- adex %>% filter(USUBJID == "01-701-1015" & EXSTDY == 1) %>% - create_single_dose_dataset(keep_source_vars = c(get_admiral_option("subject_keys"), exprs(EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) - ) + create_single_dose_dataset(keep_source_vars = c(get_admiral_option("subject_keys"), exprs(EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT))) ``` ```{r, eval=TRUE, echo=FALSE} @@ -376,10 +377,13 @@ adex <- derive_param_exposure( ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, PARAMCD, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = - c(get_admiral_option("subject_keys"), exprs(VISIT, - PARCAT1, PARAMCD, AVAL, ASTDT, AENDT - ))) + dataset_vignette( + display_vars = + c(get_admiral_option("subject_keys"), exprs( + VISIT, + PARCAT1, PARAMCD, AVAL, ASTDT, AENDT + )) + ) ``` @@ -443,8 +447,8 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars) - )) + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)) + ) count(adex, PARAMCD, PARCAT1) ``` @@ -454,10 +458,11 @@ count(adex, PARAMCD, PARCAT1) adex %>% arrange(USUBJID, PARAMCD, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% dataset_vignette(display_vars = c( - get_admiral_option("subject_keys"), exprs(VISIT, - PARCAT1, PARAMCD, AVAL, AVALC, ASTDT, AENDT - )) - ) + get_admiral_option("subject_keys"), exprs( + VISIT, + PARCAT1, PARAMCD, AVAL, AVALC, ASTDT, AENDT + ) + )) ``` Dose intensity can be calculated using the function `derive_param_doseint()`. The @@ -480,9 +485,11 @@ adex <- adex %>% dataset_vignette( adex, display_vars = c( - get_admiral_option("subject_keys"), exprs(VISIT, EXSTDTC, EXENDTC, - PARCAT1, PARAMCD, AVAL, ASTDT, AENDT - )) + get_admiral_option("subject_keys"), exprs( + VISIT, EXSTDTC, EXENDTC, + PARCAT1, PARAMCD, AVAL, ASTDT, AENDT + ) + ) ) ``` diff --git a/vignettes/bds_tte.Rmd b/vignettes/bds_tte.Rmd index 858ac82012..290c2eaf04 100644 --- a/vignettes/bds_tte.Rmd +++ b/vignettes/bds_tte.Rmd @@ -306,7 +306,7 @@ adrs <- tibble::tribble( PARAM = "Overall Response" ) %>% select(!!!get_admiral_option("subject_keys"), PARAMCD, PARAM, ADT, ASEQ, AVALC) - + dataset_vignette( adrs, @@ -410,8 +410,7 @@ dataset_vignette( select( !!!get_admiral_option("subject_keys"), PARAMCD, PARAM, STARTDT, ADT, ADTF, CNSR, EVNTDESC, SRCDOM, SRCVAR - ) - , + ), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, STARTDT, ADT, ADTF, CNSR)) ) ``` @@ -507,10 +506,7 @@ adaette <- call_derivation( adaette %>% select(!!!get_admiral_option("subject_keys"), PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) %>% arrange(!!!get_admiral_option("subject_keys"), PARAMCD) %>% - - dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR) - ) - ) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, STARTDT, ADT, CNSR, EVNTDESC, SRCDOM, SRCVAR))) ``` ### Deriving Time-to-Event Parameters Using By Groups diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index ef645c5666..da6162b225 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -86,10 +86,10 @@ adae <- derive_vars_merged( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c(get_admiral_option("subject_keys"), exprs(AESEQ, AETERM, AESTDTC, TRTSDT, + display_vars = c(get_admiral_option("subject_keys"), exprs( + AESEQ, AETERM, AESTDTC, TRTSDT, TRTEDT, TRT01A, TRT01P, DTHDT, EOSDT - ) - ) + )) ) ``` @@ -127,9 +127,11 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c(get_admiral_option("subject_keys"), - exprs(AESTDTC, AEENDTC, ASTDTM, ASTDT, - ASTDY, AENDTM, AENDT, AENDY + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + AESTDTC, AEENDTC, ASTDTM, ASTDT, + ASTDY, AENDTM, AENDT, AENDY ) ) ) @@ -155,9 +157,11 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c(get_admiral_option("subject_keys"), - exprs(AESTDTC, AEENDTC, ASTDT, AENDT, - ADURN, ADURU + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + AESTDTC, AEENDTC, ASTDT, AENDT, + ADURN, ADURU ) ) ) @@ -255,9 +259,11 @@ adae <- derive_vars_joined( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c(get_admiral_option("subject_keys"), - exprs(AEDECOD, AESEQ, AESTDTC, AEENDTC, - ASTDT, AENDT, LDOSEDTM + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + AEDECOD, AESEQ, AESTDTC, AEENDTC, + ASTDT, AENDT, LDOSEDTM ) ) ) @@ -294,9 +300,11 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c(get_admiral_option("subject_keys"), - exprs(TRTSDT, TRTEDT, AESTDTC, ASTDT, - TRTEMFL + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + TRTSDT, TRTEDT, AESTDTC, ASTDT, + TRTEMFL ) ) ) @@ -409,9 +417,9 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c(get_admiral_option("subject_keys"), - exprs(ASTDTM, ASEV, AESEQ, TRTEMFL, AOCCIFL - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(ASTDTM, ASEV, AESEQ, TRTEMFL, AOCCIFL) ) ) ``` @@ -498,9 +506,11 @@ adae <- adae %>% dataset_vignette( adae, display_vars = c( - get_admiral_option("subject_keys"), exprs(AEDECOD, ASTDTM, DTHDT, RFSTDTC, - RFENDTC, AGE, AGEU, SEX - )) + get_admiral_option("subject_keys"), exprs( + AEDECOD, ASTDTM, DTHDT, RFSTDTC, + RFENDTC, AGE, AGEU, SEX + ) + ) ) ``` diff --git a/vignettes/pk_adnca.Rmd b/vignettes/pk_adnca.Rmd index 5b293bfa22..6c1416e583 100644 --- a/vignettes/pk_adnca.Rmd +++ b/vignettes/pk_adnca.Rmd @@ -199,9 +199,9 @@ pc_dates <- pc %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( pc_dates, - display_vars = c(get_admiral_option("subject_keys"), - exprs(PCTEST, ADTM, VISIT, PCTPT, NFRLT - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(PCTEST, ADTM, VISIT, PCTPT, NFRLT) ) ) ``` @@ -259,9 +259,12 @@ ex_dates <- ex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( ex_dates, - display_vars = c(get_admiral_option("subject_keys"), - exprs(EXTRT, EXDOSFRQ, ASTDTM, AENDTM, - VISIT,VISITDY, NFRLT) + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + EXTRT, EXDOSFRQ, ASTDTM, AENDTM, + VISIT, VISITDY, NFRLT + ) ) ) ``` @@ -300,10 +303,12 @@ ex_exp <- ex_dates %>% lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, keep_source_vars = c( - get_admiral_option("subject_keys"), exprs(EVID, EXDOSFRQ, EXDOSFRM, - NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, - VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars - )) + get_admiral_option("subject_keys"), exprs( + EVID, EXDOSFRQ, EXDOSFRM, + NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, + VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars + ) + ) ) %>% # Derive AVISIT based on nominal relative time # Derive AVISITN to nominal time in whole days using integer division @@ -325,9 +330,12 @@ ex_exp <- ex_dates %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( ex_exp, - display_vars = c(get_admiral_option("subject_keys"), - exprs(DRUG,EXDOSFRQ, ASTDTM, AENDTM, - AVISIT, NFRLT) + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + DRUG, EXDOSFRQ, ASTDTM, AENDTM, + AVISIT, NFRLT + ) ) ) ``` @@ -360,16 +368,14 @@ adpc_first_dose <- pc_dates %>% mutate( AVISITN = NFRLT %/% 24 + 1, AVISIT = paste("Day", AVISITN) - ) - + ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_first_dose, display_vars = c( - get_admiral_option("subject_keys"), exprs(FANLDTM, AVISIT, ADTM, PCTPT - ) + get_admiral_option("subject_keys"), exprs(FANLDTM, AVISIT, ADTM, PCTPT) ) ) ``` @@ -406,10 +412,12 @@ adpc_prev <- adpc_first_dose %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_prev, - display_vars = c(get_admiral_option("subject_keys"), - exprs(VISIT, ADTM, VISIT, PCTPT, - ADTM_prev, EXDOSE_prev, AVISIT_prev - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + VISIT, ADTM, VISIT, PCTPT, + ADTM_prev, EXDOSE_prev, AVISIT_prev + ) ) ) ``` @@ -443,9 +451,12 @@ adpc_next <- adpc_prev %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_next, - display_vars = c(get_admiral_option("subject_keys"), - exprs(VISIT, ADTM, VISIT, PCTPT, ADTM_next, EXDOSE_next, - AVISIT_next) + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + VISIT, ADTM, VISIT, PCTPT, ADTM_next, EXDOSE_next, + AVISIT_next + ) ) ) ``` @@ -495,9 +506,9 @@ adpc_nom_next <- adpc_nom_prev %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_nom_next, - display_vars = c(get_admiral_option("subject_keys"), - exprs(NFRLT, PCTPT, NFRLT_prev, NFRLT_next - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(NFRLT, PCTPT, NFRLT_prev, NFRLT_next) ) ) ``` @@ -590,9 +601,12 @@ adpc_arrlt <- bind_rows(adpc_nom_next, ex_exp) %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_arrlt, - display_vars = c(get_admiral_option("subject_keys"), - exprs(FANLDTM, AVISIT, PCTPT, AFRLT, - ARRLT, AXRLT) + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + FANLDTM, AVISIT, PCTPT, AFRLT, + ARRLT, AXRLT + ) ) ) ``` @@ -619,9 +633,9 @@ adpc_nrrlt <- adpc_arrlt %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_nrrlt, - display_vars = c(get_admiral_option("subject_keys"), - exprs(AVISIT, PCTPT, NFRLT, NRRLT, NXRLT - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(AVISIT, PCTPT, NFRLT, NRRLT, NXRLT) ) ) ``` @@ -730,9 +744,12 @@ adpc_aval <- adpc_nrrlt %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adpc_aval, - display_vars = c(get_admiral_option("subject_keys"), - exprs(NFRLT, AVISIT, ATPT, ABLFL, - ATPTREF, AVAL, AVALCAT1) + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + NFRLT, AVISIT, ATPT, ABLFL, + ATPTREF, AVAL, AVALCAT1 + ) ) ) ``` @@ -785,9 +802,12 @@ dtype <- adpc_aval %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( dtype, - display_vars = c(get_admiral_option("subject_keys"), - exprs(DTYPE, ATPT, NFRLT, NRRLT, - AFRLT, ARRLT, BASETYPE) + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + DTYPE, ATPT, NFRLT, NRRLT, + AFRLT, ARRLT, BASETYPE + ) ) ) ``` @@ -820,11 +840,11 @@ adpc_dtype <- bind_rows(adpc_aval, dtype) %>% ```{r, eval=TRUE, echo=FALSE} adpc_dtype %>% - dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, ADTM, - ATPT, NFRLT, NRRLT, - ARRLT, MRRLT) - ) - ) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs( + BASETYPE, ADTM, + ATPT, NFRLT, NRRLT, + ARRLT, MRRLT + ))) ``` ## Calculate Change from Baseline and Assign `ASEQ` {#aseq} @@ -876,10 +896,7 @@ adpc_aseq <- adpc_chg %>% ```{r, eval=TRUE, echo=FALSE} adpc_aseq %>% - dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, DTYPE, AVISIT, ATPT, AVAL, NFRLT, NRRLT, AFRLT, ARRLT, BASE, CHG - ) - ) -) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, DTYPE, AVISIT, ATPT, AVAL, NFRLT, NRRLT, AFRLT, ARRLT, BASE, CHG))) ``` ## Add Additional Baseline Variables {#baselines} @@ -913,9 +930,7 @@ adpc_baselines <- adpc_aseq %>% ```{r, eval=TRUE, echo=FALSE} adpc_baselines %>% - dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(HTBL, HTBLU, WTBL, WTBLU, BMIBL, BMIBLU, BASETYPE, ATPT, AVAL) - ) -) + dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(HTBL, HTBLU, WTBL, WTBLU, BMIBL, BMIBLU, BASETYPE, ATPT, AVAL))) ``` ## Add the `ADSL` variables {#adsl_vars} @@ -1021,9 +1036,9 @@ adppk_first_dose <- pc_dates %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_first_dose, - display_vars = c(get_admiral_option("subject_keys"), - exprs(FANLDTM, AVISIT, ADTM, PCTPT - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(FANLDTM, AVISIT, ADTM, PCTPT) ) ) ``` @@ -1075,9 +1090,11 @@ adppk_nom_prev <- adppk_prev %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_nom_prev, - display_vars = c(get_admiral_option("subject_keys"), - exprs(VISIT, ADTM, VISIT, PCTPT, - ADTM_prev, NFRLT_prev + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + VISIT, ADTM, VISIT, PCTPT, + ADTM_prev, NFRLT_prev ) ) ) @@ -1143,9 +1160,9 @@ adppk_aprlt <- bind_rows(adppk_nom_prev, ex_exp) %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_aprlt, - display_vars = c(get_admiral_option("subject_keys"), - exprs(EVID, NFRLT, AFRLT, APRLT, NPRLT - ) + display_vars = c( + get_admiral_option("subject_keys"), + exprs(EVID, NFRLT, AFRLT, APRLT, NPRLT) ) ) ``` @@ -1228,9 +1245,12 @@ adppk_aval <- adppk_aprlt %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adppk_aval, - display_vars = c(get_admiral_option("subject_keys"), - exprs(EVID, DOSEA, AMT, NFRLT, AFRLT, - CMT, DV, MDV, BLQFN) + display_vars = c( + get_admiral_option("subject_keys"), + exprs( + EVID, DOSEA, AMT, NFRLT, AFRLT, + CMT, DV, MDV, BLQFN + ) ) ) ``` @@ -1272,8 +1292,8 @@ adppk_aseq <- adppk_aval %>% dataset_vignette( adppk_aseq, display_vars = c( - get_admiral_option("subject_keys"), exprs(EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN, ASEQ - )) + get_admiral_option("subject_keys"), exprs(EVID, DOSEA, AMT, NFRLT, AFRLT, CMT, DV, MDV, BLQFN, ASEQ) + ) ) ``` From f51d7beec58ed9fd59530ec220588bbfc2745932 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Fri, 31 May 2024 22:29:09 -0400 Subject: [PATCH 12/22] ran styler::style_file(c("inst/templates/ad_adex.R", "inst/templates/ad_adppk.R")) to fix code style error --- inst/templates/ad_adex.R | 11 ++++------- inst/templates/ad_adppk.R | 12 +++++++----- 2 files changed, 11 insertions(+), 12 deletions(-) diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index cbad8ef7c0..4536e50ae5 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -159,8 +159,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars) - ) + by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)) ) %>% # W2-W24 exposure call_derivation( @@ -210,7 +209,7 @@ adex <- adex %>% dataset_add = adex, filter_add = VISIT %in% c("WEEK 2", "WEEK 24"), by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)) - ) %>% + ) %>% # Overall Dose intensity and W2-24 dose intensity call_derivation( derivation = derive_param_doseint, @@ -227,8 +226,7 @@ adex <- adex %>% ) ), by_vars = c( - get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT - ) + get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT) ) ) %>% # Overall/W2-24 Average daily dose @@ -251,8 +249,7 @@ adex <- adex %>% ) ), by_vars = c( - get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT - ) + get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT) ) ) diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index 2206f6cf72..ceff03a7c6 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -129,11 +129,13 @@ ex_exp <- ex_dates %>% lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, keep_source_vars = c( - get_admiral_option("subject_keys"), exprs(EVID, EXDOSFRQ, EXDOSFRM, - NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, - VISIT, VISITNUM, VISITDY, - TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars - )) + get_admiral_option("subject_keys"), exprs( + EVID, EXDOSFRQ, EXDOSFRM, + NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, + VISIT, VISITNUM, VISITDY, + TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars + ) + ) ) %>% # Derive AVISIT based on nominal relative time # Derive AVISITN to nominal time in whole days using integer division From 5e20b1b1652c5ed3832677356f3f519852c1dad2 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Tue, 4 Jun 2024 16:01:09 -0400 Subject: [PATCH 13/22] Added STUDYID to vignettes so that get_admiral_option("subject_keys") can be used instead of subsetting with []. Replaced instances of !!!adsl_vars with just adsl_vars. Found other instances of USUBJID, STUDYID and replaced with get_admiral_optios("subject_keys") where errors didnt occur from the change. --- inst/templates/ad_adex.R | 4 +- inst/templates/ad_adlbhy.R | 6 +- inst/templates/ad_adppk.R | 4 +- inst/templates/ad_advs.R | 2 +- vignettes/bds_exposure.Rmd | 6 +- vignettes/bds_finding.Rmd | 29 +++---- vignettes/generic.Rmd | 162 ++++++++++++++++++------------------- vignettes/occds.Rmd | 14 ++-- 8 files changed, 114 insertions(+), 113 deletions(-) diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index 4536e50ae5..c81b83b481 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -159,7 +159,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)) + by_vars = c(get_admiral_option("subject_keys"), adsl_vars) ) %>% # W2-W24 exposure call_derivation( @@ -208,7 +208,7 @@ adex <- adex %>% ), dataset_add = adex, filter_add = VISIT %in% c("WEEK 2", "WEEK 24"), - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)) + by_vars = c(get_admiral_option("subject_keys"), adsl_vars) ) %>% # Overall Dose intensity and W2-24 dose intensity call_derivation( diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index d5296df361..963f6d1a45 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -43,7 +43,7 @@ adlb_annotated <- adlb %>% ) ) ) %>% - select(STUDYID, USUBJID, TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) + select(get_admiral_option("subject_keys"), TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) # Subset Datasets altast_records <- adlb_annotated %>% @@ -65,11 +65,11 @@ hylaw_records <- derive_vars_joined( ) hylaw_records_pts_visits <- hylaw_records %>% - select(STUDYID, USUBJID, TRT01A) %>% # add AVISIT, ADT for by visit + select(get_admiral_option("subject_keys"), TRT01A) %>% # add AVISIT, ADT for by visit distinct() hylaw_records_fls <- hylaw_records %>% - select(STUDYID, USUBJID, TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit + select(get_admiral_option("subject_keys"), TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit distinct() # Create new parameters based on records that present potential case diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index ceff03a7c6..2c57b3da20 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -403,7 +403,7 @@ covar <- adsl %>% ) ) %>% select( - STUDYID, STUDYIDN, SITEID, SITEIDN, USUBJID, USUBJIDN, + get_admiral_option("subject_keys"), STUDYIDN, SITEID, SITEIDN, USUBJIDN, SUBJID, SUBJIDN, AGE, SEX, SEXN, COHORT, COHORTC, ROUTE, ROUTEN, RACE, RACEN, ETHNIC, ETHNICN, FORM, FORMN, COUNTRY, COUNTRYN, COUNTRYL ) @@ -413,7 +413,7 @@ covar <- adsl %>% labsbl <- lb %>% filter(LBBLFL == "Y" & LBTESTCD %in% c("CREAT", "ALT", "AST", "BILI")) %>% mutate(LBTESTCDB = paste0(LBTESTCD, "BL")) %>% - select(STUDYID, USUBJID, LBTESTCDB, LBSTRESN) + select(get_admiral_option("subject_keys"), LBTESTCDB, LBSTRESN) covar_vslb <- covar %>% derive_vars_merged( diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index 1762b247e2..8ce7e9aeb7 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -218,7 +218,7 @@ advs <- advs %>% # only if AVALC is mapped # derive_var_base( - # by_vars = exprs(STUDYID, USUBJID, PARAMCD, BASETYPE), + # by_vars = exprs(get_admiral_option("subject_keys"), PARAMCD, BASETYPE), # source_var = AVALC, # new_var = BASEC # ) %>% diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index 5d13d0e6a8..d4cf1d1aab 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -364,7 +364,7 @@ For example, to calculate the total dose by subject and treatment, adex <- derive_param_exposure( adex, dataset_add = adex, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars), input_code = "DOSE", set_values_to = exprs( PARAMCD = "TDOSE", @@ -447,7 +447,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)) + by_vars = c(get_admiral_option("subject_keys"), adsl_vars) ) count(adex, PARAMCD, PARCAT1) @@ -473,7 +473,7 @@ specified in the `by_vars` argument will be populated in this new record. ```{r eval=TRUE, echo=TRUE} adex <- adex %>% derive_param_doseint( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars), set_values_to = exprs(PARAMCD = "TNDOSINT"), tadm_code = "TDOSE", tpadm_code = "TPDOSE" diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index f36f0d932a..12f37c3a58 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -243,9 +243,9 @@ advs <- derive_vars_merged_lookup( ``` ```{r, eval=TRUE, echo=FALSE} -advs_param <- distinct(advs, USUBJID, PARAMCD, VSTESTCD) +advs_param <- distinct(advs, STUDYID, USUBJID, PARAMCD, VSTESTCD) -dataset_vignette(advs_param, display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], VSTESTCD, PARAMCD)) +dataset_vignette(advs_param, display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, PARAMCD))) ``` Please note, it may be necessary to include other variables in the join. For @@ -460,7 +460,7 @@ advs <- derive_var_ontrtfl( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, TRTSDT, TRTEDT, ONTRTFL), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ADT, TRTSDT, TRTEDT, ONTRTFL)), filter = PARAMCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -515,10 +515,10 @@ and `ref_end_date = AP01EDT`. advs_pre <- select(advs, -ONTRTFL) advs <- tibble::tribble( - ~USUBJID, ~ASTDT, ~AP01SDT, ~AP01EDT, ~AENDT, - "P01", ymd("2020-03-15"), ymd("2020-01-01"), ymd("2020-03-01"), ymd("2020-12-01"), - "P02", ymd("2019-04-30"), ymd("2020-01-01"), ymd("2020-03-01"), ymd("2020-03-15"), - "P03", ymd("2019-04-30"), ymd("2020-01-01"), ymd("2020-03-01"), NA, + ~STUDYID, ~USUBJID, ~ASTDT, ~AP01SDT, ~AP01EDT, ~AENDT, + "odr_1", "P01", ymd("2020-03-15"), ymd("2020-01-01"), ymd("2020-03-01"), ymd("2020-12-01"), + "odr_1", "P02", ymd("2019-04-30"), ymd("2020-01-01"), ymd("2020-03-01"), ymd("2020-03-15"), + "odr_1", "P03", ymd("2019-04-30"), ymd("2020-01-01"), ymd("2020-03-01"), NA, ) ``` @@ -533,10 +533,11 @@ advs <- derive_var_ontrtfl( span_period = TRUE ) ``` + ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], ASTDT, AENDT, AP01SDT, AP01EDT, ONTR01FL) + display_vars = c(get_admiral_option("subject_keys"), exprs(ASTDT, AENDT, AP01SDT, AP01EDT, ONTR01FL)) ) ``` @@ -574,7 +575,7 @@ advs <- derive_var_anrind(advs) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, AVAL, ANRLO, ANRHI, A1LO, A1HI, ANRIND), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVAL, ANRLO, ANRHI, A1LO, A1HI, ANRIND)), filter = PARAMCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -841,7 +842,7 @@ advs <- derive_var_obs_number( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, ATPTN, VISIT, ADT, ASEQ), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ADT, AVISITN, ATPTN, VISIT, ADT, ASEQ)), filter = USUBJID == "01-701-1015" ) ``` @@ -877,7 +878,7 @@ advs <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, AVAL, AVALCA1N, AVALCAT1), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVAL, AVALCA1N, AVALCAT1)), filter = PARAMCD == "HEIGHT" ) ``` @@ -897,7 +898,7 @@ advs <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], RFSTDTC, RFENDTC, DTHDTC, DTHFL, AGE, AGEU), + display_vars = c(get_admiral_option("subject_keys"),exprs(RFSTDTC, RFENDTC, DTHDTC, DTHFL, AGE, AGEU)), filter = USUBJID == "01-701-1015" ) ``` @@ -939,7 +940,7 @@ advs_ex1 <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex1, USUBJID, PARAMCD, desc(AVISITN), ATPTN), - display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL)), filter = USUBJID == "01-701-1015" & ANL01FL == "Y" ) ``` @@ -969,7 +970,7 @@ advs_ex1 <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex1, USUBJID, PARAMCD, desc(AVISITN), ATPTN), - display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL), + display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL)), filter = USUBJID == "01-701-1015" & ANL01FL == "Y" ) ``` diff --git a/vignettes/generic.Rmd b/vignettes/generic.Rmd index 3c32ec339d..b2a75ce855 100644 --- a/vignettes/generic.Rmd +++ b/vignettes/generic.Rmd @@ -201,25 +201,25 @@ specified by the `filter_add` or `filter` argument. In the following example baseline weight is added to `ADSL`. ```{r} adsl <- tribble( - ~USUBJID, - "1", - "2", - "3" + ~STUDYID, ~USUBJID, + "xyz", "1", + "xyz", "2", + "xyz", "3" ) advs <- tribble( - ~USUBJID, ~PARAMCD, ~AVISIT, ~ABLFL, ~AVAL, ~AVALU, - "1", "WEIGHT", "BASELINE", "Y", 58.7, "kg", - "1", "HEIGHT", "BASELINE", "Y", 169.2, "cm", - "1", "WEIGHT", "WEEK 3", NA, 59.3, "kg", - "2", "WEIGHT", "BASELINE", "Y", 72.5, "kg", - "2", "WEIGHT", "WEKK 3", NA, 71.9, "kg", +~STUDYID, ~USUBJID, ~PARAMCD, ~AVISIT, ~ABLFL, ~AVAL, ~AVALU, + "xyz" ,"1", "WEIGHT", "BASELINE", "Y", 58.7, "kg", + "xyz", "1", "HEIGHT", "BASELINE", "Y", 169.2, "cm", + "xyz", "1", "WEIGHT", "WEEK 3", NA, 59.3, "kg", + "xyz", "2", "WEIGHT", "BASELINE", "Y", 72.5, "kg", + "xyz", "2", "WEIGHT", "WEKK 3", NA, 71.9, "kg", ) derive_vars_merged( adsl, dataset_add = advs, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), + by_vars = get_admiral_option("subject_keys"), filter_add = PARAMCD == "WEIGHT" & ABLFL == "Y", new_vars = exprs(WGTBL = AVAL) ) @@ -233,25 +233,25 @@ Below the day of the last valid dose is added to `ADSL`. ```{r} adsl <- tribble( - ~USUBJID, - "1", - "2", - "3" + ~STUDYID, ~USUBJID, + "xyz", "1", + "xyz", "2", + "xyz", "3" ) ex <- tribble( - ~USUBJID, ~EXSTDY, ~EXDOSE, - "1", 1, 50, - "1", 7, 70, - "1", 14, 0, - "2", 1, 75, - "2", 9, 70 -) + ~STUDYID, ~USUBJID, ~EXSTDY, ~EXDOSE, + "xyz", "1", 1, 50, + "xyz", "1", 7, 70, + "xyz", "1", 14, 0, + "xyz", "2", 1, 75, + "xyz", "2", 9, 70 + ) derive_vars_merged( adsl, dataset_add = ex, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), + by_vars = get_admiral_option("subject_keys"), filter_add = EXDOSE > 0, order = exprs(EXSTDY), mode = "last", @@ -269,25 +269,25 @@ dose of the last study treatment before an adverse event: ```{r} adae <- tribble( - ~USUBJID, ~ASTDY, ~AESEQ, - "1", 3, 1, - "1", 3, 2, - "1", 15, 3 +~STUDYID, ~USUBJID, ~ASTDY, ~AESEQ, + "xyz", "1", 3, 1, + "xyz", "1", 3, 2, + "xyz", "1", 15, 3 ) ex <- tribble( - ~USUBJID, ~EXSTDY, ~EXDOSE, - "1", 1, 50, - "1", 7, 70, - "1", 14, 0, - "2", 1, 75, - "2", 9, 70 +~STUDYID, ~USUBJID, ~EXSTDY, ~EXDOSE, + "xyz", "1", 1, 50, + "xyz", "1", 7, 70, + "xyz", "1", 14, 0, + "xyz", "2", 1, 75, + "xyz", "2", 9, 70 ) derive_vars_joined( adae, dataset_add = ex, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), + by_vars = get_admiral_option("subject_keys"), filter_add = EXDOSE > 0, filter_join = EXSTDY <= ASTDY, join_type = "all", @@ -302,7 +302,7 @@ The `filter_join` condition is applied on a temporary dataset created by left jo admiral:::get_joined_data( adae, dataset_add = ex, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), + by_vars = get_admiral_option("subject_keys"), filter_add = EXDOSE > 0, join_vars = exprs(EXDOSE), join_type = "all", @@ -318,23 +318,23 @@ where `"HIGH"` results should be flagged which are confirmed by a second `"HIGH"` result at least ten days later. ```{r} adlb <- tribble( - ~USUBJID, ~PARAMCD, ~ADY, ~ANRIND, - "1", "AST", 1, "HIGH", - "1", "AST", 7, "HIGH", - "1", "AST", 14, "NORMAL", - "1", "ALT", 1, "HIGH", - "1", "ALT", 7, "NORMAL", - "1", "ALT", 14, "HIGH", - "2", "AST", 1, "HIGH", - "2", "AST", 15, "HIGH", - "2", "AST", 22, "NORMAL", - "2", "ALT", 1, "HIGH" + ~STUDYID, ~USUBJID, ~PARAMCD, ~ADY, ~ANRIND, + "xyz", "1", "AST", 1, "HIGH", + "xyz", "1", "AST", 7, "HIGH", + "xyz", "1", "AST", 14, "NORMAL", + "xyz", "1", "ALT", 1, "HIGH", + "xyz", "1", "ALT", 7, "NORMAL", + "xyz", "1", "ALT", 14, "HIGH", + "xyz", "2", "AST", 1, "HIGH", + "xyz", "2", "AST", 15, "HIGH", + "xyz", "2", "AST", 22, "NORMAL", + "xyz", "2", "ALT", 1, "HIGH" ) derive_var_joined_exist_flag( adlb, dataset_add = adlb, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADY), join_vars = exprs(ADY, ANRIND), join_type = "after", @@ -353,7 +353,7 @@ So the temporary dataset for applying `filter_join` is: admiral:::get_joined_data( adlb, dataset_add = adlb, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADY), join_vars = exprs(ADY, ANRIND), join_type = "after" @@ -368,7 +368,7 @@ set it to the condition for confirmation. derive_var_joined_exist_flag( adlb, dataset_add = adlb, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADY), join_vars = exprs(ADY, ANRIND), join_type = "after", @@ -383,7 +383,7 @@ dataset are restricted up to the first records where the condition is fulfilled: admiral:::get_joined_data( adlb, dataset_add = adlb, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(ADY), join_vars = exprs(ADY, ANRIND), join_type = "after", @@ -410,16 +410,16 @@ Consider for example the following derivation of a last visit flag. The record with `AVISITN == NA` is flagged because `NA` is sorted to the end. ```{r} advs <- tribble( - ~USUBJID, ~PARAMCD, ~AVISITN, ~AVAL, - "1", "WEIGHT", NA, 62.1, - "1", "WEIGHT", 1, 62.3, - "1", "WEIGHT", 2, 62.5, - "1", "WEIGHT", 3, 62.4 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVISITN, ~AVAL, + "xyz", "1", "WEIGHT", NA, 62.1, + "xyz", "1", "WEIGHT", 1, 62.3, + "xyz", "1", "WEIGHT", 2, 62.5, + "xyz", "1", "WEIGHT", 3, 62.4 ) derive_var_extreme_flag( advs, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(AVISITN), mode = "last", new_var = LSTVISFL @@ -431,7 +431,7 @@ the `AVISITN == 3` record is flagged. ```{r} derive_var_extreme_flag( advs, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(if_else(is.na(AVISITN), -Inf, AVISITN)), mode = "last", new_var = LSTVISFL @@ -442,7 +442,7 @@ variables. ```{r} derive_var_extreme_flag( advs, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(!is.na(AVISITN), AVISITN), mode = "last", new_var = LSTVISFL @@ -473,19 +473,19 @@ concatenation, ..., the functions `derive_summary_records()` or parameter to `ADEX` can be done by the following: ```{r} adex <- tribble( - ~USUBJID, ~ASTDY, ~AVAL, ~PARAMCD, - "1", 1, 50, "DOSE", - "1", 7, 70, "DOSE", - "1", 14, 0, "DOSE", - "2", 1, 75, "DOSE", - "2", 9, 70, "DOSE" + ~STUDYID, ~USUBJID, ~ASTDY, ~AVAL, ~PARAMCD, + "xyz", "1", 1, 50, "DOSE", + "xyz", "1", 7, 70, "DOSE", + "xyz", "1", 14, 0, "DOSE", + "xyz", "2", 1, 75, "DOSE", + "xyz", "2", 9, 70, "DOSE" ) derive_summary_records( adex, dataset_add = adex, filter_add = AVAL > 0, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), + by_vars = get_admiral_option("subject_keys"), set_values_to = exprs( AVAL = mean(AVAL), PARAMCD = "AVERAGE DOSE" @@ -500,17 +500,17 @@ If the average dose should be added as a variable to `ADSL`, consider the following: ```{r} adsl <- tribble( - ~USUBJID, - "1", - "2", - "3" + ~STUDYID, ~USUBJID, + "xyz", "1", + "xyz", "2", + "xyz", "3" ) derive_var_merged_summary( adsl, dataset_add = adex, filter_add = AVAL > 0, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs( AVERDOSE = mean(AVAL) ), @@ -526,20 +526,20 @@ the value of the new variable can be defined by the `missing_values` argument. If the new values should be computed from different parameters of the source dataset, `derive_param_computed()` can be used. The computed value can be specified by the `set_values_to` argument. The values of the source variable for a parameter can be referred to by temporary variables of the form `.`. ```{r} advs <- tribble( - ~USUBJID, ~AVISIT, ~PARAMCD, ~AVAL, ~AVALU, - "1", "BASELINE", "WEIGHT", 32.6, "kg", - "1", "BASELINE", "HEIGHT", 155.4, "cm", - "1", "MONTH 6", "WEIGHT", 33.2, "kg", - "1", "MONTH 6", "HEIGHT", 155.8, "cm", - "2", "BASELINE", "WEIGHT", 44.2, "kg", - "2", "BASELINE", "HEIGHT", 145.3, "cm", - "2", "MONTH 6", "WEIGHT", 42.0, "kg", - "2", "MONTH 6", "HEIGHT", 146.4, "cm" + ~STUDYID, ~USUBJID, ~AVISIT, ~PARAMCD, ~AVAL, ~AVALU, + "xyz", "1", "BASELINE", "WEIGHT", 32.6, "kg", + "xyz", "1", "BASELINE", "HEIGHT", 155.4, "cm", + "xyz", "1", "MONTH 6", "WEIGHT", 33.2, "kg", + "xyz", "1", "MONTH 6", "HEIGHT", 155.8, "cm", + "xyz", "2", "BASELINE", "WEIGHT", 44.2, "kg", + "xyz", "2", "BASELINE", "HEIGHT", 145.3, "cm", + "xyz", "2", "MONTH 6", "WEIGHT", 42.0, "kg", + "xyz", "2", "MONTH 6", "HEIGHT", 146.4, "cm" ) derive_param_computed( advs, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], AVISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT)), parameters = c("WEIGHT", "HEIGHT"), set_values_to = exprs( AVAL = AVAL.WEIGHT / (AVAL.HEIGHT / 100)^2, @@ -555,7 +555,7 @@ example `compute_bmi()` could be used instead of the formula for BMI: ```{r} derive_param_computed( advs, - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]], AVISIT), + by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT)), parameters = c("WEIGHT", "HEIGHT"), set_values_to = exprs( AVAL = compute_bmi(weight = AVAL.WEIGHT, height = AVAL.HEIGHT), diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index da6162b225..b6b82f4e86 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -522,17 +522,17 @@ For example, there can be multiple records present in `ADCM` for a single subjec ``` {r eval=TRUE, echo=TRUE} adcm <- tibble::tribble( - ~USUBJID, ~ASTDTM, ~CMSEQ, ~CMDECOD, ~ATC1CD, ~ATC2CD, ~ATC3CD, ~ATC4CD, - "BP40257-1001", "2013-07-05 UTC", "14", "PARACETAMOL", "N", "N02", "N02B", "N02BE", - "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D10", "D10A", "D10AA", - "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D07", "D07A", "D07AA", - "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "H", "H02", "H02A", "H02AB", - "BP40257-1002", "2012-12-15 UTC", "19", "SPIRONOLACTONE", "C", "C03", "C03D", "C03DA" + ~STUDYID, ~USUBJID, ~ASTDTM, ~CMSEQ, ~CMDECOD, ~ATC1CD, ~ATC2CD, ~ATC3CD, ~ATC4CD, + "xyz112", "BP40257-1001", "2013-07-05 UTC", "14", "PARACETAMOL", "N", "N02", "N02B", "N02BE", + "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D10", "D10A", "D10AA", + "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D07", "D07A", "D07AA", + "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "H", "H02", "H02A", "H02AB", + "xyz112", "BP40257-1002", "2012-12-15 UTC", "19", "SPIRONOLACTONE", "C", "C03", "C03D", "C03DA" ) adcm_aseq <- adcm %>% derive_var_obs_number( - by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), + by_vars = get_admiral_option("subject_keys"), order = exprs(ASTDTM, CMSEQ, ATC1CD, ATC2CD, ATC3CD, ATC4CD), new_var = ASEQ, check_type = "error" From d0d9aa17e474d94ab069537548f960ccc19a0565 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Tue, 4 Jun 2024 16:06:08 -0400 Subject: [PATCH 14/22] ran styler_file() on changed vignettes in this commit --- vignettes/bds_finding.Rmd | 2 +- vignettes/generic.Rmd | 124 +++++++++++++++++++------------------- vignettes/occds.Rmd | 12 ++-- 3 files changed, 69 insertions(+), 69 deletions(-) diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index 12f37c3a58..3285b4bd12 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -898,7 +898,7 @@ advs <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"),exprs(RFSTDTC, RFENDTC, DTHDTC, DTHFL, AGE, AGEU)), + display_vars = c(get_admiral_option("subject_keys"), exprs(RFSTDTC, RFENDTC, DTHDTC, DTHFL, AGE, AGEU)), filter = USUBJID == "01-701-1015" ) ``` diff --git a/vignettes/generic.Rmd b/vignettes/generic.Rmd index b2a75ce855..7c0226bea9 100644 --- a/vignettes/generic.Rmd +++ b/vignettes/generic.Rmd @@ -202,18 +202,18 @@ baseline weight is added to `ADSL`. ```{r} adsl <- tribble( ~STUDYID, ~USUBJID, - "xyz", "1", - "xyz", "2", - "xyz", "3" + "xyz", "1", + "xyz", "2", + "xyz", "3" ) advs <- tribble( -~STUDYID, ~USUBJID, ~PARAMCD, ~AVISIT, ~ABLFL, ~AVAL, ~AVALU, - "xyz" ,"1", "WEIGHT", "BASELINE", "Y", 58.7, "kg", - "xyz", "1", "HEIGHT", "BASELINE", "Y", 169.2, "cm", - "xyz", "1", "WEIGHT", "WEEK 3", NA, 59.3, "kg", - "xyz", "2", "WEIGHT", "BASELINE", "Y", 72.5, "kg", - "xyz", "2", "WEIGHT", "WEKK 3", NA, 71.9, "kg", + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVISIT, ~ABLFL, ~AVAL, ~AVALU, + "xyz", "1", "WEIGHT", "BASELINE", "Y", 58.7, "kg", + "xyz", "1", "HEIGHT", "BASELINE", "Y", 169.2, "cm", + "xyz", "1", "WEIGHT", "WEEK 3", NA, 59.3, "kg", + "xyz", "2", "WEIGHT", "BASELINE", "Y", 72.5, "kg", + "xyz", "2", "WEIGHT", "WEKK 3", NA, 71.9, "kg", ) derive_vars_merged( @@ -234,19 +234,19 @@ Below the day of the last valid dose is added to `ADSL`. ```{r} adsl <- tribble( ~STUDYID, ~USUBJID, - "xyz", "1", - "xyz", "2", - "xyz", "3" + "xyz", "1", + "xyz", "2", + "xyz", "3" ) ex <- tribble( ~STUDYID, ~USUBJID, ~EXSTDY, ~EXDOSE, - "xyz", "1", 1, 50, - "xyz", "1", 7, 70, - "xyz", "1", 14, 0, - "xyz", "2", 1, 75, - "xyz", "2", 9, 70 - ) + "xyz", "1", 1, 50, + "xyz", "1", 7, 70, + "xyz", "1", 14, 0, + "xyz", "2", 1, 75, + "xyz", "2", 9, 70 +) derive_vars_merged( adsl, @@ -269,19 +269,19 @@ dose of the last study treatment before an adverse event: ```{r} adae <- tribble( -~STUDYID, ~USUBJID, ~ASTDY, ~AESEQ, - "xyz", "1", 3, 1, - "xyz", "1", 3, 2, - "xyz", "1", 15, 3 + ~STUDYID, ~USUBJID, ~ASTDY, ~AESEQ, + "xyz", "1", 3, 1, + "xyz", "1", 3, 2, + "xyz", "1", 15, 3 ) ex <- tribble( -~STUDYID, ~USUBJID, ~EXSTDY, ~EXDOSE, - "xyz", "1", 1, 50, - "xyz", "1", 7, 70, - "xyz", "1", 14, 0, - "xyz", "2", 1, 75, - "xyz", "2", 9, 70 + ~STUDYID, ~USUBJID, ~EXSTDY, ~EXDOSE, + "xyz", "1", 1, 50, + "xyz", "1", 7, 70, + "xyz", "1", 14, 0, + "xyz", "2", 1, 75, + "xyz", "2", 9, 70 ) derive_vars_joined( @@ -319,16 +319,16 @@ where `"HIGH"` results should be flagged which are confirmed by a second ```{r} adlb <- tribble( ~STUDYID, ~USUBJID, ~PARAMCD, ~ADY, ~ANRIND, - "xyz", "1", "AST", 1, "HIGH", - "xyz", "1", "AST", 7, "HIGH", - "xyz", "1", "AST", 14, "NORMAL", - "xyz", "1", "ALT", 1, "HIGH", - "xyz", "1", "ALT", 7, "NORMAL", - "xyz", "1", "ALT", 14, "HIGH", - "xyz", "2", "AST", 1, "HIGH", - "xyz", "2", "AST", 15, "HIGH", - "xyz", "2", "AST", 22, "NORMAL", - "xyz", "2", "ALT", 1, "HIGH" + "xyz", "1", "AST", 1, "HIGH", + "xyz", "1", "AST", 7, "HIGH", + "xyz", "1", "AST", 14, "NORMAL", + "xyz", "1", "ALT", 1, "HIGH", + "xyz", "1", "ALT", 7, "NORMAL", + "xyz", "1", "ALT", 14, "HIGH", + "xyz", "2", "AST", 1, "HIGH", + "xyz", "2", "AST", 15, "HIGH", + "xyz", "2", "AST", 22, "NORMAL", + "xyz", "2", "ALT", 1, "HIGH" ) derive_var_joined_exist_flag( @@ -410,11 +410,11 @@ Consider for example the following derivation of a last visit flag. The record with `AVISITN == NA` is flagged because `NA` is sorted to the end. ```{r} advs <- tribble( - ~STUDYID, ~USUBJID, ~PARAMCD, ~AVISITN, ~AVAL, - "xyz", "1", "WEIGHT", NA, 62.1, - "xyz", "1", "WEIGHT", 1, 62.3, - "xyz", "1", "WEIGHT", 2, 62.5, - "xyz", "1", "WEIGHT", 3, 62.4 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVISITN, ~AVAL, + "xyz", "1", "WEIGHT", NA, 62.1, + "xyz", "1", "WEIGHT", 1, 62.3, + "xyz", "1", "WEIGHT", 2, 62.5, + "xyz", "1", "WEIGHT", 3, 62.4 ) derive_var_extreme_flag( @@ -473,12 +473,12 @@ concatenation, ..., the functions `derive_summary_records()` or parameter to `ADEX` can be done by the following: ```{r} adex <- tribble( - ~STUDYID, ~USUBJID, ~ASTDY, ~AVAL, ~PARAMCD, - "xyz", "1", 1, 50, "DOSE", - "xyz", "1", 7, 70, "DOSE", - "xyz", "1", 14, 0, "DOSE", - "xyz", "2", 1, 75, "DOSE", - "xyz", "2", 9, 70, "DOSE" + ~STUDYID, ~USUBJID, ~ASTDY, ~AVAL, ~PARAMCD, + "xyz", "1", 1, 50, "DOSE", + "xyz", "1", 7, 70, "DOSE", + "xyz", "1", 14, 0, "DOSE", + "xyz", "2", 1, 75, "DOSE", + "xyz", "2", 9, 70, "DOSE" ) derive_summary_records( @@ -500,10 +500,10 @@ If the average dose should be added as a variable to `ADSL`, consider the following: ```{r} adsl <- tribble( - ~STUDYID, ~USUBJID, - "xyz", "1", - "xyz", "2", - "xyz", "3" + ~STUDYID, ~USUBJID, + "xyz", "1", + "xyz", "2", + "xyz", "3" ) derive_var_merged_summary( @@ -526,15 +526,15 @@ the value of the new variable can be defined by the `missing_values` argument. If the new values should be computed from different parameters of the source dataset, `derive_param_computed()` can be used. The computed value can be specified by the `set_values_to` argument. The values of the source variable for a parameter can be referred to by temporary variables of the form `.`. ```{r} advs <- tribble( - ~STUDYID, ~USUBJID, ~AVISIT, ~PARAMCD, ~AVAL, ~AVALU, - "xyz", "1", "BASELINE", "WEIGHT", 32.6, "kg", - "xyz", "1", "BASELINE", "HEIGHT", 155.4, "cm", - "xyz", "1", "MONTH 6", "WEIGHT", 33.2, "kg", - "xyz", "1", "MONTH 6", "HEIGHT", 155.8, "cm", - "xyz", "2", "BASELINE", "WEIGHT", 44.2, "kg", - "xyz", "2", "BASELINE", "HEIGHT", 145.3, "cm", - "xyz", "2", "MONTH 6", "WEIGHT", 42.0, "kg", - "xyz", "2", "MONTH 6", "HEIGHT", 146.4, "cm" + ~STUDYID, ~USUBJID, ~AVISIT, ~PARAMCD, ~AVAL, ~AVALU, + "xyz", "1", "BASELINE", "WEIGHT", 32.6, "kg", + "xyz", "1", "BASELINE", "HEIGHT", 155.4, "cm", + "xyz", "1", "MONTH 6", "WEIGHT", 33.2, "kg", + "xyz", "1", "MONTH 6", "HEIGHT", 155.8, "cm", + "xyz", "2", "BASELINE", "WEIGHT", 44.2, "kg", + "xyz", "2", "BASELINE", "HEIGHT", 145.3, "cm", + "xyz", "2", "MONTH 6", "WEIGHT", 42.0, "kg", + "xyz", "2", "MONTH 6", "HEIGHT", 146.4, "cm" ) derive_param_computed( diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index b6b82f4e86..0b4e7b4eb3 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -522,12 +522,12 @@ For example, there can be multiple records present in `ADCM` for a single subjec ``` {r eval=TRUE, echo=TRUE} adcm <- tibble::tribble( - ~STUDYID, ~USUBJID, ~ASTDTM, ~CMSEQ, ~CMDECOD, ~ATC1CD, ~ATC2CD, ~ATC3CD, ~ATC4CD, - "xyz112", "BP40257-1001", "2013-07-05 UTC", "14", "PARACETAMOL", "N", "N02", "N02B", "N02BE", - "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D10", "D10A", "D10AA", - "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D07", "D07A", "D07AA", - "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "H", "H02", "H02A", "H02AB", - "xyz112", "BP40257-1002", "2012-12-15 UTC", "19", "SPIRONOLACTONE", "C", "C03", "C03D", "C03DA" + ~STUDYID, ~USUBJID, ~ASTDTM, ~CMSEQ, ~CMDECOD, ~ATC1CD, ~ATC2CD, ~ATC3CD, ~ATC4CD, + "xyz112", "BP40257-1001", "2013-07-05 UTC", "14", "PARACETAMOL", "N", "N02", "N02B", "N02BE", + "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D10", "D10A", "D10AA", + "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D07", "D07A", "D07AA", + "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "H", "H02", "H02A", "H02AB", + "xyz112", "BP40257-1002", "2012-12-15 UTC", "19", "SPIRONOLACTONE", "C", "C03", "C03D", "C03DA" ) adcm_aseq <- adcm %>% From badf8c91208def4788eb45347e8902d4c18aa06a Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Tue, 4 Jun 2024 16:12:11 -0400 Subject: [PATCH 15/22] ran styler_file() on changed vignettes in this commit. Reverted get_admiral_options to USUBJID, STUDYID inside of select() functions to see if thats why scripts couldnt be executed --- inst/templates/ad_adlbhy.R | 6 +++--- inst/templates/ad_adppk.R | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index 963f6d1a45..26dac22f08 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -43,7 +43,7 @@ adlb_annotated <- adlb %>% ) ) ) %>% - select(get_admiral_option("subject_keys"), TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) + select(USUBJID, STUDYID, TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) # Subset Datasets altast_records <- adlb_annotated %>% @@ -65,11 +65,11 @@ hylaw_records <- derive_vars_joined( ) hylaw_records_pts_visits <- hylaw_records %>% - select(get_admiral_option("subject_keys"), TRT01A) %>% # add AVISIT, ADT for by visit + select(USUBJID, STUDYID, TRT01A) %>% # add AVISIT, ADT for by visit distinct() hylaw_records_fls <- hylaw_records %>% - select(get_admiral_option("subject_keys"), TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit + select(USUBJID, STUDYID, TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit distinct() # Create new parameters based on records that present potential case diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index 2c57b3da20..c066c099fc 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -403,7 +403,7 @@ covar <- adsl %>% ) ) %>% select( - get_admiral_option("subject_keys"), STUDYIDN, SITEID, SITEIDN, USUBJIDN, + USUBJID, STUDYID, STUDYIDN, SITEID, SITEIDN, USUBJIDN, SUBJID, SUBJIDN, AGE, SEX, SEXN, COHORT, COHORTC, ROUTE, ROUTEN, RACE, RACEN, ETHNIC, ETHNICN, FORM, FORMN, COUNTRY, COUNTRYN, COUNTRYL ) @@ -413,7 +413,7 @@ covar <- adsl %>% labsbl <- lb %>% filter(LBBLFL == "Y" & LBTESTCD %in% c("CREAT", "ALT", "AST", "BILI")) %>% mutate(LBTESTCDB = paste0(LBTESTCD, "BL")) %>% - select(get_admiral_option("subject_keys"), LBTESTCDB, LBSTRESN) + select(USUBJID, STUDYID, LBTESTCDB, LBSTRESN) covar_vslb <- covar %>% derive_vars_merged( From 27dc85df0961de15c606cc42082df64bba83e16a Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Tue, 4 Jun 2024 18:00:07 -0400 Subject: [PATCH 16/22] made changes to !!!adsl_vars to remove exclamations and bring it outside the exprs() argument when defining by_vars --- inst/templates/ad_adeg.R | 10 +++++----- inst/templates/ad_adex.R | 4 ++-- inst/templates/ad_adlb.R | 4 ++-- inst/templates/ad_advs.R | 8 ++++---- vignettes/bds_finding.Rmd | 6 +++--- 5 files changed, 16 insertions(+), 16 deletions(-) diff --git a/inst/templates/ad_adeg.R b/inst/templates/ad_adeg.R index 4101294913..4d91a2f411 100644 --- a/inst/templates/ad_adeg.R +++ b/inst/templates/ad_adeg.R @@ -137,7 +137,7 @@ adeg <- adeg %>% # Derive RRR derive_param_rr( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), set_values_to = exprs(PARAMCD = "RRR"), hr_code = "HR", get_unit_expr = tolower(EGSTRESU), @@ -145,7 +145,7 @@ adeg <- adeg %>% ) %>% # Derive QTCBR derive_param_qtc( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), method = "Bazett", set_values_to = exprs(PARAMCD = "QTCBR"), qt_code = "QT", @@ -155,7 +155,7 @@ adeg <- adeg %>% ) %>% # Derive QTCFR derive_param_qtc( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), method = "Fridericia", set_values_to = exprs(PARAMCD = "QTCFR"), qt_code = "QT", @@ -165,7 +165,7 @@ adeg <- adeg %>% ) %>% # Derive QTLCR derive_param_qtc( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, EGTPT, EGTPTNUM, ADTM, ADY)), method = "Sagie", set_values_to = exprs(PARAMCD = "QTLCR"), qt_code = "QT", @@ -202,7 +202,7 @@ adeg <- adeg %>% adeg <- adeg %>% derive_summary_records( dataset_add = adeg, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(PARAMCD, AVISITN, AVISIT, ADT)), filter_add = dplyr::n() >= 2 & PARAMCD != "EGINTP", set_values_to = exprs( AVAL = mean(AVAL, na.rm = TRUE), diff --git a/inst/templates/ad_adex.R b/inst/templates/ad_adex.R index c81b83b481..7158e6bb02 100644 --- a/inst/templates/ad_adex.R +++ b/inst/templates/ad_adex.R @@ -226,7 +226,7 @@ adex <- adex %>% ) ), by_vars = c( - get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT) + get_admiral_option("subject_keys"), adsl_vars, exprs(PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT) ) ) %>% # Overall/W2-24 Average daily dose @@ -249,7 +249,7 @@ adex <- adex %>% ) ), by_vars = c( - get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT) + get_admiral_option("subject_keys"), adsl_vars, exprs(PARCAT1, ASTDTM, ASTDT, AENDTM, AENDT) ) ) diff --git a/inst/templates/ad_adlb.R b/inst/templates/ad_adlb.R index f2974894f0..052cfe4caa 100644 --- a/inst/templates/ad_adlb.R +++ b/inst/templates/ad_adlb.R @@ -131,7 +131,7 @@ adlb <- adlb %>% adlb <- adlb %>% # Derive absolute Basophils derive_param_wbc_abs( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(DOMAIN, VISIT, VISITNUM, ADT, ADY)), set_values_to = exprs( PARAMCD = "BASO", PARAM = "Basophils Abs (10^9/L)", @@ -144,7 +144,7 @@ adlb <- adlb %>% ) %>% # Derive absolute Lymphocytes derive_param_wbc_abs( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, DOMAIN, VISIT, VISITNUM, ADT, ADY)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(DOMAIN, VISIT, VISITNUM, ADT, ADY)), set_values_to = exprs( PARAMCD = "LYMPH", PARAM = "Lymphocytes Abs (10^9/L)", diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index 8ce7e9aeb7..592cae1396 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -110,14 +110,14 @@ advs <- advs %>% # Derive Mean Arterial Pressure derive_param_map( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) ) %>% # Derive Body Surface Area derive_param_bsa( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, @@ -126,7 +126,7 @@ advs <- advs %>% ) %>% # Derive Body Mass Index derive_param_bmi( - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), @@ -158,7 +158,7 @@ advs <- advs %>% advs <- advs %>% derive_summary_records( dataset_add = advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT, ADY)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(PARAMCD, AVISITN, AVISIT, ADT, ADY)), filter_add = !is.na(AVAL), set_values_to = exprs( AVAL = mean(AVAL), diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index 3285b4bd12..7f7e4fc092 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -293,7 +293,7 @@ Example 3 in section below [Derive New Rows](#additional) for alternative way of ```{r eval=TRUE} advs <- derive_param_map( advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) @@ -314,7 +314,7 @@ Likewise, function call below, to create parameter `Body Surface Area` (BSA) and ```{r eval=TRUE} advs <- derive_param_bsa( advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, @@ -324,7 +324,7 @@ advs <- derive_param_bsa( advs <- derive_param_bmi( advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(!!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), From 8573bdc083b4c429cf4fd1d1bf622be0b2f02992 Mon Sep 17 00:00:00 2001 From: ProfessorP Date: Thu, 6 Jun 2024 11:08:58 -0400 Subject: [PATCH 17/22] addressed additional instances where get_admiral_options should be used, tested rmd and testthat files, but more test files should be addressed and tested where USUBJID and STUDYID are used. --- .github/workflows/R-CMD-check.yaml | 60 + ADaM.Rproj | 19 + NAMESPACE | 86 + R/ADaM-package.R | 5 + R/addin_format_testthat.R | 107 + R/admiraldev-package.R | 26 + R/admiraldev_environment.R | 23 + R/assertions.R | 1925 +++++++++++++++++ R/call_derivation.R | 4 +- R/compat_friendly_type.R | 187 ++ R/create_single_dose_dataset.R | 13 +- R/dataset_vignette.R | 85 + R/derive_advs_params.R | 6 +- R/derive_extreme_event.R | 8 +- R/derive_extreme_records.R | 10 +- R/derive_joined.R | 8 +- R/derive_locf_records.R | 2 +- R/derive_merged.R | 24 +- R/derive_param_computed.R | 4 +- R/derive_param_exposure.R | 6 +- R/derive_param_extreme_record.R | 2 +- R/derive_var_extreme_flag.R | 4 +- R/derive_var_joined_exist_flag.R | 10 +- R/derive_var_merged_ef_msrc.R | 2 +- R/derive_var_relative_flag.R | 6 +- R/derive_vars_computed.R | 2 +- R/derive_vars_extreme_event.R | 4 +- R/dev_utilities.R | 208 ++ R/duplicates.R | 6 +- R/event.R | 4 +- R/expect_dfs_equal.R | 59 + R/filter_exist.R | 4 +- R/filter_extreme.R | 4 +- R/filter_joined.R | 10 +- R/filter_relative.R | 8 +- R/get.R | 140 ++ R/get_flagged_records.R | 4 +- R/global.R | 10 + R/hello.R | 9 + R/is.R | 60 + R/joins.R | 42 + R/period_dataset.R | 7 +- R/process_set_values_to.R | 113 + R/quo.R | 158 ++ R/quote.R | 95 + R/restrict_derivation.R | 4 +- R/tmp_vars.R | 115 + R/utils.R | 11 + R/warnings.R | 200 ++ R/what.R | 49 + README.Rmd | 67 + admiraldev.Rproj | 22 + inst/rstudio/addins.dcf | 4 + inst/templates/ad_adae.R | 8 +- inst/templates/ad_adlbhy.R | 12 +- inst/templates/ad_adpc.R | 41 +- inst/templates/ad_adppk.R | 57 +- inst/templates/ad_advs.R | 45 +- inst/templates/ad_adxx.R | 9 + inst/www/style.css | 16 + man/add_suffix_to_vars.Rd | 43 + man/admiral-package.Rd | 28 +- man/arg_name.Rd | 31 + man/assert_atomic_vector.Rd | 86 + man/assert_character_scalar.Rd | 113 + man/assert_character_vector.Rd | 100 + man/assert_data_frame.Rd | 106 + man/assert_date_var.Rd | 97 + man/assert_date_vector.Rd | 87 + man/assert_expr.Rd | 77 + man/assert_expr_list.Rd | 94 + man/assert_filter_cond.Rd | 99 + man/assert_function.Rd | 103 + man/assert_function_param.Rd | 29 + man/assert_has_variables.Rd | 32 + man/assert_integer_scalar.Rd | 95 + man/assert_list_element.Rd | 98 + man/assert_list_of.Rd | 101 + man/assert_logical_scalar.Rd | 91 + man/assert_named.Rd | 88 + man/assert_named_exprs.Rd | 30 + man/assert_numeric_vector.Rd | 86 + man/assert_one_to_one.Rd | 108 + man/assert_param_does_not_exist.Rd | 87 + man/assert_s3_class.Rd | 91 + man/assert_same_type.Rd | 74 + man/assert_symbol.Rd | 98 + man/assert_unit.Rd | 95 + man/assert_vars.Rd | 105 + man/assert_varval_list.Rd | 100 + man/backquote.Rd | 25 + man/call_derivation.Rd | 2 +- man/call_user_fun.Rd | 3 +- man/contains_vars.Rd | 33 + man/convert_dtm_to_dtc.Rd | 33 + man/create_single_dose_dataset.Rd | 14 +- man/dataset_vignette.Rd | 33 + man/derive_extreme_event.Rd | 8 +- man/derive_extreme_records.Rd | 10 +- man/derive_locf_records.Rd | 2 +- man/derive_param_bmi.Rd | 2 +- man/derive_param_bsa.Rd | 4 +- man/derive_param_computed.Rd | 4 +- man/derive_param_exposure.Rd | 6 +- man/derive_param_extreme_record.Rd | 2 +- man/derive_var_extreme_flag.Rd | 4 +- man/derive_var_joined_exist_flag.Rd | 10 +- man/derive_var_merged_ef_msrc.Rd | 2 +- man/derive_var_merged_exist_flag.Rd | 8 +- man/derive_var_merged_summary.Rd | 2 +- man/derive_var_relative_flag.Rd | 6 +- man/derive_vars_computed.Rd | 2 +- man/derive_vars_extreme_event.Rd | 4 +- man/derive_vars_joined.Rd | 8 +- man/derive_vars_merged.Rd | 14 +- man/derive_vars_period.Rd | 7 +- man/dquote.Rd | 27 + man/enumerate.Rd | 36 + man/event_joined.Rd | 4 +- man/expect_dfs_equal.Rd | 59 + man/expr_c.Rd | 25 + man/extract_duplicate_records.Rd | 2 +- man/extract_unit.Rd | 3 +- man/extract_vars.Rd | 39 + man/figures/admiral_contribution_model.png | Bin 0 -> 167331 bytes man/filter_exist.Rd | 2 +- man/filter_extreme.Rd | 4 +- man/filter_if.Rd | 34 + man/filter_joined.Rd | 10 +- man/filter_not_exist.Rd | 2 +- man/filter_relative.Rd | 8 +- man/friendly_type_of.Rd | 42 + man/get_constant_vars.Rd | 36 + man/get_dataset.Rd | 45 + man/get_duplicates.Rd | 30 + man/get_duplicates_dataset.Rd | 2 +- man/get_flagged_records.Rd | 7 +- man/get_new_tmp_var.Rd | 41 + man/get_not_mapped.Rd | 3 +- man/get_source_vars.Rd | 27 + man/get_vars_query.Rd | 3 +- man/grapes-notin-grapes.Rd | 34 + man/grapes-or-grapes.Rd | 38 + man/hello.Rd | 11 + man/is_auto.Rd | 25 + man/is_order_vars.Rd | 24 + man/is_valid_dtc.Rd | 24 + man/joins.Rd | 35 + man/params.Rd | 2 +- man/process_set_values_to.Rd | 69 + man/remove_tmp_vars.Rd | 46 + man/replace_symbol_in_expr.Rd | 41 + man/replace_values_by_names.Rd | 31 + man/restrict_derivation.Rd | 4 +- man/signal_duplicate_records.Rd | 2 +- man/squote.Rd | 25 + man/suppress_warning.Rd | 32 + man/use_ad_template.Rd | 2 +- man/valid_time_units.Rd | 28 + man/vars2chr.Rd | 39 + man/warn_if_incomplete_dtc.Rd | 28 + man/warn_if_inconsistent_list.Rd | 51 + man/warn_if_invalid_dtc.Rd | 37 + man/warn_if_vars_exist.Rd | 42 + man/what_is_it.Rd | 25 + tests/testthat/_snaps/assertions.md | 447 ++++ tests/testthat/_snaps/derive_extreme_event.md | 6 +- .../testthat/_snaps/process_set_values_to.md | 24 + tests/testthat/_snaps/tmp_vars.md | 8 + tests/testthat/_snaps/warnings.md | 34 + tests/testthat/test-addin_format_testthat.R | 49 + tests/testthat/test-assertions.R | 1562 +++++++++++++ tests/testthat/test-compat_friendly_type.R | 102 + tests/testthat/test-dataset_vignette.R | 48 + tests/testthat/test-derive_extreme_event.R | 250 +-- tests/testthat/test-derive_extreme_records.R | 96 +- tests/testthat/test-derive_joined.R | 2 +- tests/testthat/test-derive_param_tte.R | 4 +- .../testthat/test-derive_vars_extreme_event.R | 2 +- tests/testthat/test-dev_utilities.R | 105 + tests/testthat/test-get.R | 87 + tests/testthat/test-is.R | 26 + tests/testthat/test-process_set_values_to.R | 78 + tests/testthat/test-quo.R | 140 ++ tests/testthat/test-quote.R | 24 + tests/testthat/test-test_helpers.R | 11 + tests/testthat/test-tmp_vars.R | 66 + tests/testthat/test-warnings.R | 77 + tests/testthat/test-what.R | 44 + vignettes/admiral.Rmd | 18 +- vignettes/admiraldev.Rmd | 60 + vignettes/bds_exposure.Rmd | 83 +- vignettes/bds_finding.Rmd | 93 +- vignettes/concepts_conventions.Rmd | 36 +- vignettes/dummy_issue.png | Bin 0 -> 162776 bytes vignettes/git_usage.Rmd | 196 ++ vignettes/github_committ.png | Bin 0 -> 124769 bytes vignettes/github_conflicts.png | Bin 0 -> 62675 bytes vignettes/github_create_pr.png | Bin 0 -> 42483 bytes vignettes/github_done.png | Bin 0 -> 127143 bytes vignettes/github_feature_branch.png | Bin 0 -> 56794 bytes vignettes/github_linked_issues.png | Bin 0 -> 125293 bytes vignettes/github_linked_issues_dark.png | Bin 0 -> 154909 bytes vignettes/github_sprint_done.png | Bin 0 -> 113868 bytes vignettes/how-to-get-started.Rmd | 65 + vignettes/hys_law.Rmd | 6 +- vignettes/occds.Rmd | 75 +- vignettes/package_extensions.Rmd | 115 + vignettes/pk_adnca.Rmd | 12 +- vignettes/pr_review_actions.png | Bin 0 -> 75630 bytes vignettes/pr_review_checkbox.png | Bin 0 -> 130861 bytes vignettes/pr_review_checklist.png | Bin 0 -> 106191 bytes vignettes/pr_review_guidance.Rmd | 102 + vignettes/programming_strategy.Rmd | 762 +++++++ vignettes/project_board.png | Bin 0 -> 476697 bytes vignettes/questionnaires.Rmd | 20 +- vignettes/rcmd_issues.Rmd | 104 + vignettes/release_strategy.Rmd | 169 ++ vignettes/test_data_guidance.Rmd | 20 + vignettes/unit_test_format_tests.png | Bin 0 -> 54985 bytes vignettes/unit_test_guidance.Rmd | 315 +++ vignettes/unit_test_guidance.png | Bin 0 -> 41600 bytes vignettes/unit_test_toc.png | Bin 0 -> 263153 bytes vignettes/visits_periods.Rmd | 4 +- vignettes/writing_vignettes.Rmd | 257 +++ 225 files changed, 13323 insertions(+), 626 deletions(-) create mode 100644 .github/workflows/R-CMD-check.yaml create mode 100644 ADaM.Rproj create mode 100644 R/ADaM-package.R create mode 100644 R/addin_format_testthat.R create mode 100644 R/admiraldev-package.R create mode 100644 R/admiraldev_environment.R create mode 100644 R/assertions.R create mode 100644 R/compat_friendly_type.R create mode 100644 R/dataset_vignette.R create mode 100644 R/dev_utilities.R create mode 100644 R/expect_dfs_equal.R create mode 100644 R/get.R create mode 100644 R/global.R create mode 100644 R/hello.R create mode 100644 R/is.R create mode 100644 R/joins.R create mode 100644 R/process_set_values_to.R create mode 100644 R/quo.R create mode 100644 R/quote.R create mode 100644 R/tmp_vars.R create mode 100644 R/utils.R create mode 100644 R/warnings.R create mode 100644 R/what.R create mode 100644 README.Rmd create mode 100644 admiraldev.Rproj create mode 100644 inst/rstudio/addins.dcf create mode 100644 inst/templates/ad_adxx.R create mode 100644 inst/www/style.css create mode 100644 man/add_suffix_to_vars.Rd create mode 100644 man/arg_name.Rd create mode 100644 man/assert_atomic_vector.Rd create mode 100644 man/assert_character_scalar.Rd create mode 100644 man/assert_character_vector.Rd create mode 100644 man/assert_data_frame.Rd create mode 100644 man/assert_date_var.Rd create mode 100644 man/assert_date_vector.Rd create mode 100644 man/assert_expr.Rd create mode 100644 man/assert_expr_list.Rd create mode 100644 man/assert_filter_cond.Rd create mode 100644 man/assert_function.Rd create mode 100644 man/assert_function_param.Rd create mode 100644 man/assert_has_variables.Rd create mode 100644 man/assert_integer_scalar.Rd create mode 100644 man/assert_list_element.Rd create mode 100644 man/assert_list_of.Rd create mode 100644 man/assert_logical_scalar.Rd create mode 100644 man/assert_named.Rd create mode 100644 man/assert_named_exprs.Rd create mode 100644 man/assert_numeric_vector.Rd create mode 100644 man/assert_one_to_one.Rd create mode 100644 man/assert_param_does_not_exist.Rd create mode 100644 man/assert_s3_class.Rd create mode 100644 man/assert_same_type.Rd create mode 100644 man/assert_symbol.Rd create mode 100644 man/assert_unit.Rd create mode 100644 man/assert_vars.Rd create mode 100644 man/assert_varval_list.Rd create mode 100644 man/backquote.Rd create mode 100644 man/contains_vars.Rd create mode 100644 man/convert_dtm_to_dtc.Rd create mode 100644 man/dataset_vignette.Rd create mode 100644 man/dquote.Rd create mode 100644 man/enumerate.Rd create mode 100644 man/expect_dfs_equal.Rd create mode 100644 man/expr_c.Rd create mode 100644 man/extract_vars.Rd create mode 100644 man/figures/admiral_contribution_model.png create mode 100644 man/filter_if.Rd create mode 100644 man/friendly_type_of.Rd create mode 100644 man/get_constant_vars.Rd create mode 100644 man/get_dataset.Rd create mode 100644 man/get_duplicates.Rd create mode 100644 man/get_new_tmp_var.Rd create mode 100644 man/get_source_vars.Rd create mode 100644 man/grapes-notin-grapes.Rd create mode 100644 man/grapes-or-grapes.Rd create mode 100644 man/hello.Rd create mode 100644 man/is_auto.Rd create mode 100644 man/is_order_vars.Rd create mode 100644 man/is_valid_dtc.Rd create mode 100644 man/joins.Rd create mode 100644 man/process_set_values_to.Rd create mode 100644 man/remove_tmp_vars.Rd create mode 100644 man/replace_symbol_in_expr.Rd create mode 100644 man/replace_values_by_names.Rd create mode 100644 man/squote.Rd create mode 100644 man/suppress_warning.Rd create mode 100644 man/valid_time_units.Rd create mode 100644 man/vars2chr.Rd create mode 100644 man/warn_if_incomplete_dtc.Rd create mode 100644 man/warn_if_inconsistent_list.Rd create mode 100644 man/warn_if_invalid_dtc.Rd create mode 100644 man/warn_if_vars_exist.Rd create mode 100644 man/what_is_it.Rd create mode 100644 tests/testthat/_snaps/assertions.md create mode 100644 tests/testthat/_snaps/process_set_values_to.md create mode 100644 tests/testthat/_snaps/tmp_vars.md create mode 100644 tests/testthat/_snaps/warnings.md create mode 100644 tests/testthat/test-addin_format_testthat.R create mode 100644 tests/testthat/test-assertions.R create mode 100644 tests/testthat/test-compat_friendly_type.R create mode 100644 tests/testthat/test-dataset_vignette.R create mode 100644 tests/testthat/test-dev_utilities.R create mode 100644 tests/testthat/test-get.R create mode 100644 tests/testthat/test-is.R create mode 100644 tests/testthat/test-process_set_values_to.R create mode 100644 tests/testthat/test-quo.R create mode 100644 tests/testthat/test-quote.R create mode 100644 tests/testthat/test-test_helpers.R create mode 100644 tests/testthat/test-tmp_vars.R create mode 100644 tests/testthat/test-warnings.R create mode 100644 tests/testthat/test-what.R create mode 100644 vignettes/admiraldev.Rmd create mode 100644 vignettes/dummy_issue.png create mode 100644 vignettes/git_usage.Rmd create mode 100644 vignettes/github_committ.png create mode 100644 vignettes/github_conflicts.png create mode 100644 vignettes/github_create_pr.png create mode 100644 vignettes/github_done.png create mode 100644 vignettes/github_feature_branch.png create mode 100644 vignettes/github_linked_issues.png create mode 100644 vignettes/github_linked_issues_dark.png create mode 100644 vignettes/github_sprint_done.png create mode 100644 vignettes/how-to-get-started.Rmd create mode 100644 vignettes/package_extensions.Rmd create mode 100644 vignettes/pr_review_actions.png create mode 100644 vignettes/pr_review_checkbox.png create mode 100644 vignettes/pr_review_checklist.png create mode 100644 vignettes/pr_review_guidance.Rmd create mode 100644 vignettes/programming_strategy.Rmd create mode 100644 vignettes/project_board.png create mode 100644 vignettes/rcmd_issues.Rmd create mode 100644 vignettes/release_strategy.Rmd create mode 100644 vignettes/test_data_guidance.Rmd create mode 100644 vignettes/unit_test_format_tests.png create mode 100644 vignettes/unit_test_guidance.Rmd create mode 100644 vignettes/unit_test_guidance.png create mode 100644 vignettes/unit_test_toc.png create mode 100644 vignettes/writing_vignettes.Rmd diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/R-CMD-check.yaml new file mode 100644 index 0000000000..1c85c15a43 --- /dev/null +++ b/.github/workflows/R-CMD-check.yaml @@ -0,0 +1,60 @@ +# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples +# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help +# +# NOTE: This workflow is overkill for most R packages and +# check-standard.yaml is likely a better choice. +# usethis::use_github_action("check-standard") will install it. +on: + push: + branches: [main, master] + pull_request: + branches: [main, master] + +name: R-CMD-check + +jobs: + R-CMD-check: + runs-on: ${{ matrix.config.os }} + + name: ${{ matrix.config.os }} (${{ matrix.config.r }}) + + strategy: + fail-fast: false + matrix: + config: + # - {os: macos-latest, r: 'release'} + + # - {os: windows-latest, r: 'release'} + # use 4.1 to check with rtools40's older compiler + # - {os: windows-latest, r: '4.1'} + + # - {os: ubuntu-latest, r: 'devel', http-user-agent: 'release'} + - {os: ubuntu-latest, r: 'release'} + # - {os: ubuntu-latest, r: 'oldrel-1'} + # - {os: ubuntu-latest, r: 'oldrel-2'} + # - {os: ubuntu-latest, r: 'oldrel-3'} + # - {os: ubuntu-latest, r: 'oldrel-4'} + + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + R_KEEP_PKG_SOURCE: yes + + steps: + - uses: actions/checkout@v3 + + - uses: r-lib/actions/setup-pandoc@v2 + + - uses: r-lib/actions/setup-r@v2 + with: + r-version: ${{ matrix.config.r }} + http-user-agent: ${{ matrix.config.http-user-agent }} + use-public-rspm: true + + - uses: r-lib/actions/setup-r-dependencies@v2 + with: + extra-packages: any::rcmdcheck + needs: check + + - uses: r-lib/actions/check-r-package@v2 + with: + upload-snapshots: true diff --git a/ADaM.Rproj b/ADaM.Rproj new file mode 100644 index 0000000000..49f2092f8b --- /dev/null +++ b/ADaM.Rproj @@ -0,0 +1,19 @@ +Version: 1.0 + +RestoreWorkspace: Default +SaveWorkspace: Default +AlwaysSaveHistory: Default + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: pdfLaTeX + +StripTrailingWhitespace: Yes + +BuildType: Package +PackageUseDevtools: Yes +PackageInstallArgs: --no-multiarch --with-keep.source diff --git a/NAMESPACE b/NAMESPACE index 236fbec4be..4d8f48d83d 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -13,6 +13,9 @@ S3method(print,adam_templates) S3method(print,duplicates) S3method(print,source) export("%>%") +export("%notin%") +export("%or%") +export(add_suffix_to_vars) export(ae_event) export(ae_gr1_event) export(ae_gr2_event) @@ -23,6 +26,36 @@ export(ae_gr5_event) export(ae_ser_event) export(ae_sev_event) export(ae_wd_event) +export(anti_join) +export(arg_name) +export(assert_atomic_vector) +export(assert_character_scalar) +export(assert_character_vector) +export(assert_data_frame) +export(assert_date_var) +export(assert_date_vector) +export(assert_expr) +export(assert_expr_list) +export(assert_filter_cond) +export(assert_function) +export(assert_function_param) +export(assert_has_variables) +export(assert_integer_scalar) +export(assert_list_element) +export(assert_list_of) +export(assert_logical_scalar) +export(assert_named) +export(assert_named_exprs) +export(assert_numeric_vector) +export(assert_one_to_one) +export(assert_param_does_not_exist) +export(assert_s3_class) +export(assert_same_type) +export(assert_symbol) +export(assert_unit) +export(assert_vars) +export(assert_varval_list) +export(backquote) export(basket_select) export(call_derivation) export(call_user_fun) @@ -43,16 +76,19 @@ export(compute_rr) export(compute_scale) export(compute_tmf) export(consolidate_metadata) +export(contains_vars) export(convert_blanks_to_na) export(convert_date_to_dtm) export(convert_dtc_to_dt) export(convert_dtc_to_dtm) +export(convert_dtm_to_dtc) export(convert_na_to_blanks) export(count_vals) export(country_code_lookup) export(create_period_dataset) export(create_query_data) export(create_single_dose_dataset) +export(dataset_vignette) export(date_source) export(death_event) export(default_qtc_paramcd) @@ -116,30 +152,48 @@ export(derive_vars_query) export(derive_vars_transposed) export(desc) export(dose_freq_lookup) +export(dquote) export(dthcaus_source) +export(enumerate) export(event) export(event_joined) export(event_source) +export(expect_dfs_equal) +export(expr_c) export(exprs) export(extract_duplicate_records) export(extract_unit) +export(extract_vars) export(filter_exist) export(filter_extreme) +export(filter_if) export(filter_joined) export(filter_not_exist) export(filter_relative) export(flag_event) +export(friendly_type_of) export(get_admiral_option) +export(get_constant_vars) +export(get_dataset) +export(get_duplicates) export(get_duplicates_dataset) export(get_flagged_records) export(get_many_to_one_dataset) +export(get_new_tmp_var) export(get_not_mapped) export(get_one_to_many_dataset) +export(get_source_vars) export(get_summary_records) export(get_vars_query) +export(hello) export(impute_dtc_dt) export(impute_dtc_dtm) +export(inner_join) +export(is_auto) +export(is_order_vars) +export(is_valid_dtc) export(lastalive_censor) +export(left_join) export(list_all_templates) export(list_tte_source_objects) export(max_cond) @@ -147,13 +201,26 @@ export(min_cond) export(negate_vars) export(params) export(print_named_list) +export(process_set_values_to) export(query) export(records_source) +export(remove_tmp_vars) +export(replace_symbol_in_expr) +export(replace_values_by_names) export(restrict_derivation) export(set_admiral_options) export(signal_duplicate_records) export(slice_derivation) +export(squote) +export(suppress_warning) export(use_ad_template) +export(valid_time_units) +export(vars2chr) +export(warn_if_incomplete_dtc) +export(warn_if_inconsistent_list) +export(warn_if_invalid_dtc) +export(warn_if_vars_exist) +export(what_is_it) export(yn_to_numeric) import(admiraldev) importFrom(cli,ansi_collapse) @@ -162,6 +229,7 @@ importFrom(cli,cli_div) importFrom(cli,cli_inform) importFrom(cli,cli_text) importFrom(cli,cli_warn) +importFrom(dplyr,"%>%") importFrom(dplyr,across) importFrom(dplyr,arrange) importFrom(dplyr,bind_cols) @@ -178,6 +246,7 @@ importFrom(dplyr,full_join) importFrom(dplyr,group_by) importFrom(dplyr,group_by_at) importFrom(dplyr,if_else) +importFrom(dplyr,left_join) importFrom(dplyr,mutate) importFrom(dplyr,n) importFrom(dplyr,n_distinct) @@ -193,9 +262,12 @@ importFrom(dplyr,starts_with) importFrom(dplyr,summarise) importFrom(dplyr,summarise_all) importFrom(dplyr,tibble) +importFrom(dplyr,transmute) importFrom(dplyr,tribble) importFrom(dplyr,ungroup) importFrom(dplyr,union) +importFrom(glue,glue) +importFrom(glue,glue_collapse) importFrom(hms,as_hms) importFrom(lifecycle,deprecate_stop) importFrom(lifecycle,deprecate_warn) @@ -239,6 +311,7 @@ importFrom(purrr,pmap) importFrom(purrr,reduce) importFrom(purrr,transpose) importFrom(purrr,walk) +importFrom(rlang,"%||%") importFrom(rlang,":=") importFrom(rlang,.data) importFrom(rlang,abort) @@ -254,6 +327,7 @@ importFrom(rlang,caller_env) importFrom(rlang,current_env) importFrom(rlang,enexpr) importFrom(rlang,enexprs) +importFrom(rlang,enquo) importFrom(rlang,eval_bare) importFrom(rlang,eval_tidy) importFrom(rlang,exec) @@ -264,15 +338,27 @@ importFrom(rlang,exprs) importFrom(rlang,f_lhs) importFrom(rlang,f_rhs) importFrom(rlang,inform) +importFrom(rlang,is_bare_formula) importFrom(rlang,is_call) +importFrom(rlang,is_character) importFrom(rlang,is_expression) +importFrom(rlang,is_formula) +importFrom(rlang,is_integerish) +importFrom(rlang,is_logical) importFrom(rlang,is_missing) importFrom(rlang,is_named) +importFrom(rlang,is_quosure) +importFrom(rlang,is_symbol) +importFrom(rlang,is_symbolic) importFrom(rlang,list2) +importFrom(rlang,missing_arg) importFrom(rlang,new_environment) importFrom(rlang,new_formula) importFrom(rlang,parse_expr) importFrom(rlang,parse_exprs) +importFrom(rlang,quo) +importFrom(rlang,quo_is_missing) +importFrom(rlang,quo_is_null) importFrom(rlang,set_names) importFrom(rlang,sym) importFrom(rlang,syms) diff --git a/R/ADaM-package.R b/R/ADaM-package.R new file mode 100644 index 0000000000..874cb13e4e --- /dev/null +++ b/R/ADaM-package.R @@ -0,0 +1,5 @@ +#' @keywords internal +#' @importFrom dplyr filter mutate left_join rename select +#' @importFrom magrittr %>% +#' @importFrom rlang abort +"_PACKAGE" diff --git a/R/addin_format_testthat.R b/R/addin_format_testthat.R new file mode 100644 index 0000000000..df6c5b0a2e --- /dev/null +++ b/R/addin_format_testthat.R @@ -0,0 +1,107 @@ +# Returns the call for updating a given test_that test file +# by adding a function name, a test number, and a section. +# Call the function either by using RStudio Addin "format_test_that_file" or +# programmatically in a for loop on the test files and running +# rstudioapi::navigateToFile and format_test_that_file +prepare_test_that_file <- function(path) { + assert_character_scalar(path) + + # check that file exists + if (!file.exists(path)) { + stop("Invalid file path, the file does not exist.") + } + + # check that testthat is used and testing file is opened + uses_test_file <- grepl("tests/testthat/test-", path, fixed = TRUE) + if (!uses_test_file) { + stop("This Addin works only on unit test files that follow a testthat structure.") + } + + # parse the name of the testing function + testing_file <- sub("^test-", "", sub(".R$", "", basename(path))) + + # get file content + file_content <- readLines(path) + + # get locations of tests - match 'test_that("' strings + test_that_loc <- grep('^test_that\\("', file_content) + + if (length(test_that_loc) == 0) { + return(invisible(NULL)) + } + + #### + ## HANDLE test_that DESCRIPTIONS + #### + + # get and parse test descriptions + test_that_lines <- file_content[test_that_loc] + test_that_desc_parsed <- stringr::str_extract( + string = test_that_lines, + pattern = paste0( + '(?<=test_that\\(")', # positive look-ahead - search matching expression after test_that(" + ".*", # matching expression - match everything + '(?=")' # positive look-behind - search matching expression before " + ) + ) + test_that_desc_cleaned <- stringr::str_remove( + string = test_that_desc_parsed, + pattern = paste0("([\\w\\.]+,? )?[Tt]est \\d{1,} ?: ") + ) + + # determine name of function which is tested + # the function name can be specified by # function_name ---- comments + function_name <- str_match(file_content, "# ([\\w\\.]+) ----")[, 2] + if (is.na(function_name[1])) { + function_name[1] <- testing_file + } + function_name <- tidyr::fill(data.frame(name = function_name), name)$name + function_name <- function_name[test_that_loc] + + # formulate new test descriptions (update only those that don't include test_title) + new_desc <- paste0( + "Test ", seq_along(test_that_loc), ": ", + test_that_desc_cleaned + ) + + # insert new test descriptions into test_that lines + test_that_lines_updated <- stringr::str_replace( + string = test_that_lines, + pattern = '(?<=test_that\\(").*"', + replacement = paste0(function_name, " ", new_desc, '"') + ) + + # modify the file content + file_content[test_that_loc] <- test_that_lines_updated + + #### + ## HANDLE HEADERS + #### + + # formulate headers according to RStudio editor functionality + headers <- paste0("## ", new_desc, " ----") + + # get locations of headers created by this function + header_loc_lgl <- grepl(paste0("^##?( ----)?( \\w+)?,? [tT]est \\d{1,} ?: "), file_content) + + # remove those headers + file_content <- file_content[!header_loc_lgl] + + # add new headers just before test_that calls + header_loc <- grep('^test_that\\("', file_content) + seq_along(headers) - 1 + file_content_new <- vector(mode = "character", length = length(file_content) + length(headers)) + file_content_new[header_loc] <- headers + file_content_new[-header_loc] <- file_content + + list(file_content = file_content_new) +} + +# Function for the RStudio Addin, see inst/rstudio/addins.dcf. +# Wrapper of prepare_test_that_file. +format_test_that_file <- function() { + file_info <- rstudioapi::getActiveDocumentContext() + rstudioapi::documentSave(id = file_info$id) + result <- prepare_test_that_file(path = file_info$path) + rstudioapi::setDocumentContents(paste0(result$file_content, collapse = "\n"), id = file_info$id) + rstudioapi::documentSave(id = file_info$id) +} diff --git a/R/admiraldev-package.R b/R/admiraldev-package.R new file mode 100644 index 0000000000..70af824a84 --- /dev/null +++ b/R/admiraldev-package.R @@ -0,0 +1,26 @@ +#' @keywords internal +#' @importFrom dplyr across arrange bind_rows case_when desc ends_with filter +#' full_join group_by if_else mutate n pull rename row_number select slice +#' starts_with transmute ungroup n_distinct union distinct summarise coalesce +#' bind_cols na_if tibble %>% +#' @importFrom rlang := abort arg_match as_function as_label as_name as_string +#' call2 caller_env call_name current_env .data enexpr enquo eval_bare +#' eval_tidy expr expr_interp expr_label exprs f_lhs f_rhs is_named inform missing_arg +#' is_bare_formula is_call is_character is_expression is_formula is_integerish +#' is_logical is_missing is_quosure is_symbol is_symbolic new_formula +#' parse_expr parse_exprs quo quo_is_missing quo_is_null set_names sym syms +#' type_of warn %||% +#' @importFrom utils capture.output str +#' @importFrom purrr map map2 map_chr map_lgl reduce walk keep map_if transpose +#' flatten every modify_at modify_if reduce compose +#' @importFrom stringr str_c str_detect str_extract str_glue str_match +#' str_remove str_remove_all str_replace str_trim str_to_lower str_subset +#' str_to_title str_to_upper +#' @importFrom lubridate as_datetime ceiling_date date days duration floor_date is.Date is.instant +#' time_length %--% ymd ymd_hms weeks years hours minutes +#' @importFrom tidyr drop_na nest pivot_longer pivot_wider unnest +#' @importFrom tidyselect all_of contains vars_select +#' @importFrom lifecycle deprecate_warn deprecated deprecate_stop +#' @importFrom cli cli_abort cli_div +#' @importFrom glue glue glue_collapse +"_PACKAGE" diff --git a/R/admiraldev_environment.R b/R/admiraldev_environment.R new file mode 100644 index 0000000000..2817631583 --- /dev/null +++ b/R/admiraldev_environment.R @@ -0,0 +1,23 @@ +#' Environment Objects +#' +#' @details +#' Once in a while, we may encounter "locked binding for 'xxx'." errors +#' during the development process while building out functions. This may arise because +#' we want to create dynamic data/objects based on user-inputs that need modification +#' at points in time after the package has been loaded. To manage such data or objects, +#' R has a data structure known as an 'environment'. These environment objects are created +#' at build time, but can be populated with values after the package has been loaded and +#' update those values over the course of an R session. For more details how environments work, +#' see relevant sections on environments in R Packages and Advanced R textbooks for more details. +#' @noRd +admiraldev_environment <- new.env(parent = emptyenv()) +# See respective ...R page for usage + +# assertions.R ---- +## assert_one_to_one +admiraldev_environment$many_to_one <- NULL +admiraldev_environment$one_to_many <- NULL + +# datasets.R ---- +## get_dataset +# Function above is used to retrieve many_to_one and one_to_many diff --git a/R/assertions.R b/R/assertions.R new file mode 100644 index 0000000000..62c014ceec --- /dev/null +++ b/R/assertions.R @@ -0,0 +1,1925 @@ +#' Is an Argument a Data Frame? +#' +#' Checks if an argument is a data frame and (optionally) whether is contains +#' a set of required variables +#' +#' @param arg A function argument to be checked +#' @param required_vars A list of variables created using `exprs()` +#' @param check_is_grouped Throw an error is `dataset` is grouped? Defaults to `TRUE`. +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' +#' @inheritParams assert_logical_scalar +#' +#' @return +#' The function throws an error if `arg` is not a data frame or if `arg` is a +#' data frame but misses any variable specified in `required_vars`. Otherwise, +#' the input is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' +#' @examples +#' library(dplyr) +#' library(rlang) +#' dm <- tribble( +#' ~STUDYID, ~USUBJID, +#' "XYZ", "1", +#' "XYZ", "2" +#' ) +#' +#' example_fun <- function(dataset) { +#' assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) +#' } +#' +#' example_fun(dm) +#' +#' try(example_fun(select(dm, -STUDYID))) +#' +#' try(example_fun("Not a dataset")) +#' +#' try(example_fun(group_by(dm, USUBJID))) +assert_data_frame <- function(arg, + required_vars = NULL, + check_is_grouped = TRUE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_data_frame", + call = parent.frame()) { + assert_vars(required_vars, optional = TRUE) + assert_logical_scalar(check_is_grouped) + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + assert_s3_class( + arg, + cls = "data.frame", + optional = optional, + arg_name = arg_name, + message = message, + class = class, + call = call + ) + + if (check_is_grouped && dplyr::is_grouped_df(arg)) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must not be a grouped dataset, please `ungroup()` it.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + + if (!is.null(required_vars)) { + required_vars <- vars2chr(required_vars) + is_missing <- !required_vars %in% colnames(arg) + if (any(is_missing)) { + missing_vars <- required_vars[is_missing] + if (length(missing_vars) == 1L) { + err_msg <- "Required variable {.var {missing_vars}} is missing in {.arg {arg_name}}" + } else { + err_msg <- "Required variables {.var {missing_vars}} are missing in {.arg {arg_name}}" + } + cli_abort( + message = message %||% + err_msg, + class = c(class, "assert-admiraldev"), + call = call + ) + } + } + + invisible(arg) +} + +#' Is an Argument a Character Scalar (String)? +#' +#' Checks if an argument is a character scalar and (optionally) whether it matches +#' one of the provided `values`. +#' +#' @param arg A function argument to be checked +#' @param values A `character` vector of valid values for `arg`. +#' Values is converted to a lower case vector if case_sensitive = FALSE is used. +#' @param case_sensitive Should the argument be handled case-sensitive? +#' If set to `FALSE`, the argument is converted to lower case for checking the +#' permitted values and returning the argument. +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if `arg` is not a character vector or if `arg` +#' is a character vector but of length > 1 or if its value is not one of the `values` +#' specified. Otherwise, the input is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' example_fun <- function(msg_type) { +#' assert_character_scalar(msg_type, values = c("warning", "error")) +#' } +#' +#' example_fun("warning") +#' +#' try(example_fun("message")) +#' +#' try(example_fun(TRUE)) +#' +#' # handling arguments case-insensitive +#' example_fun2 <- function(msg_type) { +#' msg_type <- assert_character_scalar( +#' msg_type, +#' values = c("warning", "error"), +#' case_sensitive = FALSE +#' ) +#' if (msg_type == "warning") { +#' print("A warning was requested.") +#' } +#' } +#' +#' example_fun2("Warning") +assert_character_scalar <- function(arg, + values = NULL, + case_sensitive = TRUE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_character_scalar", + call = parent.frame()) { + assert_character_vector(values, optional = TRUE) + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + # change cli `.val` to end with OR instead of AND + divid <- cli_div(theme = list(.val = list("vec-last" = ", or ", "vec_sep2" = " or "))) + + # check class and length of `arg` + if (!is.character(arg)) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be a scalar of class {.cls character}, + but is {.obj_type_friendly {arg}}.", + call = call, + class = c(class, "assert-admiraldev") + ) + } + + if (length(arg) != 1L) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be a scalar of class {.cls character}, + but is length {.val {length(arg)}}", + call = call, + class = c(class, "assert-admiraldev") + ) + } + + # Create case_adjusted_arg and case_adjusted_values for the following purpose: + # + # 1. To simplify the comparison of arg and values; i.e. the "case_adjusted_" + # variables take into consideration whether `case_sensitive = TRUE`, or + # `case_sensitive = FALSE`. + # + # 2. To avoid overwriting the original "arg" and "values", so that subsequent + # code can refer directly to the initial function arguments: this is + # required whilst generating an error message if "arg" is not one of the + # user-specified valid values. + + if (case_sensitive) { + case_adjusted_arg <- arg + if (!is.null(values)) { + case_adjusted_values <- values + } + } else { + case_adjusted_arg <- tolower(arg) + if (!is.null(values)) { + case_adjusted_values <- tolower(values) + } + } + + if (!is.null(values) && case_adjusted_arg %notin% case_adjusted_values) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be equal to one of {.val {values}}.", + call = call, + class = c(class, "assert-admiraldev") + ) + } + + invisible(case_adjusted_arg) +} + +#' Is an Argument a Character Vector? +#' +#' Checks if an argument is a character vector +#' +#' @param arg A function argument to be checked +#' @param values A `character` vector of valid values for `arg` +#' @param named If set to `TRUE`, an error is issued if not all elements of the +#' vector are named. +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if `arg` is not a character vector or if +#' any element is not included in the list of valid values. Otherwise, the input +#' is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' example_fun <- function(chr) { +#' assert_character_vector(chr) +#' } +#' +#' example_fun(letters) +#' +#' try(example_fun(1:10)) +#' +#' example_fun2 <- function(chr) { +#' assert_character_vector(chr, named = TRUE) +#' } +#' +#' try(example_fun2(c(alpha = "a", "b", gamma = "c"))) +assert_character_vector <- function(arg, values = NULL, named = FALSE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_character_vector", + call = parent.frame()) { + assert_logical_scalar(named) + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + message <- + message %||% + ifelse( + is.null(values), + "Argument {.arg {arg_name}} must be {.cls character}, but is {.obj_type_friendly {arg}}.", + "Argument {.arg {arg_name}} must be {.cls character} with values {.val {values}}." + ) + + if (!is.character(arg) || + (!is.null(values) && length(unique(arg[!map_lgl(arg, `%in%`, values)])) > 0L)) { + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) + } + + if (named) { + assert_named(arg, call = call, class = class, arg_name = arg_name) + } + + invisible(arg) +} + +#' Is an Argument a Logical Scalar (Boolean)? +#' +#' Checks if an argument is a logical scalar +#' +#' @param arg A function argument to be checked +#' @param optional Is the checked argument optional?\cr +#' If set to `FALSE` and `arg` is `NULL` then an error is thrown. Otherwise, +#' `NULL` is considered as valid value. +#' @param arg_name string indicating the label/symbol of the object being checked. +#' @param message string passed to `cli::cli_abort(message)`. +#' When `NULL`, default messaging is used (see examples for default messages). +#' `"{arg_name}"` can be used in messaging. +#' @inheritParams cli::cli_abort +#' @inheritParams rlang::abort +#' +#' @return +#' The function throws an error if `arg` is neither `TRUE` or `FALSE`. Otherwise, +#' the input is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' example_fun <- function(flag) { +#' assert_logical_scalar(flag) +#' } +#' +#' example_fun(FALSE) +#' +#' try(example_fun(NA)) +#' +#' try(example_fun(c(TRUE, FALSE, FALSE))) +#' +#' try(example_fun(1:10)) +assert_logical_scalar <- function(arg, optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_logical_scalar", + call = parent.frame()) { + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + # set default error message, if not specified + message <- + message %||% + "Argument {.arg {arg_name}} must be either {.val {TRUE}} or + {.val {FALSE}}, but is {.obj_type_friendly {arg}}." + + if (!is.logical(arg) || length(arg) != 1L || is.na(arg)) { + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) + } + + invisible(arg) +} + +#' Is an Argument a Symbol? +#' +#' Checks if an argument is a symbol +#' +#' @param arg A function argument to be checked. Must be a `symbol`. See examples. +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if `arg` is not a symbol and returns the input +#' invisibly otherwise. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' library(rlang) +#' dm <- dplyr::tribble( +#' ~DOMAIN, ~USUBJID, +#' "DM", "01-701-1015", +#' "DM", "01-701-1016", +#' ) +#' example_fun <- function(dat, var) { +#' var <- assert_symbol(enexpr(var)) +#' select(dat, !!var) +#' } +#' +#' example_fun(dm, USUBJID) +#' +#' try(example_fun(dm)) +#' +#' try(example_fun(dm, "USUBJID")) +#' +#' try(example_fun(dm, toupper(PARAMCD))) +assert_symbol <- function(arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_symbol", + call = parent.frame()) { + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + # set default error message, if not specified + message <- + message %||% + ifelse( + is_missing(arg), + "Argument {.arg {arg_name}} must be a {.cls symbol}, but is missing.", + "Argument {.arg {arg_name}} must be a {.cls symbol}, but is {.obj_type_friendly {arg}}." + ) + + if (is_missing(arg) || !is.symbol(arg)) { + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) + } + + invisible(arg) +} + +#' Assert Argument is an Expression +#' +#' @inheritParams assert_data_frame +#' @inheritParams assert_character_scalar +#' +#' @keywords assertion +#' @family assertion +#' +#' @return +#' The function throws an error if `arg` is not an expression, i.e. either +#' a symbol or a call, or returns the input invisibly otherwise +#' +#' @export +assert_expr <- function(arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_expr", + call = parent.frame()) { + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + arg_name <- tryCatch(force(arg_name), error = function(e) "arg") + if (is_missing(arg)) { + cli_abort( + message = message %||% "Argument {.arg {arg_name}} cannot be missing.", + call = call, + class = c(class, "assert-admiraldev") + ) + } + + if (!(is_call(arg) || is_expression(arg))) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be an expression, but is {.obj_type_friendly {arg}}", + call = call, + class = c(class, "assert-admiraldev") + ) + } + + invisible(arg) +} + +#' Is an Argument a Filter Condition? +#' +#' @param arg Quosure - filtering condition. +#' @param optional Logical - is the argument optional? Defaults to `FALSE`. +#' @inheritParams assert_logical_scalar +#' +#' @details Check if `arg` is a suitable filtering condition to be used in +#' functions like `subset` or `dplyr::filter`. +#' +#' @return Performs necessary checks and returns `arg` if all pass. +#' Otherwise throws an informative error. +#' +#' @export +#' @keywords assertion +#' @family assertion +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' library(rlang) +#' dm <- dplyr::tribble( +#' ~DOMAIN, ~STUDYID, ~USUBJID, ~AGE, +#' "DM", "STUDY X", "01-701-1015", 64, +#' "DM", "STUDY X", "01-701-1016", 65, +#' ) +#' +#' # typical usage in a function as an argument check +#' example_fun <- function(dat, x) { +#' x <- assert_filter_cond(enexpr(x), arg_name = "x") +#' filter(dat, !!x) +#' } +#' +#' example_fun(dm, AGE == 64) +#' +#' try(assert_filter_cond(mtcars)) +assert_filter_cond <- function(arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_filter_cond", + call = parent.frame()) { + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + arg_name <- gsub("^.*\\((.*)\\)$", "\\1", arg_name) + + provided <- !is_missing(arg) + if (provided && !(is_call(arg) || is_logical(arg))) { + cli_abort( + message = message %||% + "Argument {.arg {(arg_name)}} must be a filter condition, but is {.obj_type_friendly {arg}}", + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(arg) +} + +#' Is an Argument a List of Variables? +#' +#' Checks if an argument is a valid list of symbols (e.g., created by `exprs()`) +#' +#' @param arg A function argument to be checked +#' +#' @param expect_names If the argument is set to `TRUE`, it is checked if all +#' variables are named, e.g., `exprs(APERSDT = APxxSDT, APEREDT = APxxEDT)`. +#' +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' +#' @inheritParams assert_logical_scalar +#' +#' @return +#' The function throws an error if `arg` is not a list of symbols (e.g., created +#' by `exprs()` and returns the input invisibly otherwise. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' library(rlang) +#' +#' example_fun <- function(by_vars) { +#' assert_vars(by_vars) +#' } +#' +#' example_fun(exprs(USUBJID, PARAMCD)) +#' +#' try(example_fun(quos(USUBJID, PARAMCD))) +#' +#' try(example_fun(c("USUBJID", "PARAMCD", "VISIT"))) +#' +#' try(example_fun(exprs(USUBJID, toupper(PARAMCD), desc(AVAL)))) +#' +#' example_fun_name <- function(by_vars) { +#' assert_vars(by_vars, expect_names = TRUE) +#' } +#' +#' example_fun_name(exprs(APERSDT = APxxSDT, APEREDT = APxxEDT)) +#' +#' try(example_fun_name(exprs(APERSDT = APxxSDT, APxxEDT))) +assert_vars <- function(arg, + expect_names = FALSE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_vars", + call = parent.frame()) { + assert_logical_scalar(expect_names) + assert_logical_scalar(optional) + + if (isTRUE(tryCatch(force(arg), error = function(e) TRUE))) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be a list of {.cls symbol}, + e.g., {.code exprs(USUBJID, VISIT)}.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + + assert_list_of( + arg, + "symbol", + named = expect_names, + optional = optional, + arg_name = arg_name, + message = message, + class = class, + call = call + ) +} + +#' Is an Argument an Integer Scalar? +#' +#' Checks if an argument is an integer scalar +#' +#' @param arg A function argument to be checked +#' @param subset A subset of integers that `arg` should be part of. Should be one +#' of `"none"` (the default), `"positive"`, `"non-negative"` or `"negative"`. +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' @inheritParams assert_logical_scalar +#' +#' @return +#' The function throws an error if `arg` is not an integer belonging to the +#' specified `subset`. Otherwise, the input is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' example_fun <- function(num1, num2) { +#' assert_integer_scalar(num1, subset = "positive") +#' assert_integer_scalar(num2, subset = "negative") +#' } +#' +#' example_fun(1, -9) +#' +#' try(example_fun(1.5, -9)) +#' +#' try(example_fun(2, 0)) +#' +#' try(example_fun("2", 0)) +assert_integer_scalar <- function(arg, + subset = "none", + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_integer_scalar", + call = parent.frame()) { + subsets <- list( + "positive" = quote(arg > 0L), + "non-negative" = quote(arg >= 0L), + "negative" = quote(arg < 0L), + "none" = quote(TRUE) + ) + assert_character_scalar(subset, values = names(subsets)) + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + if (!is_integerish(arg) || length(arg) != 1L || !is.finite(arg) || !eval(subsets[[subset]])) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be + {ifelse(subset == 'none', 'an', paste('a', subset))} + integer scalar.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(as.integer(arg)) +} + +#' Is an Argument a Numeric Vector? +#' +#' Checks if an argument is a numeric vector +#' +#' @param arg A function argument to be checked +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if `arg` is not a numeric vector. +#' Otherwise, the input is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' example_fun <- function(num) { +#' assert_numeric_vector(num) +#' } +#' +#' example_fun(1:10) +#' +#' try(example_fun(letters)) +assert_numeric_vector <- function(arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_numeric_vector", + call = parent.frame()) { + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + if (!is.numeric(arg)) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be a numeric vector, but it is + {.obj_type_friendly {arg}}.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(arg) +} + +#' Is an Argument an Atomic Vector? +#' +#' Checks if an argument is an atomic vector +#' +#' @param arg A function argument to be checked +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if `arg` is not an atomic vector. +#' Otherwise, the input is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' example_fun <- function(x) { +#' assert_atomic_vector(x) +#' } +#' +#' example_fun(1:10) +#' +#' try(example_fun(list(1, 2))) +assert_atomic_vector <- function(arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_atomic_vector", + call = parent.frame()) { + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + if (!is.atomic(arg)) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be an atomic vector, but is {.obj_type_friendly {arg}}.", + call = call, + class = c(class, "assert-admiraldev") + ) + } + + invisible(arg) +} + +#' Is an Argument an Object of a Specific S3 Class? +#' +#' Checks if an argument is an object inheriting from the S3 class specified. +#' @param arg A function argument to be checked +#' @param cls The S3 class to check for +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if `arg` is an object which does *not* inherit from `class`. +#' Otherwise, the input is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' example_fun <- function(obj) { +#' assert_s3_class(obj, "factor") +#' } +#' +#' example_fun(as.factor(letters)) +#' +#' try(example_fun(letters)) +#' +#' try(example_fun(1:10)) +assert_s3_class <- function(arg, cls, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_s3_class", + call = parent.frame()) { + assert_character_scalar(cls) + assert_logical_scalar(optional) + + if (is.null(arg) && optional) { + return(invisible(arg)) + } + + messagge <- + message %||% + "Argument {.arg {arg_name}} must be class {.cls {cls}}, but is {.obj_type_friendly {arg}}." + + if (!inherits(arg, cls)) { + cli_abort( + message = messagge, + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(arg) +} + +#' Is an Argument a List of Objects of a Specific S3 Class or Type? +#' +#' Checks if an argument is a `list` of objects inheriting from the S3 class or type specified. +#' +#' @param arg A function argument to be checked +#' @param cls The S3 class or type to check for +#' @param named If set to `TRUE`, an error is issued if not all elements of the +#' list are named. +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if `arg` is not a list or if `arg` is a list but +#' its elements are not objects inheriting from `class` or of type `class`. +#' Otherwise, the input is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' @examples +#' example_fun <- function(list) { +#' assert_list_of(list, "data.frame") +#' } +#' +#' example_fun(list(mtcars, iris)) +#' +#' try(example_fun(list(letters, 1:10))) +#' +#' try(example_fun(c(TRUE, FALSE))) +#' +#' example_fun2 <- function(list) { +#' assert_list_of(list, "numeric", named = TRUE) +#' } +#' try(example_fun2(list(1, 2, 3, d = 4))) +assert_list_of <- function(arg, cls, + named = FALSE, + optional = TRUE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_list_of", + call = parent.frame()) { + assert_character_scalar(cls) + assert_logical_scalar(named) + assert_logical_scalar(optional) + + if (is.null(arg) && optional) { + return(invisible(arg)) + } + + # check the passed argument is a list + assert_s3_class( + arg, + cls = "list", + arg_name = arg_name, + message = message, + class = class, + call = call + ) + # if list must be named, check this + if (named) { + assert_named( + arg, + arg_name = arg_name, + message = message, + class = class, + call = call + ) + } + + # check each list element is the expected class/type + is_class <- map_lgl(arg, inherits, cls) | map_chr(arg, typeof) == cls + if (!all(is_class)) { + # construct supplementary message listing elements that are not correct type + if (is.null(message)) { + info_msg <- glue_collapse( + glue( + "element {{.val {{{which(!is_class)}}}}} is ", + "{{.obj_type_friendly {{arg[[{which(!is_class)}]]}}}}" + ), + sep = ", ", last = ", and " + ) + message <- c( + "Each element of the list in argument {.arg {arg_name}} + must be class/type {.cls {cls}}.", + i = paste("But,", info_msg) + ) + } + + cli_abort( + message = message, + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(arg) +} + +#' Assert Argument is a Named List or Vector +#' +#' Assert that all elements of the argument are named. +#' +#' @inheritParams assert_data_frame +#' @inheritParams assert_logical_scalar +#' +#' @keywords assertion +#' @family assertion +#' +#' @return +#' The function throws an error if `arg` is not a named list or vector or +#' returns the input invisibly otherwise +#' +#' @export +#' +#' @examples +#' example_fun <- function(varval_list) { +#' assert_named(varval_list) +#' } +#' +#' example_fun(list(var1 = 1, var2 = "x")) +#' +#' try(example_fun(list(1, "x"))) +#' +#' try(example_fun(list(var = 1, "x"))) +assert_named <- function(arg, optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_named", + call = parent.frame()) { + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + # if argument is greater than length 0 and all element named, return arg invisibly + any_unnamed <- length(arg) > 0L && !is_named(arg) + if (isFALSE(any_unnamed)) { + return(invisible(arg)) + } + + # get the indices of the unnamed elements for using in the error message. + if (is.null(names(arg))) { + indices <- seq_along(arg) + } else { + indices <- which(names(arg) == "") + } + + message <- message %||% + c("All elements of {.arg {arg_name}} argument must be named.", + i = "The indices of the unnamed elements are {.val {indices}}" + ) + + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) +} + +#' Assert Argument is a Named List of Expressions +#' +#' @description +#' `r lifecycle::badge("deprecated")` +#' +#' This function is *deprecated*, please use `assert_expr_list()` instead. +#' +#' @inheritParams assert_data_frame +#' +#' @keywords deprecated +#' @family deprecated +#' +#' @return +#' The function throws an error if `arg` is not a named `list` of expression or +#' returns the input invisibly otherwise +#' +#' @export +assert_named_exprs <- function(arg, optional = FALSE) { + deprecate_stop("0.5.0", "assert_named_exprs()", "assert_expr_list()") +} + +#' Does a Dataset Contain All Required Variables? +#' +#' Checks if a dataset contains all required variables +#' +#' @description +#' `r lifecycle::badge("deprecated")` +#' +#' This function is *deprecated*, please use `assert_data_frame()` instead. +#' +#' @param dataset A `data.frame` +#' @param required_vars A `character` vector of variable names +#' +#' +#' @return The function throws an error if any of the required variables are +#' missing in the input dataset. Otherwise, the dataset is returned invisibly. +#' +#' @export +#' +#' @keywords deprecated +#' @family deprecated +assert_has_variables <- function(dataset, required_vars) { + deprecate_stop("0.5.0", "assert_has_variables()", "assert_data_frame()") +} + +#' Is Argument a Function? +#' +#' Checks if the argument is a function and if all expected arguments are +#' provided by the function. +#' +#' @param arg A function +#' +#' The function to be checked +#' +#' @param params A character vector +#' +#' A character vector of expected argument names for the aforementioned function in `arg`. +#' If ellipsis, `...`, is included in the function formals of the function in `arg`, +#' this argument, `params` will be ignored, accepting all values of the character vector. +#' +#' @param optional Is the checked argument optional? +#' +#' If set to `FALSE` and `arg` is `NULL` then an error is thrown. +#' @inheritParams assert_logical_scalar +#' +#' @return The function throws an error +#' +#' - if the argument is not a function or +#' +#' - if the function does not provide all arguments as specified for the +#' `params` argument (assuming ellipsis is not in function formals) +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' +#' @examples +#' example_fun <- function(fun) { +#' assert_function(fun, params = c("x")) +#' } +#' +#' example_fun(mean) +#' +#' try(example_fun(1)) +#' +#' try(example_fun(sum)) +assert_function <- function(arg, + params = NULL, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_function", + call = parent.frame()) { + assert_character_vector(params, optional = TRUE) + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + arg_name <- tryCatch(force(arg_name), error = function(e) "arg") + if (missing(arg)) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} cannot be missing.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + + if (!is.function(arg)) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be a function, but is {.obj_type_friendly {arg}}.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + if (!is.null(params)) { + if ("..." %in% names(formals(arg))) { + return(invisible(arg)) + } + is_param <- params %in% names(formals(arg)) + + if (!all(is_param)) { + cli_abort( + message = message %||% + "{.val {params[!is_param]}} {?is/are} not {?an argument/arguments} + of the function specified for {.arg {arg_name}}.", + call = call, + class = c(class, "assert-admiraldev") + ) + } + } + + invisible(arg) +} + +#' Assert Argument is a Parameter of a Function +#' +#' @description +#' `r lifecycle::badge("deprecated")` +#' +#' This function is *deprecated*, please use `assert_function()` instead. +#' +#' @param arg The name of a function passed as a string +#' @param params A character vector of function parameters +#' +#' @keywords deprecated +#' @family deprecated +#' +#' @return +#' The function throws an error if any elements of `params` is not an argument of +#' the function given by `arg` +#' +#' @export +assert_function_param <- function(arg, params) { + deprecate_stop("0.5.0", "assert_function_param()", "assert_function()") +} + +#' Asserts That a Parameter is Provided in the Expected Unit +#' +#' Checks if a parameter (`PARAMCD`) in a dataset is provided in the expected +#' unit. +#' +#' @param dataset A `data.frame` +#' @param param Parameter code of the parameter to check +#' @param required_unit Expected unit +#' @param get_unit_expr Expression used to provide the unit of `param` +#' +#' @inheritParams assert_logical_scalar +#' +#' +#' @keywords assertion +#' @family assertion +#' +#' @return +#' The function throws an error if the unit variable differs from the +#' unit for any observation of the parameter in the input dataset. Otherwise, the +#' dataset is returned invisibly. +#' +#' @export +#' +#' @examples +#' library(dplyr) +#' +#' advs <- tribble( +#' ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, +#' "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, +#' "P02", "WEIGHT", 85.7, "kg", "WEIGHT", 85.7 +#' ) +#' +#' assert_unit(advs, param = "WEIGHT", required_unit = "kg", get_unit_expr = VSSTRESU) +assert_unit <- function(dataset, + param, + required_unit, + get_unit_expr, + arg_name = rlang::caller_arg(required_unit), + message = NULL, + class = "assert_unit", + call = parent.frame()) { + assert_data_frame(dataset, required_vars = exprs(PARAMCD)) + assert_character_scalar(param) + assert_character_scalar(required_unit) + get_unit_expr <- enexpr(get_unit_expr) + + units <- dataset %>% + mutate(`_unit` = !!get_unit_expr) %>% + filter(PARAMCD == param & !is.na(`_unit`)) %>% + pull(`_unit`) %>% + unique() + + if (length(units) != 1L) { + message <- + message %||% + "Multiple units {.val {units}} found for {.val {param}}. Please review and update the units." + + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) + } + if (tolower(units) != tolower(required_unit)) { + message <- + message %||% + "It is expected that {.val {param}} has unit of {.val {required_unit}}. + In the input dataset the unit is {.val {units}}." + + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) + } + + invisible(dataset) +} + +#' Asserts That a Parameter Does Not Exist in the Dataset +#' +#' Checks if a parameter (`PARAMCD`) does not exist in a dataset. +#' +#' @param dataset A `data.frame` +#' @param param Parameter code to check +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if the parameter exists in the input +#' dataset. Otherwise, the dataset is returned invisibly. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' +#' @examples +#' library(dplyr) +#' +#' advs <- tribble( +#' ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, +#' "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, +#' "P02", "WEIGHT", 85.7, "kg", "WEIGHT", 85.7 +#' ) +#' assert_param_does_not_exist(advs, param = "HR") +#' try(assert_param_does_not_exist(advs, param = "WEIGHT")) +assert_param_does_not_exist <- function(dataset, + param, + arg_name = rlang::caller_arg(dataset), + message = NULL, + class = "assert_param_does_not_exist", + call = parent.frame()) { + assert_data_frame(dataset, required_vars = exprs(PARAMCD)) + if (param %in% unique(dataset$PARAMCD)) { + message <- + message %||% + "The parameter code {.val {param}} already exists in dataset {.arg {arg_name}}." + + cli_abort( + message = message, + class = c(class, "assert-admiraldev"), + call = call + ) + } + invisible(dataset) +} + +#' Is an Argument a Variable-Value List? +#' +#' Checks if the argument is a list of expressions where the expressions are +#' variable-value pairs. The value can be a symbol, a string, a numeric, an +#' expression, or `NA`. +#' +#' @param arg A function argument to be checked +#' @param required_elements A `character` vector of names that must be present in `arg` +#' @param accept_expr Should expressions on the right hand side be accepted? +#' @param accept_var Should unnamed variable names (e.g. `exprs(USUBJID)`) on the +#' right hand side be accepted? +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown. +#' @inheritParams assert_logical_scalar +#' +#' +#' @return +#' The function throws an error if `arg` is not a list of variable-value expressions. +#' Otherwise, the input it returned invisibly. +#' +#' @keywords assertion +#' @family assertion +#' @export +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' library(rlang) +#' +#' example_fun <- function(vars) { +#' assert_varval_list(vars) +#' } +#' example_fun(exprs(DTHDOM = "AE", DTHSEQ = AESEQ)) +#' +#' try(example_fun(exprs("AE", DTSEQ = AESEQ))) +assert_varval_list <- function(arg, # nolint + required_elements = NULL, + accept_expr = TRUE, + accept_var = FALSE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_varval_list", + call = parent.frame()) { + assert_logical_scalar(accept_expr) + assert_logical_scalar(accept_var) + assert_logical_scalar(optional) + assert_character_vector(required_elements, optional = TRUE) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + if (accept_expr) { + valid_vals <- "a symbol, character scalar, numeric scalar, an expression, or {.val {NA}}" + } else if (accept_var) { + valid_vals <- "a symbol, character scalar, numeric scalar, variable names or {.val {NA}}" + } else { + valid_vals <- "a symbol, character scalar, numeric scalar, or {.val {NA}}" + } + + if (!accept_var && (!inherits(arg, "list") || !is_named(arg))) { + cli_abort( + message = message %||% + c(paste0("Argument {.arg {arg_name}} must be a named list of expressions + where each element is ", valid_vals, ", but is {.obj_type_friendly {arg}}."), + i = "To create a list of expressions use {.fun exprs}." + ), + class = c(class, "assert-admiraldev"), + call = call + ) + } + + if (accept_var && (!contains_vars(arg))) { + cli_abort( + message = message %||% + c(paste0("Argument {.arg {arg_name}} must be a list of expressions where + each element is ", valid_vals, ", but is {.obj_type_friendly {arg}}."), + i = "To create a list of expressions use {.fun exprs}." + ), + class = c(class, "assert-admiraldev"), + call = call + ) + } + + if (!is.null(required_elements)) { + missing_elements <- setdiff(required_elements, names(arg)) + if (length(missing_elements) >= 1L) { + cli_abort( + message = message %||% + "The following required elements are missing from + argument {.arg {arg_name}}: {.val {missing_elements}}.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + } + + if (accept_expr) { + invalids <- arg[!map_lgl( + arg, + ~ is.symbol(.x) || + is.character(.x) || + is.numeric(.x) || + is.language(.x) || + is.atomic(.x) && is.na(.x) + )] + } else { + invalids <- arg[!map_lgl( + arg, + ~ is.symbol(.x) || + is.character(.x) || + is.numeric(.x) || + is.atomic(.x) && is.na(.x) + )] + } + if (length(invalids) > 0) { + cli_abort( + message = message %||% + c( + paste0( + "The elements of the list in argument {.arg {arg_name}} must be ", + valid_vals, "." + ), + i = glue_collapse( + glue("{{.val {names(invalids)}}} = {{.code {invalids}}} is of type + {{.cls {map_chr(invalids, typeof)}}}"), + sep = ", ", + last = ", and " + ) + ), + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(arg) +} + +#' Is an Argument a List of Expressions? +#' +#' Checks if the argument is a list of expressions. +#' +#' @param arg A function argument to be checked +#' @param required_elements A `character` vector of names that must be present in `arg` +#' @param named If set to `TRUE`, an error is issued if not all elements of the +#' list are named. +#' @param optional Is the checked argument optional? If set to `FALSE` and `arg` +#' is `NULL` then an error is thrown. +#' @inheritParams assert_logical_scalar +#' @return +#' The function throws an error if `arg` is not a list of expressions. +#' Otherwise, the input it returned invisibly. +#' +#' @keywords assertion +#' @family assertion +#' @export +#' +#' @examples +#' library(rlang) +#' +#' example_fun <- function(vars) { +#' assert_expr_list(vars) +#' } +#' example_fun(exprs(DTHDOM = "AE", DTHSEQ = AESEQ)) +#' +#' try(example_fun(exprs("AE", DTSEQ = AESEQ, !!list("a"), !!list("a")))) +assert_expr_list <- function(arg, # nolint + required_elements = NULL, + named = FALSE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_expr_list", + call = parent.frame()) { + assert_logical_scalar(named) + assert_logical_scalar(optional) + assert_character_vector(required_elements, optional = TRUE) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + if (!inherits(arg, "list")) { + cli_abort( + message = message %||% + c("Argument {.arg {arg_name}} must be a list of expressions + but is {.obj_type_friendly {arg}}.", + i = "To create a list of expressions use {.fun exprs}." + ), + class = c(class, "assert-admiraldev"), + call = call + ) + } + + if (named) { + assert_named(arg) + } + + if (!is.null(required_elements)) { + missing_elements <- setdiff(required_elements, names(arg)) + if (length(missing_elements) >= 1L) { + cli_abort( + message = message %||% + "The following required elements are missing from + argument {.arg {arg_name}}: {.val {missing_elements}}.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + } + + invalids <- !map_lgl( + arg, + ~ is_call(.x) || is_expression(.x) + ) + invalidargs <- arg[invalids] + index <- if_else(names(invalidargs) == "", as.character(which(invalids)), + paste0('"', names(invalidargs), '"') + ) + + if (any(invalids)) { + cli_abort( + message = message %||% + c("All elements of {.arg {arg_name}} must be an expression.", + i = glue_collapse( + glue("{{.arg {arg_name}[[{index}]]}} = + {{.code {invalidargs}}} is of type + {{.cls {map_chr(invalidargs, typeof)}}}"), + sep = ", ", + last = ", and " + ) + ), + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(arg) +} + +#' Is an Element of a List of Lists/Classes Fulfilling a Condition? +#' +#' Checks if the elements of a list of named lists/classes fulfill a certain +#' condition. If not, an error is issued and all elements of the list not +#' fulfilling the condition are listed. +#' +#' @param list A list to be checked +#' A list of named lists or classes is expected. +#' @param element The name of an element of the lists/classes +#' A character scalar is expected. +#' @param condition Condition to be fulfilled +#' The condition is evaluated for each element of the list. The element of the +#' lists/classes can be referred to by its name, e.g., `censor == 0` to check +#' the `censor` field of a class. +#' @param message_text Text to be displayed in the error message above +#' the listing of values that do not meet the condition. +#' The text should describe the condition to be fulfilled, +#' e.g., `"Error in {arg_name}: the censor values must be zero."`. +#' If `message` argument is specified, that text will be displayed and `message_text` +#' is ignored. +#' @param ... Objects required to evaluate the condition +#' If the condition contains objects apart from the element, they have to be +#' passed to the function. See the second example below. +#' @inheritParams assert_logical_scalar +#' +#' @return +#' An error if the condition is not met. The input otherwise. +#' +#' @keywords assertion +#' @family assertion +#' @export +#' +assert_list_element <- function(list, + element, + condition, + message_text, + arg_name = rlang::caller_arg(list), + message = NULL, + class = "assert_list_element", + call = parent.frame(), ...) { + assert_s3_class(list, "list") + assert_character_scalar(element) + condition <- assert_filter_cond(enexpr(condition)) + + # store elements of the lists/classes in a vector named as the element # + rlang::env_poke(current_env(), eval(element), lapply(list, `[[`, element)) + invalids <- !eval( + condition, + envir = list(...), + enclos = current_env() + ) + if (any(invalids)) { + invalids_idx <- which(invalids) + + # construct supplementary message listing elements that are not correct type + if (is.null(message)) { + info_msg <- glue_collapse( + glue( + "{{.code {arg_name}[[{invalids_idx}]]${element} = + {lapply(list[invalids_idx], `[[`, element)}}}" + ), + sep = ", ", last = ", and " + ) + message <- c( + message_text, + i = paste(" But,", info_msg) + ) + } + + cli_abort( + message = message, + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(list) +} + + +#' Is There a One to One Mapping between Variables? +#' +#' Checks if there is a one to one mapping between two lists of variables. +#' +#' @param dataset Dataset to be checked +#' +#' The variables specified for `vars1` and `vars2` are expected. +#' +#' @param vars1 First list of variables +#' +#' @param vars2 Second list of variables +#' +#' @param message string passed to `cli::cli_abort(message)`. When `NULL`, default messaging +#' is used (see examples for default messages). `"dataset_name"` can be used in messaging. +#' +#' @param dataset_name string indicating the label/symbol of the object being checked. +#' Default is `rlang::caller_arg(dataset)`. +#' @inheritParams assert_logical_scalar +#' +#' @return +#' An error if the condition is not meet. The input otherwise. +#' +#' @keywords assertion +#' @family assertion +#' @export +#' +#' @examples +#' library(dplyr) +#' library(rlang) +#' +#' df <- tribble( +#' ~SPECIES, ~SPECIESN, +#' "DOG", 1L, +#' "CAT", 2L, +#' "DOG", 1L +#' ) +#' +#' assert_one_to_one(df, vars1 = exprs(SPECIES), vars2 = exprs(SPECIESN)) +#' +#' df_many <- tribble( +#' ~SPECIES, ~SPECIESN, +#' "DOG", 1L, +#' "CAT", 2L, +#' "DOG", 3L +#' ) +#' +#' try( +#' assert_one_to_one(df_many, vars1 = exprs(SPECIES), vars2 = exprs(SPECIESN)) +#' ) +#' +#' try( +#' assert_one_to_one(df_many, vars1 = exprs(SPECIESN), vars2 = exprs(SPECIES)) +#' ) +assert_one_to_one <- function(dataset, + vars1, + vars2, + dataset_name = rlang::caller_arg(dataset), + message = NULL, + class = "assert_one_to_one", + call = parent.frame()) { + assert_vars(vars1) + assert_vars(vars2) + assert_data_frame(dataset, required_vars = expr_c(vars1, vars2)) + + uniques <- unique(select(dataset, !!!vars1, !!!vars2)) + one_to_many <- uniques %>% + group_by(!!!vars1) %>% + filter(n() > 1) %>% + arrange(!!!vars1) + + if (nrow(one_to_many) > 0) { + admiraldev_environment$one_to_many <- one_to_many + + message <- message %||% + c("For some values of {.val {vars2chr(vars1)}} there is more than one + value of {.val {vars2chr(vars2)}}", + "i" = "Call {.run admiral::get_one_to_many_dataset()} to get all one-to-many values." + ) + + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) + } + + many_to_one <- uniques %>% + group_by(!!!vars2) %>% + filter(n() > 1) %>% + arrange(!!!vars2) + + if (nrow(many_to_one) > 0) { + admiraldev_environment$many_to_one <- many_to_one + + message <- message %||% + c("There is more than one value of {.val {vars2chr(vars1)}} for some + values of {.val {vars2chr(vars2)}}", + "i" = "Call {.run admiral::get_many_to_one_dataset()} to get all many-to-one values." + ) + + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) + } + + invisible(dataset) +} + +#' Is a Variable in a Dataset a Date or Datetime Variable? +#' +#' Checks if a variable in a dataset is a date or datetime variable +#' +#' @param dataset The dataset where the variable is expected +#' +#' @param var The variable to check +#' +#' @param dataset_name The name of the dataset. If the argument is specified, the +#' specified name is displayed in the error message. +#' +#' @param var_name The name of the variable. If the argument is specified, the +#' specified name is displayed in the error message. +#' @param message (`string`)\cr +#' string passed to `cli::cli_abort(message)`. When `NULL`, default messaging +#' is used (see examples for default messages). `"var_name"` and `"dataset_name"`, +#' can be used in messaging. +#' @inheritParams assert_logical_scalar +#' +#' @return +#' The function throws an error if `var` is not a date or datetime variable in +#' `dataset` and returns the input invisibly otherwise. +#' +#' @export +#' +#' +#' @keywords assertion +#' +#' @examples +#' library(lubridate) +#' library(dplyr) +#' library(rlang) +#' +#' example_fun <- function(dataset, var) { +#' var <- assert_symbol(enexpr(var)) +#' assert_date_var(dataset = dataset, var = !!var) +#' } +#' +#' my_data <- tribble( +#' ~USUBJID, ~ADT, +#' "1", ymd("2020-12-06"), +#' "2", ymd("") +#' ) +#' +#' example_fun( +#' dataset = my_data, +#' var = ADT +#' ) +#' +#' try(example_fun( +#' dataset = my_data, +#' var = USUBJID +#' )) +#' +#' example_fun2 <- function(dataset, var) { +#' var <- assert_symbol(enexpr(var)) +#' assert_date_var( +#' dataset = dataset, +#' var = !!var, +#' dataset_name = "your_data", +#' var_name = "your_var" +#' ) +#' } +#' +#' try(example_fun2( +#' dataset = my_data, +#' var = USUBJID +#' )) +assert_date_var <- function(dataset, + var, + dataset_name = rlang::caller_arg(dataset), + var_name = rlang::caller_arg(var), + message = NULL, + class = "assert_date_var", + call = parent.frame()) { + var <- assert_symbol(enexpr(var)) + assert_data_frame(dataset, required_vars = exprs(!!var)) + assert_character_scalar(dataset_name) + assert_character_scalar(var_name) + column <- pull(dataset, !!var) + + if (!is.instant(column)) { + message <- message %||% + "Column {.val {var_name}} in dataset {.code {dataset_name}} must be + a date or datetime, but is {.obj_type_friendly {column}}." + + cli_abort( + message = message, + call = call, + class = c(class, "assert-admiraldev") + ) + } + + invisible(dataset) +} + +#' Is an object a date or datetime vector? +#' +#' Check if an object/vector is a date or datetime variable without needing a dataset as input +#' +#' @param arg The function argument to be checked +#' +#' @param optional Is the checked argument optional? If set to `FALSE` +#' and `arg` is `NULL` then the function `assert_date_vector` exits early and throw and error. +#' @inheritParams assert_logical_scalar +#' +#' @return +#' The function returns an error if `arg` is missing, or not a date or datetime variable +#' but otherwise returns an invisible output. +#' +#' @export +#' +#' +#' @keywords assertion +#' +#' @family assertion +#' +#' @examples +#' example_fun <- function(arg) { +#' assert_date_vector(arg) +#' } +#' +#' example_fun( +#' as.Date("2022-01-30", tz = "UTC") +#' ) +#' try(example_fun("1993-07-14")) +assert_date_vector <- function(arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_date_vector", + call = parent.frame()) { + assert_logical_scalar(optional) + + if (optional && is.null(arg)) { + return(invisible(arg)) + } + + if (!is.instant(arg)) { + cli_abort( + message = message %||% + "Argument {.arg {arg_name}} must be a date or datetime, but is {.obj_type_friendly {arg}}.", + class = c(class, "assert-admiraldev"), + call = call + ) + } + + invisible(arg) +} + +#' Are All Argument of the Same Type? +#' +#' +#' Checks if all arguments are of the same type. +#' +#' @param ... Arguments to be checked +#' @param .message character vector passed to `cli_abort(message)` when assertion fails. +#' @param .class character vector passed to `cli_abort(class)` when assertion fails. +#' @param .call environment passed to `cli_abort(call)` when assertion fails. +#' +#' +#' @return The function throws an error if not all arguments are of the same type. +#' +#' @export +#' +#' @keywords assertion +#' @family assertion +#' +#' @examples +#' example_fun <- function(true_value, false_value, missing_value) { +#' assert_same_type(true_value, false_value, missing_value) +#' } +#' +#' example_fun( +#' true_value = "Y", +#' false_value = "N", +#' missing_value = NA_character_ +#' ) +#' +#' try(example_fun( +#' true_value = 1, +#' false_value = 0, +#' missing_value = "missing" +#' )) +assert_same_type <- function(..., + .message = c( + "Arguments {.arg {arg_names}} must be the same type.", + i = paste( + "Argument types are", + paste0("{.arg ", arg_names, "} {.cls ", types, "}", + collapse = ", " + ) + ) + ), + .class = "assert_same_type", + .call = parent.frame()) { + args <- rlang::dots_list(..., .named = TRUE) + arg_names <- names(args) + types <- lapply(args, typeof) + + # if more than one type resent, return error + if (length(unique(types)) > 1) { + cli_abort( + message = .message, + class = c(.class, "assert-admiraldev"), + call = .call + ) + } + + invisible() +} diff --git a/R/call_derivation.R b/R/call_derivation.R index 52d1f76b8a..8c5af55088 100644 --- a/R/call_derivation.R +++ b/R/call_derivation.R @@ -72,7 +72,7 @@ #' derive_vars_merged( #' dataset_add = adsl, #' new_vars = exprs(TRTSDT, TRTEDT), -#' by_vars = exprs(USUBJID) +#' by_vars = get_admiral_option("subject_keys") #' ) #' #' ## While `derive_vars_dt()` can only add one variable at a time, using `call_derivation()` @@ -201,7 +201,7 @@ call_derivation <- function(dataset = NULL, derivation, variable_params, ...) { #' derive_vars_merged( #' dataset_add = adsl, #' new_vars = exprs(TRTSDT, TRTEDT), -#' by_vars = exprs(USUBJID) +#' by_vars = get_admiral_option("subject_keys") #' ) #' #' ## In order to derive both `ASTDT` and `AENDT` in `ADAE`, one can use `derive_vars_dt()` diff --git a/R/compat_friendly_type.R b/R/compat_friendly_type.R new file mode 100644 index 0000000000..7b19a3c58e --- /dev/null +++ b/R/compat_friendly_type.R @@ -0,0 +1,187 @@ +#' Return English-friendly messaging for object-types +#' +#' @param x Any R object. +#' @param value Whether to describe the value of `x`. +#' @param length Whether to mention the length of vectors and lists. +#' +#' @details This helper function aids us in forming user-friendly messages that gets +#' called through `what_is_it()`, which is often used in the assertion functions +#' to identify what object-type the user passed through an argument instead of +#' an expected-type. +#' +#' @export +#' +#' @return A string describing the type. Starts with an indefinite +#' article, e.g. "an integer vector". +#' +#' @keywords dev_utility +#' @family dev_utility +friendly_type_of <- function(x, value = TRUE, length = FALSE) { # nolint + lifecycle::deprecate_soft( + when = "1.1.0", + what = "admiraldev::friendly_type_of()", + details = "This function was primarily used in error messaging, and can be replaced + with 'cli' functionality: `cli::cli_abort('{.obj_type_friendly {letters}}')`." + ) + + if (rlang::is_missing(x)) { + return("absent") + } + + if (is.object(x)) { + if (inherits(x, "quosure")) { + type <- "quosure" + } else { + type <- paste(class(x), collapse = "/") + } + return(sprintf("a <%s> object", type)) + } + + if (!rlang::is_vector(x)) { + return(.rlang_as_friendly_type(typeof(x))) + } + + n_dim <- length(dim(x)) + + if (value && !n_dim) { + if (rlang::is_na(x)) { + return(switch(typeof(x), + logical = "`NA`", + integer = "an integer `NA`", + double = "a numeric `NA`", + complex = "a complex `NA`", + character = "a character `NA`", + .rlang_stop_unexpected_typeof(x) + )) + } + if (length(x) == 1 && !rlang::is_list(x)) { + return(switch(typeof(x), + logical = if (x) "`TRUE`" else "`FALSE`", + integer = "an integer", + double = "a number", + complex = "a complex number", + character = if (nzchar(x)) "a string" else "`\"\"`", + raw = "a raw value", + .rlang_stop_unexpected_typeof(x) + )) + } + if (length(x) == 0) { + return(switch(typeof(x), + logical = "an empty logical vector", + integer = "an empty integer vector", + double = "an empty numeric vector", + complex = "an empty complex vector", + character = "an empty character vector", + raw = "an empty raw vector", + list = "an empty list", + .rlang_stop_unexpected_typeof(x) + )) + } + } + + type <- .rlang_as_friendly_vector_type(typeof(x), n_dim) + + if (length && !n_dim) { + type <- paste0(type, sprintf(" of length %s", length(x))) + } + + type +} + +# Used in building `friendly_type_of()` above +.rlang_as_friendly_vector_type <- function(type, n_dim) { + if (type == "list") { + if (n_dim < 2) { + return("a list") + } else if (n_dim == 2) { + return("a list matrix") + } else { + return("a list array") + } + } + + type <- switch(type, + logical = "a logical %s", + integer = "an integer %s", + numeric = , # nolint + double = "a double %s", + complex = "a complex %s", + character = "a character %s", + raw = "a raw %s", + type = paste0("a ", type, " %s") + ) + + if (n_dim < 2) { + kind <- "vector" + } else if (n_dim == 2) { + kind <- "matrix" + } else { + kind <- "array" + } + sprintf(type, kind) +} + +# Used in building `friendly_type_of()` above +.rlang_as_friendly_type <- function(type) { + switch(type, + list = "a list", + NULL = "NULL", + environment = "an environment", + externalptr = "a pointer", + weakref = "a weak reference", + S4 = "an S4 object", + name = , # nolint + symbol = "a symbol", + language = "a call", + pairlist = "a pairlist node", + expression = "an expression vector", + char = "an internal string", + promise = "an internal promise", + ... = "an internal dots object", + any = "an internal `any` object", + bytecode = "an internal bytecode object", + primitive = , # nolint + builtin = , # nolint + special = "a primitive function", + closure = "a function", + type + ) +} + +# Used in building `friendly_type_of()` above +.rlang_stop_unexpected_typeof <- function(x, call = rlang::caller_env()) { + rlang::abort( + sprintf("Unexpected type <%s>.", typeof(x)), + call = call + ) +} + +#' @param x The object type which does not conform to `what`. Its +#' `friendly_type_of()` is taken and mentioned in the error message. +#' @param what The friendly expected type. +#' @param ... Arguments passed to [abort()]. +#' @inheritParams args_error_context +#' @noRd +stop_input_type <- function(x, + what, + ..., + arg = rlang::caller_arg(x), + call = rlang::caller_env()) { + # From compat-cli.R + format_arg <- rlang::env_get( + nm = "format_arg", + last = topenv(), + default = NULL + ) + if (!is.function(format_arg)) { + format_arg <- function(x) sprintf("`%s`", x) + } + + message <- sprintf( + "%s must be %s, not %s.", + format_arg(arg), + what, + friendly_type_of(x) + ) + rlang::abort(message, ..., call = call) +} diff --git a/R/create_single_dose_dataset.R b/R/create_single_dose_dataset.R index 7d255ad9d1..49fb0b0340 100644 --- a/R/create_single_dose_dataset.R +++ b/R/create_single_dose_dataset.R @@ -397,7 +397,7 @@ dose_freq_lookup <- tribble( #' # Select valid dose records, non-missing `EXSTDTC` and `EXDOSE`. #' ex_mod <- ex %>% #' filter(!is.na(EXSTDTC) & !is.na(EXDOSE)) %>% -#' derive_vars_merged(adsl_death, by_vars = exprs(STUDYID, USUBJID)) %>% +#' derive_vars_merged(adsl_death, by_vars = get_admiral_option("subject_keys")) %>% #' # Example, set up missing `EXDOSFRQ` as QD daily dosing regime. #' # Replace with study dosing regime per trial treatment. #' mutate(EXDOSFRQ = if_else(is.na(EXDOSFRQ), "QD", EXDOSFRQ)) %>% @@ -425,7 +425,7 @@ dose_freq_lookup <- tribble( #' # Select only unique values. #' # Removes duplicated records before final step. #' distinct( -#' STUDYID, USUBJID, EXTRT, EXDOSE, EXDOSFRQ, DCUTDT, DTHDT, EXSTDT, +#' !!!get_admiral_option("subject_keys"), EXTRT, EXDOSE, EXDOSFRQ, DCUTDT, DTHDT, EXSTDT, #' EXSTDTM, EXENDT, EXENDTM, EXSTDTC, EXENDTC #' ) #' @@ -435,10 +435,10 @@ dose_freq_lookup <- tribble( #' start_datetime = EXSTDTM, #' end_date = EXENDT, #' end_datetime = EXENDTM, -#' keep_source_vars = exprs( -#' STUDYID, USUBJID, EXTRT, EXDOSE, EXDOSFRQ, +#' keep_source_vars = c( +#' get_admiral_option("subject_keys"), exprs(EXTRT, EXDOSE, EXDOSFRQ, #' DCUTDT, EXSTDT, EXSTDTM, EXENDT, EXENDTM, EXSTDTC, EXENDTC -#' ) +#' )) #' ) create_single_dose_dataset <- function(dataset, dose_freq = EXDOSFRQ, @@ -450,7 +450,8 @@ create_single_dose_dataset <- function(dataset, lookup_column = CDISC_VALUE, nominal_time = NULL, keep_source_vars = expr_c( - exprs(USUBJID), dose_freq, start_date, start_datetime, + get_admiral_option("subject_keys"), + dose_freq, start_date, start_datetime, end_date, end_datetime )) { dose_freq <- assert_symbol(enexpr(dose_freq)) diff --git a/R/dataset_vignette.R b/R/dataset_vignette.R new file mode 100644 index 0000000000..156f28402a --- /dev/null +++ b/R/dataset_vignette.R @@ -0,0 +1,85 @@ +#' Output a Dataset in a Vignette in the admiral Format +#' +#' Output a dataset in a vignette with the pre-specified admiral format. +#' +#' @param dataset Dataset to output in the vignette +#' +#' @param display_vars Variables selected to demonstrate the outcome of the derivation +#' +#' Permitted Values: list of variables +#' +#' Default is NULL +#' +#' If `display_vars` is not NULL, only the selected variables are visible in the vignette while the +#' other variables are hidden. They can be made visible by clicking the`Choose the columns to +#' display` button. +#' +#' @param filter Filter condition +#' +#' The specified condition is applied to the dataset before it is displayed. +#' +#' Permitted Values: a condition +#' +#' @return A HTML table +#' +#' @keywords dev_utility +#' +#' @export +#' +dataset_vignette <- function(dataset, display_vars = NULL, filter = NULL) { + display_vars <- assert_vars(display_vars, optional = TRUE) + assert_data_frame(dataset, required_vars = display_vars) + filter <- assert_filter_cond(enexpr(filter), optional = TRUE) + + out <- dataset %>% + filter_if(filter) %>% + mutate(across(where(is.character), as.factor)) + + # Create a short markdown table when this function is called outside {pkgdown} + if (!identical(Sys.getenv("IN_PKGDOWN"), "true")) { + if (is.null(display_vars)) { + return(knitr::kable(utils::head(out, 10))) + } else { + return(knitr::kable(utils::head(select(out, !!!display_vars), 10))) + } + } + + if (!is.null(display_vars)) { + hide_columns <- which(!(colnames(out) %in% vars2chr(display_vars))) + cols_to_hide <- list(list(targets = hide_columns - 1, visible = FALSE)) + } else { + cols_to_hide <- list() + } + htmltools::tagList( + htmltools::htmlDependency( + name = "dt-scroll", + version = "1.0.0", + src = "www", + stylesheet = "style.css", + package = "admiraldev" + ), + DT::datatable( + out, + rownames = FALSE, + filter = "top", + height = "auto", + width = "auto", + extensions = c("Buttons", "ColReorder", "Scroller"), + options = list( + columnDefs = cols_to_hide, + searchHighlight = TRUE, + searching = TRUE, + pageLength = 5, + lengthMenu = c(5, 10, 15, 20, 50, 100), + dom = "ipl>", + buttons = list(list( + extend = "colvis", + text = "Choose the columns to display", + scroller = TRUE, + collectionLayout = "fixed two-column" + )), + colReorder = TRUE + ) + ) + ) +} diff --git a/R/derive_advs_params.R b/R/derive_advs_params.R index 7c95af4b86..a58bb2adca 100644 --- a/R/derive_advs_params.R +++ b/R/derive_advs_params.R @@ -322,7 +322,7 @@ compute_map <- function(diabp, sysbp, hr = NULL) { #' PARAM = "Body Surface Area (m^2)" #' ), #' get_unit_expr = extract_unit(PARAM), -#' constant_by_vars = exprs(USUBJID) +#' constant_by_vars = get_admiral_option("subject_keys") #' ) #' #' derive_param_bsa( @@ -334,7 +334,7 @@ compute_map <- function(diabp, sysbp, hr = NULL) { #' PARAM = "Body Surface Area (m^2)" #' ), #' get_unit_expr = extract_unit(PARAM), -#' constant_by_vars = exprs(USUBJID) +#' constant_by_vars = get_admiral_option("subject_keys") #' ) #' #' # Example 2: Derive BSA where height is measured only once and keep only one record @@ -630,7 +630,7 @@ compute_bsa <- function(height = height, #' PARAM = "Body Mass Index (kg/m^2)" #' ), #' get_unit_expr = extract_unit(PARAM), -#' constant_by_vars = exprs(USUBJID) +#' constant_by_vars = get_admiral_option("subject_keys") #' ) #' #' # Example 2: Derive BMI where height is measured only once and keep only one record diff --git a/R/derive_extreme_event.R b/R/derive_extreme_event.R index 774fe212fb..e0ba57b37d 100644 --- a/R/derive_extreme_event.R +++ b/R/derive_extreme_event.R @@ -141,7 +141,7 @@ #' # Add a new record for each USUBJID storing the the worst sleeping problem. #' derive_extreme_event( #' adqs, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' events = list( #' event( #' condition = PARAMCD == "NO SLEEP" & AVALC == "Y", @@ -192,7 +192,7 @@ #' #' derive_extreme_event( #' adhy, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' events = list( #' event( #' condition = is.na(CRIT1FL), @@ -263,13 +263,13 @@ #' ) %>% #' derive_vars_merged( #' dataset_add = adsl, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' new_vars = exprs(TRTSDT) #' ) #' #' derive_extreme_event( #' adrs, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' tmp_event_nr_var = event_nr, #' order = exprs(event_nr, ADT), #' mode = "first", diff --git a/R/derive_extreme_records.R b/R/derive_extreme_records.R index 1f6b4f1e43..cca455c978 100644 --- a/R/derive_extreme_records.R +++ b/R/derive_extreme_records.R @@ -140,7 +140,7 @@ #' derive_extreme_records( #' adlb, #' dataset_add = adlb, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVAL, AVISITN), #' mode = "first", #' filter_add = !is.na(AVAL), @@ -157,7 +157,7 @@ #' derive_extreme_records( #' adlb, #' dataset_add = adlb, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(desc(AVAL), AVISITN), #' mode = "first", #' filter_add = !is.na(AVAL), @@ -172,7 +172,7 @@ #' derive_extreme_records( #' adlb, #' dataset_add = adlb, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVISITN), #' mode = "last", #' set_values_to = exprs( @@ -213,7 +213,7 @@ #' adrs, #' dataset_ref = adsl, #' dataset_add = adrs, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' filter_add = PARAMCD == "OVR" & AVALC == "PD", #' order = exprs(ADT), #' exist_flag = AVALC, @@ -233,7 +233,7 @@ #' derive_extreme_records( #' dataset_ref = adsl, #' dataset_add = adsl, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' filter_add = !is.na(DTHDT), #' exist_flag = AVALC, #' true_value = "Y", diff --git a/R/derive_joined.R b/R/derive_joined.R index 5af5edf546..a6ef0c174b 100644 --- a/R/derive_joined.R +++ b/R/derive_joined.R @@ -256,7 +256,7 @@ #' derive_vars_joined( #' adbds, #' dataset_add = adbds, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVAL), #' new_vars = exprs(NADIR = AVAL), #' join_vars = exprs(ADY), @@ -291,7 +291,7 @@ #' derive_vars_joined( #' adae, #' dataset_add = adlb, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVAL, desc(ADY)), #' new_vars = exprs(HGB_MAX = AVAL, HGB_DY = ADY), #' join_type = "all", @@ -333,7 +333,7 @@ #' derive_vars_joined( #' adae, #' dataset_add = period_ref, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' join_vars = exprs(APERSDT, APEREDT), #' join_type = "all", #' filter_join = APERSDT <= ASTDT & ASTDT <= APEREDT @@ -360,7 +360,7 @@ #' derive_vars_joined( #' adae, #' dataset_add = ex, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(EXSDT = convert_dtc_to_dt(EXSDTC)), #' join_type = "all", #' new_vars = exprs(LDRELD = compute_duration( diff --git a/R/derive_locf_records.R b/R/derive_locf_records.R index 8a3679e746..44c1116287 100644 --- a/R/derive_locf_records.R +++ b/R/derive_locf_records.R @@ -106,7 +106,7 @@ #' derive_locf_records( #' dataset = advs, #' dataset_ref = advs_expected_obsv, -#' by_vars = exprs(STUDYID, USUBJID, PARAMCD), +#' by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), #' order = exprs(AVISITN, AVISIT), #' keep_vars = exprs(PARAMN) #' ) diff --git a/R/derive_merged.R b/R/derive_merged.R index 5f1c97dab2..6bd1532d4c 100644 --- a/R/derive_merged.R +++ b/R/derive_merged.R @@ -206,9 +206,9 @@ #' derive_vars_merged( #' vs, #' dataset_add = select(dm, -DOMAIN), -#' by_vars = exprs(STUDYID, USUBJID) +#' by_vars = get_admiral_option("subject_keys") #' ) %>% -#' select(STUDYID, USUBJID, VSTESTCD, VISIT, VSSTRESN, AGE, AGEU) +#' select(!!!get_admiral_option("subject_keys"), VSTESTCD, VISIT, VSSTRESN, AGE, AGEU) #' #' #' # Merge last weight to adsl @@ -222,14 +222,14 @@ #' derive_vars_merged( #' adsl, #' dataset_add = vs, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(convert_dtc_to_dtm(VSDTC)), #' mode = "last", #' new_vars = exprs(LASTWGT = VSSTRESN, LASTWGTU = VSSTRESU), #' filter_add = VSTESTCD == "WEIGHT", #' exist_flag = vsdatafl #' ) %>% -#' select(STUDYID, USUBJID, AGE, AGEU, LASTWGT, LASTWGTU, vsdatafl) +#' select(!!!get_admiral_option("subject_keys"), AGE, AGEU, LASTWGT, LASTWGTU, vsdatafl) #' #' #' # Derive treatment start datetime (TRTSDTM) @@ -251,7 +251,7 @@ #' derive_vars_merged( #' select(dm, STUDYID, USUBJID), #' dataset_add = ex_ext, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' new_vars = exprs(TRTSDTM = EXSTDTM, TRTSDTF = EXSTDTF, TRTSTMF = EXSTTMF), #' order = exprs(EXSTDTM), #' mode = "first" @@ -270,7 +270,7 @@ #' select(adsl, STUDYID, USUBJID), #' dataset_add = ex_ext, #' filter_add = !is.na(EXENDTM), -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' new_vars = exprs(TRTEDTM = EXENDTM, TRTETMF = EXENTMF), #' order = exprs(EXENDTM), #' mode = "last" @@ -296,7 +296,7 @@ #' derive_vars_merged( #' adsl, #' dataset_add = advs, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' new_vars = exprs( #' LSTVSCAT = if_else(AVISIT == "BASELINE", "BASELINE", "POST-BASELINE") #' ), @@ -532,11 +532,11 @@ derive_vars_merged <- function(dataset, #' derive_var_merged_exist_flag( #' dm, #' dataset_add = ae, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' new_var = AERELFL, #' condition = AEREL == "PROBABLE" #' ) %>% -#' select(STUDYID, USUBJID, AGE, AGEU, AERELFL) +#' select(!!!get_admiral_option("subject_keys"), AGE, AGEU, AERELFL) #' #' vs <- tribble( #' ~STUDYID, ~DOMAIN, ~USUBJID, ~VISIT, ~VSTESTCD, ~VSSTRESN, ~VSBLFL, @@ -556,14 +556,14 @@ derive_vars_merged <- function(dataset, #' derive_var_merged_exist_flag( #' dm, #' dataset_add = vs, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", #' new_var = WTBLHIFL, #' condition = VSSTRESN > 90, #' false_value = "N", #' missing_value = "M" #' ) %>% -#' select(STUDYID, USUBJID, AGE, AGEU, WTBLHIFL) +#' select(!!!get_admiral_option("subject_keys"), AGE, AGEU, WTBLHIFL) derive_var_merged_exist_flag <- function(dataset, dataset_add, by_vars, @@ -890,7 +890,7 @@ get_not_mapped <- function() { #' derive_var_merged_summary( #' adsl, #' dataset_add = adtr, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' filter_add = AVISIT == "BASELINE", #' new_vars = exprs(LESIONSBL = paste(LESIONID, collapse = ", ")) #' ) diff --git a/R/derive_param_computed.R b/R/derive_param_computed.R index d71c1b1455..280f1fef1e 100644 --- a/R/derive_param_computed.R +++ b/R/derive_param_computed.R @@ -218,7 +218,7 @@ #' AVALU = "kg/m^2" #' ), #' constant_parameters = c("HEIGHT"), -#' constant_by_vars = exprs(USUBJID) +#' constant_by_vars = get_admiral_option("subject_keys") #' ) #' #' # Example 3: Using data from an additional dataset and other variables than AVAL @@ -274,7 +274,7 @@ #' #' derive_param_computed( #' dataset_add = adlb_tbilialk, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' parameters = c("ALK2", "TBILI2"), #' set_values_to = exprs( #' AVALC = if_else(AVALC.TBILI2 == "Y" & AVALC.ALK2 == "Y", "Y", "N"), diff --git a/R/derive_param_exposure.R b/R/derive_param_exposure.R index bec404c3e8..a794c59973 100644 --- a/R/derive_param_exposure.R +++ b/R/derive_param_exposure.R @@ -122,7 +122,7 @@ #' adex %>% #' derive_param_exposure( #' dataset_add = adex, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' set_values_to = exprs( #' PARAMCD = "TDOSE", #' PARCAT1 = "OVERALL", @@ -136,7 +136,7 @@ #' adex %>% #' derive_param_exposure( #' dataset_add = adex, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' filter_add = VISIT %in% c("WEEK 2", "WEEK 24"), #' set_values_to = exprs( #' PARAMCD = "AVDW224", @@ -151,7 +151,7 @@ #' adex %>% #' derive_param_exposure( #' dataset_add = adex, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' set_values_to = exprs( #' PARAMCD = "TADJ", #' PARCAT1 = "OVERALL", diff --git a/R/derive_param_extreme_record.R b/R/derive_param_extreme_record.R index 22de29cecd..6b918d5d6e 100644 --- a/R/derive_param_extreme_record.R +++ b/R/derive_param_extreme_record.R @@ -121,7 +121,7 @@ #' ) #' ), #' source_datasets = list(cm = cm, pr = pr), -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(ADT), #' mode = "first", #' set_values_to = exprs( diff --git a/R/derive_var_extreme_flag.R b/R/derive_var_extreme_flag.R index 29f4c9f28a..467b028561 100644 --- a/R/derive_var_extreme_flag.R +++ b/R/derive_var_extreme_flag.R @@ -207,7 +207,7 @@ #' ) %>% #' derive_var_extreme_flag( #' new_var = AOCCIFL, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(TEMP_AESEVN, AESTDY, AESEQ), #' mode = "first" #' ) %>% @@ -222,7 +222,7 @@ #' ) %>% #' derive_var_extreme_flag( #' new_var = AOCCIFL, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(TEMP_AESEVN, AESTDY), #' mode = "first", #' flag_all = TRUE diff --git a/R/derive_var_joined_exist_flag.R b/R/derive_var_joined_exist_flag.R index 77cc28a95b..35fcd287d6 100644 --- a/R/derive_var_joined_exist_flag.R +++ b/R/derive_var_joined_exist_flag.R @@ -259,7 +259,7 @@ #' adae, #' dataset_add = adae, #' new_var = ALCOVFL, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' join_vars = exprs(ACOVFL, ADY), #' join_type = "all", #' order = exprs(ADY), @@ -283,7 +283,7 @@ #' derive_var_joined_exist_flag( #' data, #' dataset_add = data, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' new_var = CONFFL, #' join_vars = exprs(AVALC, AVISITN), #' join_type = "after", @@ -314,7 +314,7 @@ #' derive_var_joined_exist_flag( #' data, #' dataset_add = data, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' join_vars = exprs(AVALC), #' join_type = "after", #' order = exprs(AVISITN), @@ -348,7 +348,7 @@ #' derive_var_joined_exist_flag( #' data, #' dataset_add = data, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' join_vars = exprs(AVALC, ADY), #' join_type = "after", #' order = exprs(ADY), @@ -382,7 +382,7 @@ #' derive_var_joined_exist_flag( #' data, #' dataset_add = data, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' new_var = CONFFL, #' tmp_obs_nr_var = tmp_obs_nr, #' join_vars = exprs(CRIT1FL), diff --git a/R/derive_var_merged_ef_msrc.R b/R/derive_var_merged_ef_msrc.R index 8f1e743ac8..f1aae1fddc 100644 --- a/R/derive_var_merged_ef_msrc.R +++ b/R/derive_var_merged_ef_msrc.R @@ -107,7 +107,7 @@ #' #' derive_var_merged_ef_msrc( #' adsl, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' flag_events = list( #' flag_event( #' dataset_name = "cm", diff --git a/R/derive_var_relative_flag.R b/R/derive_var_relative_flag.R index 20fe6377e9..a95235a7af 100644 --- a/R/derive_var_relative_flag.R +++ b/R/derive_var_relative_flag.R @@ -97,7 +97,7 @@ #' #' derive_var_relative_flag( #' adae, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(ASTDY, AESEQ), #' new_var = PSTCOVFL, #' condition = ACOVFL == "Y", @@ -128,7 +128,7 @@ #' # Flag observations up to first PD for each patient #' response %>% #' derive_var_relative_flag( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVISITN), #' new_var = ANL02FL, #' condition = AVALC == "PD", @@ -142,7 +142,7 @@ #' restrict_derivation( #' derivation = derive_var_relative_flag, #' args = params( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVISITN), #' new_var = ANL02FL, #' condition = AVALC == "PD", diff --git a/R/derive_vars_computed.R b/R/derive_vars_computed.R index 264c5091df..3618415c42 100644 --- a/R/derive_vars_computed.R +++ b/R/derive_vars_computed.R @@ -153,7 +153,7 @@ #' derive_vars_computed( #' dataset = adsl, #' dataset_add = advs, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' parameters = c("WEIGHT", "HEIGHT"), #' new_vars = exprs(BMIBL = compute_bmi(height = AVAL.HEIGHT, weight = AVAL.WEIGHT)), #' filter_add = ABLFL == "Y" diff --git a/R/derive_vars_extreme_event.R b/R/derive_vars_extreme_event.R index 0bb6da293c..307fc4408b 100644 --- a/R/derive_vars_extreme_event.R +++ b/R/derive_vars_extreme_event.R @@ -124,7 +124,7 @@ #' #' derive_vars_extreme_event( #' adsl, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' events = list( #' event( #' dataset_name = "adsl", @@ -176,7 +176,7 @@ #' #' derive_vars_extreme_event( #' adsl, -#' by_vars = exprs(STUDYID, USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' events = list( #' event( #' dataset_name = "ae", diff --git a/R/dev_utilities.R b/R/dev_utilities.R new file mode 100644 index 0000000000..55d33cbc45 --- /dev/null +++ b/R/dev_utilities.R @@ -0,0 +1,208 @@ +#' Negated Value Matching +#' +#' Returns a `logical` vector indicating if there is *no* match of the +#' left operand in the right operand. +#' +#' @param x The values to be matched +#' @param table The values to be matched against +#' +#' @return A `logical` vector +#' +#' +#' @keywords dev_utility +#' @family dev_utility +#' @export +`%notin%` <- function(x, table) { # nolint + !(x %in% table) +} + +#' Helper Function to Convert Date (or Date-time) Objects to Characters of dtc Format +#' (-DTC type of variable) +#' +#' @param dtm date or date-time +#' +#' @return `character` vector +#' +#' +#' @keywords dev_utility +#' @family dev_utility +#' @export +convert_dtm_to_dtc <- function(dtm) { + stopifnot(lubridate::is.instant(dtm)) + format(dtm, "%Y-%m-%dT%H:%M:%S") +} + +#' Extract Argument Name from an Expression +#' +#' @param expr An expression created inside a function using `substitute()` +#' +#' +#' @return `character` vector +#' +#' @keywords dev_utility +#' @family dev_utility +#' +#' @export +arg_name <- function(expr) { # nolint + lifecycle::deprecate_soft( + when = "1.1.0", + what = "admiraldev::arg_name()", + details = "This function was primarily used in error messaging, and can be + replaced with `assert_*(x, arg_name = rlang::caller_arg(x))`" + ) + + if (length(expr) == 1L && is.symbol(expr)) { + deparse(expr) + } else if (length(expr) == 2L && + (expr[[1L]] == quote(enexpr) || expr[[1L]] == quote(rlang::enexpr)) && + is.symbol(expr[[2L]])) { + deparse(expr[[2L]]) + } else if (is.call(expr) && length(expr) >= 2 && is.symbol(expr[[2]])) { + deparse(expr[[2L]]) + } else if (is.call(expr) && length(expr) >= 2 && is.call(expr[[2]])) { + arg_name(expr[[2L]]) + } else { + abort(paste0("Could not extract argument name from `", deparse(expr), "`")) + } +} + +#' Extract All Symbols from a List of Expressions +#' +#' @param x An `R` object +#' @param side One of `"lhs"` (the default) or `"rhs"` for formulas +#' +#' @return A list of expressions +#' +#' +#' @keywords dev_utility +#' @family dev_utility +#' @export +#' +#' @examples +#' library(rlang) +#' extract_vars(exprs(PARAMCD, (BASE - AVAL) / BASE + 100)) +#' extract_vars(AVAL ~ ARMCD + AGEGR1) +#' extract_vars(AVAL ~ ARMCD + AGEGR1, side = "rhs") +extract_vars <- function(x, side = "lhs") { + if (is.null(x)) { + NULL + } else if (is.list(x)) { + do.call(expr_c, map(x, extract_vars, side)) + } else if (is_expression(x) && !is_formula(x)) { + syms(all.vars(x)) + } else if (is_formula(x)) { + funs <- list("lhs" = f_lhs, "rhs" = f_rhs) + assert_character_scalar(side, values = names(funs)) + extract_vars(expr(!!funs[[side]](x))) + } else if (is_call(x)) { + extract_vars(as.list(x[-1])) + } +} + +#' Or +#' +#' @param lhs Any valid R expression +#' @param rhs Any valid R expression +#' +#' @details +#' The function evaluates the expression `lhs` and if this expression results +#' in an error, it catches that error and proceeds with evaluating the expression +#' `rhs` and returns that result. +#' +#' @return Either the result of evaluating `lhs`, `rhs` or an error +#' +#' @export +#' +#' @keywords dev_utility +#' @family dev_utility +`%or%` <- function(lhs, rhs) { + tryCatch(lhs, error = function(e) rhs) +} + +#' Valid Time Units +#' +#' Contains the acceptable character vector of valid time units +#' +#' @return A `character` vector of valid time units +#' +#' @export +#' +#' @keywords dev_utility +#' @family dev_utility +valid_time_units <- function() { + c("years", "months", "days", "hours", "minutes", "seconds") +} + +#' check that argument contains valid variable(s) created with `exprs()` or +#' Source Variables from a List of Expressions +#' +#' @param arg A function argument to be checked +#' +#' @return A `TRUE` if variables were valid variable +#' +#' @export +#' +#' @keywords dev_utility +#' @family dev_utility +contains_vars <- function(arg) { + inherits(arg, "list") && all(map_lgl(arg, is_symbol) | names(arg) != "") +} + +#' Turn a List of Expressions into a Character Vector +#' +#' @param expressions A `list` of expressions created using [`exprs()`] +#' +#' @param quosures *Deprecated*, please use `expressions` instead. +#' +#' @return A character vector +#' +#' +#' @export +#' +#' @keywords dev_utility +#' @family dev_utility +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' library(rlang) +#' +#' vars2chr(exprs(USUBJID, AVAL)) +vars2chr <- function(expressions, quosures) { + if (!missing(quosures)) { + deprecate_stop( + "0.10.0", + "vars2chr(quosures = )", + "vars2chr(expressions = )" + ) + } + rlang::set_names( + map_chr(expressions, as_string), + names(expressions) + ) +} + +#' Optional Filter +#' +#' Filters the input dataset if the provided expression is not `NULL` +#' +#' @param dataset Input dataset +#' @param filter A filter condition. Must be an expression. +#' +#' @return A `data.frame` containing all rows in `dataset` matching `filter` or +#' just `dataset` if `filter` is `NULL` +#' +#' +#' @export +#' +#' @keywords dev_utility +#' @family dev_utility +#' +filter_if <- function(dataset, filter) { + assert_data_frame(dataset, check_is_grouped = FALSE) + assert_filter_cond(filter, optional = TRUE) + if (is.null(filter)) { + dataset + } else { + filter(dataset, !!filter) + } +} diff --git a/R/duplicates.R b/R/duplicates.R index 7af84275c8..1d87984895 100644 --- a/R/duplicates.R +++ b/R/duplicates.R @@ -26,7 +26,7 @@ #' # Duplicate the first record #' adsl <- rbind(admiral_adsl[1L, ], admiral_adsl) #' -#' signal_duplicate_records(adsl, exprs(USUBJID), cnd_type = "warning") +#' signal_duplicate_records(adsl, get_admiral_option("subject_keys"), cnd_type = "warning") #' #' get_duplicates_dataset() get_duplicates_dataset <- function() { @@ -54,7 +54,7 @@ get_duplicates_dataset <- function() { #' # Duplicate the first record #' adsl <- rbind(admiral_adsl[1L, ], admiral_adsl) #' -#' extract_duplicate_records(adsl, exprs(USUBJID)) +#' extract_duplicate_records(adsl, get_admiral_option("subject_keys")) extract_duplicate_records <- function(dataset, by_vars) { assert_expr_list(by_vars) assert_data_frame(dataset, required_vars = extract_vars(by_vars), check_is_grouped = FALSE) @@ -105,7 +105,7 @@ extract_duplicate_records <- function(dataset, by_vars) { #' # Duplicate the first record #' adsl <- rbind(admiral_adsl[1L, ], admiral_adsl) #' -#' signal_duplicate_records(adsl, exprs(USUBJID), cnd_type = "message") +#' signal_duplicate_records(adsl, get_admiral_option("subject_keys"), cnd_type = "message") signal_duplicate_records <- function(dataset, by_vars, msg = "Dataset contains duplicate records with respect to diff --git a/R/event.R b/R/event.R index 96517f08d9..990f1b601f 100644 --- a/R/event.R +++ b/R/event.R @@ -262,13 +262,13 @@ event <- function(dataset_name = NULL, #' ) %>% #' derive_vars_merged( #' dataset_add = adsl, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' new_vars = exprs(TRTSDT) #' ) #' #' derive_extreme_event( #' adrs, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(ADT), #' mode = "first", #' source_datasets = list(adsl = adsl), diff --git a/R/expect_dfs_equal.R b/R/expect_dfs_equal.R new file mode 100644 index 0000000000..e705fb8883 --- /dev/null +++ b/R/expect_dfs_equal.R @@ -0,0 +1,59 @@ +#' Expectation: Are Two Datasets Equal? +#' +#' Uses [diffdf::diffdf()] to compares 2 datasets for any differences. This function can be +#' thought of as an R-equivalent of SAS proc compare and a useful tool for unit testing as well. +#' +#' @param base Input dataset +#' @param compare Comparison dataset +#' @param keys `character` vector of variables that define a unique row in the +#' `base` and `compare` datasets +#' @param ... Additional arguments passed onto [diffdf::diffdf()] +#' +#' @return +#' An error if `base` and `compare` do not match or `NULL` invisibly if they do +#' +#' @keywords test_helper +#' @family test_helper +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' +#' tbl1 <- tribble( +#' ~USUBJID, ~AGE, ~SEX, +#' "1001", 18, "M", +#' "1002", 19, "F", +#' "1003", 20, "M", +#' "1004", 18, "F" +#' ) +#' +#' tbl2 <- tribble( +#' ~USUBJID, ~AGE, ~SEX, +#' "1001", 18, "M", +#' "1002", 18.9, "F", +#' "1003", 20, NA +#' ) +#' +#' try(expect_dfs_equal(tbl1, tbl2, keys = "USUBJID")) +#' +#' tlb3 <- tribble( +#' ~USUBJID, ~AGE, ~SEX, +#' "1004", 18, "F", +#' "1003", 20, "M", +#' "1002", 19, "F", +#' "1001", 18, "M", +#' ) +#' +#' # Note the sorting order of the keys is not required +#' expect_dfs_equal(tbl1, tlb3, keys = "USUBJID") +#' +#' @export +expect_dfs_equal <- function(base, compare, keys, ...) { + diff <- diffdf::diffdf(base, compare, keys, suppress_warnings = TRUE, ...) + if (diffdf::diffdf_has_issues(diff)) { + msg <- capture.output(print(diff)) + testthat::fail(msg) + } else { + testthat::succeed() + invisible() + } +} diff --git a/R/filter_exist.R b/R/filter_exist.R index dfa50d331c..1716351a84 100644 --- a/R/filter_exist.R +++ b/R/filter_exist.R @@ -67,7 +67,7 @@ #' filter_exist( #' dataset = adsl, #' dataset_add = adae, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' filter_add = AEDECOD == "FATIGUE" & AESEV %in% c("MODERATE", "SEVERE") #' ) #' @@ -152,7 +152,7 @@ filter_exist <- function(dataset, #' filter_not_exist( #' dataset = adsl, #' dataset_add = adcm, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' filter_add = str_detect(CMTRT, "VITAMIN") #' ) #' diff --git a/R/filter_extreme.R b/R/filter_extreme.R index 63bf63838d..313207b788 100644 --- a/R/filter_extreme.R +++ b/R/filter_extreme.R @@ -81,7 +81,7 @@ #' # Select first dose for each patient #' ex %>% #' filter_extreme( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(EXSEQ), #' mode = "first" #' ) %>% @@ -91,7 +91,7 @@ #' ex %>% #' filter(EXTRT != "PLACEBO") %>% #' filter_extreme( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(EXDOSE), #' mode = "last", #' check_type = "none" diff --git a/R/filter_joined.R b/R/filter_joined.R index 6a34e107d0..74c3a6d5f5 100644 --- a/R/filter_joined.R +++ b/R/filter_joined.R @@ -268,7 +268,7 @@ #' filter_joined( #' adae, #' dataset_add = adae, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' join_vars = exprs(ACOVFL, ADY), #' join_type = "all", #' order = exprs(ADY), @@ -292,7 +292,7 @@ #' filter_joined( #' data, #' dataset_add = data, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' join_vars = exprs(AVALC, AVISITN), #' join_type = "after", #' order = exprs(AVISITN), @@ -322,7 +322,7 @@ #' filter_joined( #' data, #' dataset_add = data, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' join_vars = exprs(AVALC), #' join_type = "after", #' order = exprs(AVISITN), @@ -355,7 +355,7 @@ #' filter_joined( #' data, #' dataset_add = data, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' join_vars = exprs(AVALC, ADY), #' join_type = "after", #' order = exprs(ADY), @@ -388,7 +388,7 @@ #' filter_joined( #' data, #' dataset_add = data, -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' tmp_obs_nr_var = tmp_obs_nr, #' join_vars = exprs(CRIT1FL), #' join_type = "all", diff --git a/R/filter_relative.R b/R/filter_relative.R index f614a01f73..d1c4e00431 100644 --- a/R/filter_relative.R +++ b/R/filter_relative.R @@ -98,7 +98,7 @@ #' # Select observations up to first PD for each patient #' response %>% #' filter_relative( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVISITN), #' condition = AVALC == "PD", #' mode = "first", @@ -109,7 +109,7 @@ #' # Select observations after last CR, PR, or SD for each patient #' response %>% #' filter_relative( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVISITN), #' condition = AVALC %in% c("CR", "PR", "SD"), #' mode = "last", @@ -120,7 +120,7 @@ #' # Select observations from first response to first PD #' response %>% #' filter_relative( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVISITN), #' condition = AVALC %in% c("CR", "PR"), #' mode = "first", @@ -129,7 +129,7 @@ #' keep_no_ref_groups = FALSE #' ) %>% #' filter_relative( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' order = exprs(AVISITN), #' condition = AVALC == "PD", #' mode = "first", diff --git a/R/get.R b/R/get.R new file mode 100644 index 0000000000..c209a564ce --- /dev/null +++ b/R/get.R @@ -0,0 +1,140 @@ +#' Get Constant Variables +#' +#' @param dataset A data frame. +#' @param by_vars By variables +#' The groups defined by the by variables are considered separately. I.e., if +#' a variable is constant within each by group, it is returned. +#' +#' @param ignore_vars Variables to ignore +#' The specified variables are not considered, i.e., they are not returned +#' even if they are constant (unless they are included in the by variables). +#' +#' *Permitted Values:* A list of variable names or selector function calls +#' like `starts_with("EX")` +#' +#' @keywords get +#' @family get +#' +#' +#' @return Variable vector. +#' @export +get_constant_vars <- function(dataset, by_vars, ignore_vars = NULL) { + assert_data_frame(dataset, optional = FALSE) + assert_vars(by_vars, optional = FALSE) + assert_vars(ignore_vars, optional = TRUE) + + non_by_vars <- setdiff(names(dataset), vars2chr(by_vars)) + + if (!is.null(ignore_vars)) { + non_by_vars <- setdiff( + non_by_vars, + vars_select(non_by_vars, !!!ignore_vars) + ) + } + + # get unique values within each group by variables + unique_count <- dataset %>% + group_by(!!!by_vars) %>% + summarise(across(!!non_by_vars, n_distinct)) %>% + ungroup() %>% + select(!!!syms(non_by_vars)) + + # determine variables which are constant within each by group + constant_vars <- unique_count %>% + map_lgl(~ all(.x == 1)) %>% + which() %>% + names() %>% + syms() + + exprs(!!!by_vars, !!!constant_vars) +} + + +#' Get Duplicates From a Vector +#' +#' @param x An atomic vector +#' +#' @return A vector of the same type as `x` contain duplicate values +#' @export +#' +#' @keywords get +#' @family get +#' +#' @export +#' +#' @examples +#' get_duplicates(1:10) +#' +#' get_duplicates(c("a", "a", "b", "c", "d", "d")) +get_duplicates <- function(x) { + assert_atomic_vector(x) + + unique(x[duplicated(x)]) +} + +#' Get Source Variables from a List of Expressions +#' +#' @param expressions A list of expressions +#' +#' @param quosures *Deprecated*, please use `expressions` instead. +#' +#' +#' @keywords get +#' @family get +#' +#' @return A list of expressions +#' @export +get_source_vars <- function(expressions, quosures) { + if (!missing(quosures)) { + deprecate_stop( + "0.10.0", + "get_source_vars(quosures = )", + "get_source_vars(expressions = )" + ) + } + assert_varval_list(expressions, optional = TRUE) + + source_vars <- expr_c(expressions)[lapply(expr_c(expressions), is.symbol) == TRUE] + + if (length(source_vars) == 0) { + NULL + } else { + source_vars + } +} +#' Retrieve a Dataset from the `admiraldev_environment` environment +#' +#' @details +#' +#' Sometimes, developers may want to provide information to users which does not fit into a +#' warning or error message. For example, if the input dataset of a function contains unexpected +#' records, these can be stored in a separate dataset, which users can access to investigate +#' the issue. +#' +#' To achieve this, R has a data structure known as an 'environment'. These environment objects +#' are created at build time, but can be populated with values after the package has been loaded +#' and update those values over the course of an R session. +#' +#' As so, the establishment of `admiraldev_environment` allows us to create dynamic data/objects +#' based on user-inputs that need modification. The purpose of `get_dataset` is to +#' retrieve the datasets contained inside `admiraldev_environment`. +#' +#' Currently we only support two datasets inside our `admiraldev_environment` object: +#' - `one_to_many` +#' - `many_to_one` +#' +#' +#' @param name The name of the dataset to retrieve +#' +#' @return A `data.frame` +#' +#' +#' @keywords get +#' @family get +#' +#' @export +get_dataset <- function(name) { + assert_character_scalar(name, values = c("one_to_many", "many_to_one")) + + admiraldev_environment[[name]] +} diff --git a/R/get_flagged_records.R b/R/get_flagged_records.R index 5801440ff3..1b330657ba 100644 --- a/R/get_flagged_records.R +++ b/R/get_flagged_records.R @@ -56,7 +56,7 @@ #' new_var = AERELFL, #' condition = AEREL == "PROBABLE" #' ) %>% -#' select(STUDYID, USUBJID, AERELFL) +#' select(!!!get_admiral_option("subject_keys"), AERELFL) #' #' vs <- tribble( #' ~STUDYID, ~DOMAIN, ~USUBJID, ~VISIT, ~VSTESTCD, ~VSSTRESN, ~VSBLFL, @@ -79,7 +79,7 @@ #' condition = VSSTRESN > 90, #' filter = VSTESTCD == "WEIGHT" & VSBLFL == "Y" #' ) %>% -#' select(STUDYID, USUBJID, WTBLHIFL) +#' select(!!!get_admiral_option("subject_keys"), WTBLHIFL) #' get_flagged_records <- function(dataset, new_var, diff --git a/R/global.R b/R/global.R new file mode 100644 index 0000000000..387062b7e2 --- /dev/null +++ b/R/global.R @@ -0,0 +1,10 @@ +# R CMD check will generate NOTE(s) with message 'no visible binding for +# global variable xyz'. Adding this 'xyz' variable to this file will remove +# this note. See `?globalVariables` for more information. +globalVariables(c( + "_unit", + "auto", + "name", + "PARAMCD", + "where" # this entry should be moved to @importFrom tidyselect once we use tidyselect 1.2.0 +)) diff --git a/R/hello.R b/R/hello.R new file mode 100644 index 0000000000..d8eb18e147 --- /dev/null +++ b/R/hello.R @@ -0,0 +1,9 @@ +#' Print Hello World +#' +#' @export +#' @return +#' +#' @examples +hello <- function() { + print("Hello World!") +} diff --git a/R/is.R b/R/is.R new file mode 100644 index 0000000000..73cf60e998 --- /dev/null +++ b/R/is.R @@ -0,0 +1,60 @@ +#' Checks if the argument equals the auto keyword +#' +#' @param arg argument to check +#' +#' @return `TRUE` if the argument equals the auto keyword, i.e., it is an +#' expression of a symbol named auto. +#' +#' +#' @keywords is +#' @family is +#' @export +is_auto <- function(arg) { + is_symbol(arg) && arg == expr(auto) +} + +#' Is order vars? +#' +#' Check if inputs are created using `exprs()` or calls involving `desc()` +#' @param arg An R object +#' +#' @return `FALSE` if the argument is not a list of order vars +#' +#' @export +#' +#' @keywords is +#' @family is +is_order_vars <- function(arg) { + is_desc_call <- function(expr) { + is_call(expr) && + length(expr) == 2L && + deparse(expr[[1L]]) == "desc" && + is_symbol(expr[[2L]]) + } + + inherits(arg, "list") && + all(map_lgl(arg, ~ is.symbol(.x) || is_desc_call(.x))) +} + +#' Is this string a valid DTC +#' +#' @param arg A `character` vector +#' +#' @return `TRUE` if the argument is a valid `--DTC` string, `FALSE` otherwise +#' @export +#' @keywords is +#' @family is +#' +is_valid_dtc <- function(arg) { + twod <- "(\\d{2}|-)" + pattern <- paste0( + "^(\\d{4}|-)?", + "(-", twod, ")?", + "(-", twod, ")?", + "(T", twod, ")?", + "(:", twod, ")?", + "(:", twod, "(.(\\d{1,5}))?)?$" + ) + + grepl(pattern, arg) | arg == "" | is.na(arg) +} diff --git a/R/joins.R b/R/joins.R new file mode 100644 index 0000000000..43a8632a20 --- /dev/null +++ b/R/joins.R @@ -0,0 +1,42 @@ +#' Join Functions +#' +#' The `*_join()` functions from `{dplyr}` without a warning on different attributes +#' in datasets. +#' +#' @param x `data.frame` +#' @param y `data.frame` +#' @param by `character` vector +#' @param copy `logical` +#' @param suffix `character` vector +#' @param ... Additional arguments +#' +#' @return `data.frame` +#' +#' @keywords joins +#' +#' @rdname joins +#' @export +anti_join <- function(x, y, by = NULL, copy = FALSE, ...) { + suppress_warning( + dplyr::anti_join(x, y, by = by, copy = copy, ...), + "^Column `.+` has different attributes on LHS and RHS of join$" + ) +} + +#' @rdname joins +#' @export +inner_join <- function(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...) { + suppress_warning( + dplyr::inner_join(x, y, by = by, copy = copy, suffix = suffix, ...), + "^Column `.+` has different attributes on LHS and RHS of join$" + ) +} + +#' @rdname joins +#' @export +left_join <- function(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...) { + suppress_warning( + dplyr::left_join(x, y, by = by, copy = copy, suffix = suffix, ...), + "^Column `.+` has different attributes on LHS and RHS of join$" + ) +} diff --git a/R/period_dataset.R b/R/period_dataset.R index 01fa37ce5d..0c9cf1ab3c 100644 --- a/R/period_dataset.R +++ b/R/period_dataset.R @@ -305,7 +305,7 @@ create_period_dataset <- function(dataset, #' dataset_ref = period_ref, #' new_vars = exprs(APxxSDT = APERSDT, APxxEDT = APEREDT) #' ) %>% -#' select(STUDYID, USUBJID, AP01SDT, AP01EDT, AP02SDT, AP02EDT) +#' select(!!!get_admiral_option("subject_keys"), AP01SDT, AP01EDT, AP02SDT, AP02EDT) #' #' # Add phase variables to ADSL #' phase_ref <- tribble( @@ -325,7 +325,7 @@ create_period_dataset <- function(dataset, #' dataset_ref = phase_ref, #' new_vars = exprs(PHwSDT = PHSDT, PHwEDT = PHEDT, APHASEw = APHASE) #' ) %>% -#' select(STUDYID, USUBJID, PH1SDT, PH1EDT, PH2SDT, PH2EDT, APHASE1, APHASE2) +#' select(!!!get_admiral_option("subject_keys"), PH1SDT, PH1EDT, PH2SDT, PH2EDT, APHASE1, APHASE2) #' #' # Add subperiod variables to ADSL #' subperiod_ref <- tribble( @@ -348,7 +348,8 @@ create_period_dataset <- function(dataset, #' dataset_ref = subperiod_ref, #' new_vars = exprs(PxxSwSDT = ASPRSDT, PxxSwEDT = ASPREDT) #' ) %>% -#' select(STUDYID, USUBJID, P01S1SDT, P01S1EDT, P01S2SDT, P01S2EDT, P02S1SDT, P02S1EDT) +#' select(!!!get_admiral_option("subject_keys"), P01S1SDT, P01S1EDT, P01S2SDT, P01S2EDT, +#' P02S1SDT, P02S1EDT) derive_vars_period <- function(dataset, dataset_ref, new_vars, diff --git a/R/process_set_values_to.R b/R/process_set_values_to.R new file mode 100644 index 0000000000..9399883d4d --- /dev/null +++ b/R/process_set_values_to.R @@ -0,0 +1,113 @@ +#' Process `set_values_to` Argument +#' +#' The function creates the variables specified by the `set_values_to` argument, +#' catches errors, provides user friendly error messages, and optionally checks +#' the type of the created variables. +#' +#' @param dataset Input dataset +#' +#' @param set_values_to Variables to set +#' +#' A named list returned by `exprs()` defining the variables to be set, e.g. +#' `exprs(PARAMCD = "OS", PARAM = "Overall Survival")` is expected. The values +#' must be symbols, character strings, numeric values, expressions, or `NA`. +#' +#' @param expected_types +#' +#' If the argument is specified, the specified variables are checked whether +#' the specified type matches the type of the variables created by +#' `set_values_to`. +#' +#' *Permitted Values*: A character vector with values `"numeric"` or +#' `"character"` +#' +#' +#' @return The input dataset with the variables specified by `set_values_to` +#' added/updated +#' +#' @family utils_help +#' @keywords utils_help +#' +#' @export +#' +#' @examples +#' library(dplyr) +#' data <- tribble( +#' ~AVAL, +#' 20 +#' ) +#' +#' try( +#' process_set_values_to( +#' data, +#' set_values_to = exprs( +#' PARAMCD = BMI +#' ) +#' ) +#' ) +#' +#' try( +#' process_set_values_to( +#' data, +#' set_values_to = exprs( +#' PARAMCD = 42 +#' ), +#' expected_types = c(PARAMCD = "character") +#' ) +#' ) +process_set_values_to <- function(dataset, + set_values_to = NULL, + expected_types = NULL) { + assert_data_frame(dataset) + assert_varval_list(set_values_to, optional = TRUE) + assert_character_vector( + expected_types, + values = c("numeric", "character"), + named = TRUE, + optional = TRUE + ) + + tryCatch( + result <- mutate(dataset, !!!set_values_to), + error = function(cnd) { + cli_abort( + message = + c("Assigning variables failed!", + "*" = "{.code set_values_to = exprs({paste(names(set_values_to), '=', + set_values_to, collapse = ', ')})}", + "See error message below:", + conditionMessage(cnd) + ), + call = parent.frame(n = 4) + ) + } + ) + if (!is.null(expected_types)) { + types <- map_chr(result, typeof) %>% + map_chr(function(x) if_else(x %in% c("integer", "double"), "numeric", x)) + vars_to_check <- intersect(names(set_values_to), names(expected_types)) + if (length(vars_to_check) > 0) { + actual <- types[vars_to_check] + expected <- expected_types[vars_to_check] + unexpected <- actual != expected + if (any(unexpected)) { + cli_abort( + message = + "The following variables have an unexpected type:" |> + c(stats::setNames( + paste0( + names(actual[unexpected]), + ": expected is {.cls ", + expected[unexpected], + "}, but it is {.cls ", + actual[unexpected], + "}." + ), + nm = rlang::rep_along(actual[unexpected], "*") + )) + ) + } + } + } + result +} diff --git a/R/quo.R b/R/quo.R new file mode 100644 index 0000000000..10fccb9fb0 --- /dev/null +++ b/R/quo.R @@ -0,0 +1,158 @@ +#' Concatenate One or More Expressions +#' +#' @param ... One or more expressions or list of expressions +#' +#' @return A list of expressions +#' +#' @keywords quo +#' @family quo +#' +#' @export +expr_c <- function(...) { + # Transform single expression into list of expression + inputs <- map( + list(...), + function(x) { + if (typeof(x) != "list") { + list(x) + } else { + x + } + } + ) + inputs <- flatten(inputs) + stopifnot(all(map_lgl(inputs, is_expression))) + is_null <- map_lgl(inputs, is.null) + inputs[!is_null] +} + +#' Replace Expression Value with Name +#' +#' @param expressions A list of expressions +#' +#' @param quosures *Deprecated*, please use `expressions` instead. +#' +#' +#' @keywords quo +#' @family quo +#' +#' +#' @return A list of expressions +#' @export +#' +#' @examples +#' library(rlang) +#' replace_values_by_names(exprs(AVAL, ADT = convert_dtc_to_dt(EXSTDTC))) +replace_values_by_names <- function(expressions, quosures) { + if (!missing(quosures)) { + deprecate_stop( + "0.3.0", + "replace_values_by_names(quosures = )", + "replace_values_by_names(expressions = )" + ) + } + if (is.null(names(expressions))) { + return(expressions) + } + map2(expressions, names(expressions), function(e, n) { + if (n == "") { + return(e) + } + as.symbol(n) + }) +} + +#' Replace Symbols in an Expression +#' +#' Replace symbols in an expression +#' +#' @param expression Expression +#' +#' @param target Target symbol +#' +#' @param replace Replacing symbol +#' +#' @author Stefan Bundfuss +#' +#' @return The expression where every occurrence of the symbol `target` is +#' replaced by `replace` +#' +#' @keywords quo +#' @family quo +#' +#' @export +#' +#' @examples +#' +#' library(rlang) +#' +#' replace_symbol_in_expr(expr(AVAL), target = AVAL, replace = AVAL.join) +#' replace_symbol_in_expr(expr(AVALC), target = AVAL, replace = AVAL.join) +#' replace_symbol_in_expr(expr(desc(AVAL)), target = AVAL, replace = AVAL.join) +replace_symbol_in_expr <- function(expression, + target, + replace) { + assert_expr(expression) + target <- assert_symbol(enexpr(target)) + replace <- assert_symbol(enexpr(replace)) + if (is.symbol(expression)) { + if (expression == target) { + expression <- replace + } + } else { + for (i in seq_along(expression)) { + if (expression[[i]] == target) { + expression[[i]] <- replace + } + } + } + expression +} + +#' Add a Suffix to Variables in a List of Expressions +#' +#' Add a suffix to variables in a list of expressions +#' +#' @param order List of expressions +#' +#' *Permitted Values*: list of variables or `desc()` function calls +#' created by `exprs()`, e.g., `exprs(ADT, desc(AVAL))` +#' +#' @param vars Variables to change +#' +#' *Permitted Values*: list of variables created by `exprs()` +#' +#' @param suffix Suffix +#' +#' *Permitted Values*: A character scalar +#' +#' +#' @return The list of expression where for each element the suffix (`suffix`) is +#' added to every symbol specified for `vars` +#' +#' @keywords quo +#' @family quo +#' +#' @export +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' library(rlang) +#' +#' add_suffix_to_vars(exprs(ADT, desc(AVAL), AVALC), vars = exprs(AVAL), suffix = ".join") +add_suffix_to_vars <- function(order, + vars, + suffix) { + assert_expr_list(order) + assert_vars(vars) + assert_character_scalar(suffix) + for (i in seq_along(vars)) { + order <- lapply( + order, + replace_symbol_in_expr, + target = !!vars[[i]], + replace = !!sym(paste0(as_label(vars[[i]]), suffix)) + ) + } + order +} diff --git a/R/quote.R b/R/quote.R new file mode 100644 index 0000000000..0286a169c2 --- /dev/null +++ b/R/quote.R @@ -0,0 +1,95 @@ +#' Enumerate Multiple Elements +#' +#' Enumerate multiple elements of a vector or list. +#' +#' @param x A vector or list +#' @param quote_fun Quoting function, defaults to `backquote`. If set to `NULL`, +#' the elements are not quoted. +#' @param conjunction Character to be used in the message, defaults to `"and"`. +#' +#' +#' @return A `character` vector +#' +#' @keywords quote +#' @family quote +#' +#' @examples +#' enumerate(c("one", "two", "three")) +#' +#' enumerate(c(1, 2, 3), quote_fun = NULL) +#' +#' @export +enumerate <- function(x, quote_fun = backquote, conjunction = "and") { + lifecycle::deprecate_soft( + when = "1.1.0", + what = "admiraldev::enumerate()", + details = "This function was primarily used in error messaging, and can be + replaced with 'cli' functionality: `cli::cli_abort('{.val {letters[1:3]}}')`" + ) + + if (is.null(quote_fun)) { + quote_fun <- function(x) x + } + if (length(x) == 1L) { + quote_fun(x) + } else { + paste( + paste0(quote_fun(x[-length(x)]), collapse = ", "), + conjunction, + quote_fun(x[length(x)]) + ) + } +} + +#' Wrap a String in Backquotes +#' +#' @param x A `character` vector +#' +#' +#' @return A `character` vector +#' +#' @keywords quote +#' @family quote +#' +#' @export +backquote <- function(x) { + paste0("`", x, "`") +} + +#' Wrap a String in Single Quotes +#' +#' @param x A `character` vector +#' +#' +#' @return A `character` vector +#' +#' @keywords quote +#' @family quote +#' +#' @export +squote <- function(x) { + paste0("'", x, "'") +} + +#' Wrap a String in Double Quotes +#' +#' Wrap a string in double quotes, e.g., for displaying character values in +#' messages. +#' +#' @param x A character vector +#' +#' @return If the input is `NULL`, the text `"NULL"` is returned. Otherwise, the +#' input in double quotes is returned. +#' +#' +#' @keywords quote +#' @family quote +#' +#' @export +dquote <- function(x) { + if (is.null(x)) { + "NULL" + } else { + paste0("\"", x, "\"") + } +} diff --git a/R/restrict_derivation.R b/R/restrict_derivation.R index c130e71a5d..7a4de8e42f 100644 --- a/R/restrict_derivation.R +++ b/R/restrict_derivation.R @@ -47,7 +47,7 @@ #' adlb, #' derivation = derive_vars_merged, #' args = params( -#' by_vars = exprs(USUBJID), +#' by_vars = get_admiral_option("subject_keys"), #' dataset_add = adlb, #' filter_add = ABLFL == "Y", #' new_vars = exprs(BASE = AVAL) @@ -60,7 +60,7 @@ #' adlb, #' derivation = derive_var_base, #' args = params( -#' by_vars = exprs(USUBJID) +#' by_vars = get_admiral_option("subject_keys") #' ), #' filter = AVISITN >= 0 #' ) %>% diff --git a/R/tmp_vars.R b/R/tmp_vars.R new file mode 100644 index 0000000000..44c4ebf819 --- /dev/null +++ b/R/tmp_vars.R @@ -0,0 +1,115 @@ +#' Get a New Temporary Variable Name for a Dataset +#' +#' @param dataset The input dataset +#' @param prefix The prefix of the new temporary variable name to create +#' +#' @details +#' The function returns a new unique temporary variable name to be used inside +#' `dataset`. The temporary variable names have the structure `prefix_n` where +#' `n` is an integer, e.g. `tmp_var_1`. If there is already a variable inside +#' `datset` with a given `prefix` then the suffix is increased by 1, e.g. if +#' `tmp_var_1` already exists then `get_new_tmp_var()` will return `tmp_var_2`. +#' +#' @return The name of a new temporary variable as a symbol +#' +#' @keywords tmp_vars +#' @seealso [remove_tmp_vars()] +#' +#' @export +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' dm <- tribble( +#' ~DOMAIN, ~STUDYID, ~USUBJID, +#' "DM", "STUDY X", "01-701-1015", +#' "DM", "STUDY X", "01-701-1016", +#' ) +#' +#' tmp_var <- get_new_tmp_var(dm) +#' mutate(dm, !!tmp_var := NA) +get_new_tmp_var <- function(dataset, prefix = "tmp_var") { + assert_data_frame(dataset, optional = TRUE) + assert_character_scalar(prefix) + if (!str_detect(prefix, "^tmp_")) { + cli_abort("{.arg prefix} must start with {.val tmp_}.") + } + + caller_env <- parent.frame() + + if (is.null(dataset)) { + colnames_with_prefix <- vector("character") + } else { + regexp <- str_c("^", prefix, "_[0-9]{1,}$") + colnames_with_prefix <- str_subset(colnames(dataset), regexp) + } + if (!is.null(caller_env$.tmp_vars)) { + suffices <- str_extract(caller_env$.tmp_vars, "[0-9]{1,}$") + counter <- max(as.integer(suffices)) + 1L + } else if (length(colnames_with_prefix) > 0L) { + suffices <- str_extract(colnames_with_prefix, "[0-9]{1,}$") + counter <- max(as.integer(suffices)) + 1L + } else { + counter <- 1L + } + + new_tmp_var <- str_c(prefix, counter, sep = "_") + caller_env$.tmp_vars <- c(caller_env$.tmp_vars, new_tmp_var) + + sym(new_tmp_var) +} + +#' Remove All Temporary Variables Created Within the Current Function Environment +#' +#' @param dataset The input dataset +#' +#' @export +#' +#' @keywords tmp_vars +#' @seealso [get_new_tmp_var()] +#' +#' @return +#' The input dataset with temporary variables removed +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' dm <- tribble( +#' ~DOMAIN, ~STUDYID, ~USUBJID, +#' "DM", "STUDY X", "01-701-1015", +#' "DM", "STUDY X", "01-701-1016", +#' ) +#' dm <- select(dm, USUBJID) +#' tmp_var <- get_new_tmp_var(dm) +#' dm <- mutate(dm, !!tmp_var := NA) +#' +#' ## This function creates two new temporary variables which are removed when calling +#' ## `remove_tmp_vars()`. Note that any temporary variable created outside this +#' ## function is **not** removed +#' do_something <- function(dataset) { +#' tmp_var_1 <- get_new_tmp_var(dm) +#' tmp_var_2 <- get_new_tmp_var(dm) +#' dm %>% +#' mutate(!!tmp_var_1 := NA, !!tmp_var_2 := NA) %>% +#' print() %>% +#' remove_tmp_vars() +#' } +#' +#' do_something(dm) +remove_tmp_vars <- function(dataset) { + # In order to find the "correct" calling environment we have to make sure to + # exclude all calls relating to the use of `%>%` from the call stack + calls <- lapply(sys.calls(), function(x) paste(deparse(x), collapse = " ")) + contains_pipe <- map_lgl(calls, str_detect, "%>%") + + if (any(contains_pipe)) { + last_pipe <- max(which(contains_pipe)) + tmp_vars <- sys.frame(last_pipe - 1L)$.tmp_vars + } else { + tmp_vars <- parent.frame()$.tmp_vars + } + + if (is.null(tmp_vars)) { + dataset + } else { + dataset[, colnames(dataset) %notin% tmp_vars] + } +} diff --git a/R/utils.R b/R/utils.R new file mode 100644 index 0000000000..866eb6902a --- /dev/null +++ b/R/utils.R @@ -0,0 +1,11 @@ +enumerate <- function(x) { + paste( + paste0(backquote(x[-length(x)]), collapse = ", "), + "and", + backquote(x[length(x)]) + ) +} + +backquote <- function(x) { + paste0("`", x, "`") +} diff --git a/R/warnings.R b/R/warnings.R new file mode 100644 index 0000000000..4590e0c3f8 --- /dev/null +++ b/R/warnings.R @@ -0,0 +1,200 @@ +#' Warn If a Variable Already Exists +#' +#' Warn if a variable already exists inside a dataset +#' +#' @param dataset A `data.frame` +#' @param vars `character` vector of columns to check for in `dataset` +#' +#' @return No return value, called for side effects +#' +#' +#' @keywords warnings +#' @family warnings +#' +#' @export +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' dm <- tribble( +#' ~USUBJID, ~ARM, +#' "01-701-1015", "Placebo", +#' "01-701-1016", "Placebo", +#' ) +#' +#' ## No warning as `AAGE` doesn't exist in `dm` +#' warn_if_vars_exist(dm, "AAGE") +#' +#' ## Issues a warning +#' warn_if_vars_exist(dm, "ARM") +warn_if_vars_exist <- function(dataset, vars) { + existing_vars <- vars[vars %in% colnames(dataset)] + if (length(existing_vars) >= 1L) { + cli::cli_warn("{cli::qty(length(existing_vars))}Variable{?s} {.val {existing_vars}} + already {?exists/exist} in the dataset.") + } + + invisible(NULL) +} + +#' Warn If a Vector Contains Unknown Datetime Format +#' +#' Warn if the vector contains unknown datetime format such as +#' "2003-12-15T-:15:18", "2003-12-15T13:-:19","--12-15","-----T07:15" +#' +#' @param dtc a character vector containing the dates +#' @param is_valid a logical vector indicating whether elements in `dtc` are valid +#' +#' @return No return value, called for side effects +#' +#' +#' @keywords warnings +#' @family warnings +#' +#' @export +#' +#' @examples +#' +#' ## No warning as `dtc` is a valid date format +#' warn_if_invalid_dtc(dtc = "2021-04-06") +#' +#' ## Issues a warning +#' warn_if_invalid_dtc(dtc = "2021-04-06T-:30:30") +warn_if_invalid_dtc <- function(dtc, is_valid = is_valid_dtc(dtc)) { + if (!all(is_valid)) { + incorrect_dtc <- dtc[!is_valid] + incorrect_dtc_row <- rownames(as.data.frame(dtc))[!is_valid] + tbl <- paste("Row", incorrect_dtc_row, ": --DTC =", incorrect_dtc) + main_msg <- paste( + "Dataset contains incorrect datetime format:", + "--DTC may be incorrectly imputed on row(s)" + ) + + info <- paste0( + "ISO representations of the form YYYY-MM-DDThh:mm:ss.ddd are expected, ", + "e.g., 2003-12-15T13:15:17.123. Missing parts at the end can be omitted. ", + "Missing parts in the middle must be represented by a dash, e.g., 2003---15.", + sep = "\n" + ) + cli::cli_warn(c(main_msg, "*" = tbl, "*" = info)) + } +} + +#' Warn if incomplete dtc +#' +#' @param dtc A `character` vector of date-times in ISO 8601 format +#' @param n A non-negative integer +#' +#' @return A warning if `dtc` contains any partial dates +#' @export +#' +#' @keywords warnings +#' @family warnings +#' +warn_if_incomplete_dtc <- function(dtc, n) { + is_complete_dtc <- (nchar(dtc) >= n | is.na(dtc)) + if (n == 10) { + dt_dtm <- "date" + funtext <- "convert_dtc_to_dt" + } else if (n == 19) { + dt_dtm <- "datetime" + funtext <- "convert_dtc_to_dtm" + } + if (!all(is_complete_dtc)) { + incomplete_dtc <- dtc[!is_complete_dtc] + incomplete_dtc_row <- rownames(as.data.frame(dtc))[!is_complete_dtc] + tbl <- paste("Row", incomplete_dtc_row, ": --DTC = ", incomplete_dtc) + msg <- paste0( + "Dataset contains partial ", dt_dtm, " format. ", + "The function ", funtext, " expect a complete ", dt_dtm, ". ", + "Please use the function `impute_dtc()` to build a complete ", dt_dtm, "." + ) + warn(paste(msg, capture.output(print(tbl)), collapse = "\n")) + } +} + + +#' Warn If Two Lists are Inconsistent +#' +#' Checks if two list inputs have the same names and same number of elements and +#' issues a warning otherwise. +#' +#' @param base A named list +#' +#' @param compare A named list +#' +#' @param list_name A string +#' the name of the list +#' +#' @param i the index id to compare the 2 lists +#' +#' +#' @return a `warning` if the 2 lists have different names or length +#' +#' @keywords warnings +#' @family warnings +#' +#' @export +#' +#' @examples +#' library(dplyr, warn.conflicts = FALSE) +#' library(rlang) +#' +#' # no warning +#' warn_if_inconsistent_list( +#' base = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ), +#' compare = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ), +#' list_name = "Test" +#' ) +#' # warning +#' warn_if_inconsistent_list( +#' base = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ, DTHVAR = "text"), +#' compare = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ), +#' list_name = "Test" +#' ) +warn_if_inconsistent_list <- function(base, compare, list_name, i = 2) { + if (paste(sort(names(base)), collapse = " ") != paste(sort(names(compare)), collapse = " ")) { + warn( + paste0( + "The variables used for traceability in `", list_name, + "` are not consistent, please check:\n", + paste( + "source", i - 1, ", Variables are given as:", + paste(sort(names(base)), collapse = " "), "\n" + ), + paste( + "source", i, ", Variables are given as:", + paste(sort(names(compare)), collapse = " ") + ) + ) + ) + } +} + +#' Suppress Specific Warnings +#' +#' Suppress certain warnings issued by an expression. +#' +#' @param expr Expression to be executed +#' +#' @param regexpr Regular expression matching warnings to suppress +#' +#' @return Return value of the expression +#' +#' @keywords warnings +#' @family warnings +#' +#' @details +#' All warnings which are issued by the expression and match the regular expression +#' are suppressed. +#' +#' @export +suppress_warning <- function(expr, regexpr) { + withCallingHandlers( + expr, + warning = function(w) { + if (any(grepl(regexpr, w$message))) { + invokeRestart("muffleWarning") + } + } + ) +} diff --git a/R/what.R b/R/what.R new file mode 100644 index 0000000000..71706fe36e --- /dev/null +++ b/R/what.R @@ -0,0 +1,49 @@ +#' What Kind of Object is This? +#' +#' Returns a string describing what kind of object the input is. +#' +#' @param x Any R object +#' +#' @return A `character` description of the type of `x` +#' +#' +#' @keywords what +#' @family what +#' +#' @export +#' +#' @examples +#' what_is_it("abc") +#' what_is_it(1L) +#' what_is_it(1:10) +#' what_is_it(mtcars) +what_is_it <- function(x) { + lifecycle::deprecate_soft( + when = "1.1.0", + what = "admiraldev::what_is_it()", + details = "This function was primarily used in error messaging, and can be replaced + with 'cli' functionality: `cli::cli_abort('{.obj_type_friendly {letters}}')`." + ) + + if (is.null(x)) { + "`NULL`" + } else if (is.factor(x)) { + "a factor" + } else if (is.symbol(x)) { + "a symbol" + } else if (isS4(x)) { + sprintf("a S4 object of class '%s'", class(x)[1L]) + } else if (is.atomic(x) && length(x) == 1L) { + if (is.character(x)) { + paste0("`\"", x, "\"`") + } else { + paste0("`", x, "`") + } + } else if (is.atomic(x) || class(x)[1L] == "list") { + friendly_type_of(x) + } else if (is.data.frame(x)) { + "a data frame" + } else { + sprintf("an object of class '%s'", class(x)[1L]) + } +} diff --git a/README.Rmd b/README.Rmd new file mode 100644 index 0000000000..2e52a8f35e --- /dev/null +++ b/README.Rmd @@ -0,0 +1,67 @@ +--- +title: "admiraldev" +output: md_document +date: '2022-06-27' +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +link <- function(text, url) { + return( + paste0( + "[", text, "]", + "(", url, ")" + ) + ) +} +dyn.link <- function(text, base_url, relative_url = "") { + branch <- Sys.getenv("BRANCH_NAME", "main") + return( + link( + text, + paste(base_url, branch, relative_url, sep = "/") + ) + ) +} + +# Other variables +admiral_homepage <- "https://pharmaverse.github.io/admiral" +``` + + + +# admiraldev + +Utility Functions and Development Tools for the Admiral Package Family + + + +[![CRAN status](https://www.r-pkg.org/badges/version/admiraldev)](https://CRAN.R-project.org/package=admiraldev) +[![Test Coverage](https://raw.githubusercontent.com/pharmaverse/admiraldev/badges/main/test-coverage.svg)](https://github.com/pharmaverse/admiraldev/actions/workflows/common.yml) + + + + +## Purpose + +Functions, tools and documentation for developing core `{admiral}` and extension package functions. Most functions in `{admiraldev}` are around testing inputs going into functions. There are also additional quality of life functions/Addins to assist developers of `{admiral}` or `{admiral}` extension packages, functions to help with rendering documentation, Developer Guides on developing function and using GitHub, GitHub Actions. + +**NOTE:** This package is not intended for standalone use but rather as a central dependency for `{admiral}` and its extension packages + +## Installation + +The package is available from CRAN and can be installed by running `install.packages("admiraldev")`. + +To install the latest development version of the package directly from GitHub use the following code: + +```{r, eval = FALSE} +if (!requireNamespace("remotes", quietly = TRUE)) { + install.packages("remotes") +} + +remotes::install_github("pharmaverse/admiraldev") +``` + +## Release Schedule + +`{admiraldev}` is to be released to CRAN at the same time as an official release of `{admiral}`. You can find the release schedule for `{admiral}` packages [here](https://pharmaverse.github.io/admiral/#release-schedule). diff --git a/admiraldev.Rproj b/admiraldev.Rproj new file mode 100644 index 0000000000..934df4886b --- /dev/null +++ b/admiraldev.Rproj @@ -0,0 +1,22 @@ +Version: 1.0 + +RestoreWorkspace: No +SaveWorkspace: No +AlwaysSaveHistory: Yes + +EnableCodeIndexing: Yes +UseSpacesForTab: Yes +NumSpacesForTab: 2 +Encoding: UTF-8 + +RnwWeave: Sweave +LaTeX: pdfLaTeX + +AutoAppendNewline: Yes +StripTrailingWhitespace: Yes +LineEndingConversion: Posix + +BuildType: Package +PackageUseDevtools: Yes +PackageInstallArgs: --no-multiarch --with-keep.source +PackageRoxygenize: rd,collate,namespace diff --git a/inst/rstudio/addins.dcf b/inst/rstudio/addins.dcf new file mode 100644 index 0000000000..41efae4d5a --- /dev/null +++ b/inst/rstudio/addins.dcf @@ -0,0 +1,4 @@ +Name: Format test_that test file +Description: Updates current test_that test file by adding a function name, a test number, and a section +Binding: format_test_that_file +Interactive: false diff --git a/inst/templates/ad_adae.R b/inst/templates/ad_adae.R index 8c1f718fe0..520e301ea6 100644 --- a/inst/templates/ad_adae.R +++ b/inst/templates/ad_adae.R @@ -40,7 +40,7 @@ adae <- ae %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by = exprs(STUDYID, USUBJID) ) %>% ## Derive analysis start time ---- derive_vars_dtm( @@ -88,7 +88,7 @@ adae <- adae %>% ## Derive last dose date/time ---- derive_vars_joined( dataset_add = ex_ext, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(STUDYID, USUBJID), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -116,7 +116,7 @@ adae <- adae %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(desc(ASEVN), ASTDTM, AESEQ), new_var = AOCCIFL, mode = "first" @@ -128,7 +128,7 @@ adae <- adae %>% adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(STUDYID, USUBJID) ) diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index 26dac22f08..0870bfc55e 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -32,7 +32,7 @@ adlb_annotated <- adlb %>% ., derivation = derive_var_merged_exist_flag, dataset_add = ., - by_vars = c(get_admiral_option("subject_keys"), exprs(LBSEQ, PARAMCD, ADT)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), LBSEQ, PARAMCD, ADT), variable_params = list( params( new_var = CRIT1FL, @@ -43,7 +43,7 @@ adlb_annotated <- adlb %>% ) ) ) %>% - select(USUBJID, STUDYID, TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) + select(STUDYID, USUBJID, TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) # Subset Datasets altast_records <- adlb_annotated %>% @@ -56,7 +56,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADY), join_type = "all", filter_join = ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", @@ -65,11 +65,11 @@ hylaw_records <- derive_vars_joined( ) hylaw_records_pts_visits <- hylaw_records %>% - select(USUBJID, STUDYID, TRT01A) %>% # add AVISIT, ADT for by visit + select(STUDYID, USUBJID, TRT01A) %>% # add AVISIT, ADT for by visit distinct() hylaw_records_fls <- hylaw_records %>% - select(USUBJID, STUDYID, TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit + select(STUDYID, USUBJID, TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit distinct() # Create new parameters based on records that present potential case @@ -79,7 +79,7 @@ hylaw_params <- derive_param_exist_flag( condition = CRIT1FL == "Y" & BILI_CRITFL == "Y", false_value = "N", missing_value = "N", - by_vars = c(get_admiral_option("subject_keys"), exprs(TRT01A)), # add AVISIT, ADT for by visit + by_vars = exprs(!!!get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit set_values_to = exprs( PARAMCD = "HYSLAW", PARAM = "ALT/AST >= 3xULN and BILI >= 2xULN" diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index 3210c72c67..a307f86636 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -75,7 +75,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -102,7 +102,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -123,10 +123,7 @@ ex_dates <- ex %>% # Derive event ID and nominal relative time from first dose (NFRLT) mutate( EVID = 1, - NFRLT = case_when( - VISITDY == 1 ~ 0, - TRUE ~ 24 * VISITDY - ) + NFRLT = 24 * (VISITDY - 1), .after = USUBJID ) %>% # Set missing end dates to start date mutate(AENDTM = case_when( @@ -151,13 +148,11 @@ ex_exp <- ex_dates %>% nominal_time = NFRLT, lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, - keep_source_vars = c( - get_admiral_option("subject_keys"), exprs( - EVID, EXDOSFRQ, EXDOSFRM, - NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, - VISIT, VISITNUM, VISITDY, - TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars - ) + keep_source_vars = exprs( + !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, + NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, + VISIT, VISITNUM, VISITDY, + TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars ) ) %>% # Derive AVISIT based on nominal relative time @@ -187,7 +182,7 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG)) + by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -204,7 +199,7 @@ adpc_first_dose <- pc_dates %>% adpc_prev <- adpc_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -223,7 +218,7 @@ adpc_prev <- adpc_first_dose %>% adpc_next <- adpc_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_next = ADTM, EXDOSE_next = EXDOSE, AVISIT_next = AVISIT, @@ -242,7 +237,7 @@ adpc_next <- adpc_prev %>% adpc_nom_prev <- adpc_next %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -258,7 +253,7 @@ adpc_nom_prev <- adpc_next %>% adpc_nom_next <- adpc_nom_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_next = NFRLT), join_vars = exprs(NFRLT), @@ -450,7 +445,7 @@ adpc_dtype <- bind_rows(adpc_aval, dtype) %>% adpc_base <- adpc_dtype %>% derive_var_base( - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARCAT1, BASETYPE)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), source_var = AVAL, new_var = BASE, filter = ABLFL == "Y" @@ -464,7 +459,7 @@ adpc_aseq <- adpc_chg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM, BASETYPE, EVID, AVISITN, ATPTN, PARCAT1, DTYPE), check_type = "error" ) %>% @@ -484,13 +479,13 @@ adpc_baselines <- adpc_aseq %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN, HTBLU = VSSTRESU) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN, WTBLU = VSSTRESU) ) %>% mutate( @@ -504,7 +499,7 @@ adpc_baselines <- adpc_aseq %>% adpc <- adpc_baselines %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index c066c099fc..d100d968b9 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -54,7 +54,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -79,7 +79,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -100,10 +100,7 @@ ex_dates <- ex %>% # Derive event ID and nominal relative time from first dose (NFRLT) mutate( EVID = 1, - NFRLT = case_when( - VISITDY == 1 ~ 0, - TRUE ~ 24 * VISITDY - ) + NFRLT = 24 * (VISITDY - 1), .after = USUBJID ) %>% # Set missing end dates to start date mutate(AENDTM = case_when( @@ -128,13 +125,11 @@ ex_exp <- ex_dates %>% nominal_time = NFRLT, lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, - keep_source_vars = c( - get_admiral_option("subject_keys"), exprs( - EVID, EXDOSFRQ, EXDOSFRM, - NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, - VISIT, VISITNUM, VISITDY, - TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars - ) + keep_source_vars = exprs( + !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, + NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, + VISIT, VISITNUM, VISITDY, + TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars ) ) %>% # Derive AVISIT based on nominal relative time @@ -163,7 +158,7 @@ adppk_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM, EXDOSE_first = EXDOSE), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG)) + by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -180,7 +175,7 @@ adppk_first_dose <- pc_dates %>% adppk_prev <- adppk_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -199,7 +194,7 @@ adppk_prev <- adppk_first_dose %>% adppk_nom_prev <- adppk_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -326,7 +321,7 @@ adppk_aseq <- adppk_aval %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(AFRLT, EVID, CMT), check_type = "error" ) %>% @@ -349,11 +344,6 @@ adppk_aseq <- adppk_aval %>% # Include numeric values for STUDYIDN, USUBJIDN, SEXN, RACEN etc. covar <- adsl %>% - derive_vars_merged( - dataset_add = country_code_lookup, - new_vars = exprs(COUNTRYN = country_number, COUNTRYL = country_name), - by_vars = exprs(COUNTRY = country_code), - ) %>% mutate( STUDYIDN = as.numeric(word(USUBJID, 1, sep = fixed("-"))), SITEIDN = as.numeric(word(USUBJID, 2, sep = fixed("-"))), @@ -400,12 +390,19 @@ covar <- adsl %>% FORMN = case_when( FORM == "PATCH" ~ 3, TRUE ~ 4 - ) + ), + COUNTRYN = case_when( + COUNTRY == "USA" ~ 1, + COUNTRY == "CAN" ~ 2, + COUNTRY == "GBR" ~ 3 + ), + REGION1N = COUNTRYN, ) %>% select( - USUBJID, STUDYID, STUDYIDN, SITEID, SITEIDN, USUBJIDN, + STUDYID, STUDYIDN, SITEID, SITEIDN, USUBJID, USUBJIDN, SUBJID, SUBJIDN, AGE, SEX, SEXN, COHORT, COHORTC, ROUTE, ROUTEN, - RACE, RACEN, ETHNIC, ETHNICN, FORM, FORMN, COUNTRY, COUNTRYN, COUNTRYL + RACE, RACEN, ETHNIC, ETHNICN, FORM, FORMN, COUNTRY, COUNTRYN, + REGION1, REGION1N ) #---- Derive additional baselines from VS and LB ---- @@ -413,24 +410,24 @@ covar <- adsl %>% labsbl <- lb %>% filter(LBBLFL == "Y" & LBTESTCD %in% c("CREAT", "ALT", "AST", "BILI")) %>% mutate(LBTESTCDB = paste0(LBTESTCD, "BL")) %>% - select(USUBJID, STUDYID, LBTESTCDB, LBSTRESN) + select(STUDYID, USUBJID, LBTESTCDB, LBSTRESN) covar_vslb <- covar %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(HTBL = VSSTRESN) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(WTBL = VSSTRESN) ) %>% derive_vars_transposed( dataset_merge = labsbl, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), key_var = LBTESTCDB, value_var = LBSTRESN ) %>% @@ -457,7 +454,7 @@ covar_vslb <- covar %>% adppk <- adppk_aseq %>% derive_vars_merged( dataset_add = covar_vslb, - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% arrange(STUDYIDN, USUBJIDN, AFRLT, EVID) %>% mutate(RECSEQ = row_number()) diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index 592cae1396..06fb2210d0 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -81,7 +81,7 @@ advs <- vs %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -98,10 +98,9 @@ advs <- advs %>% by_vars = exprs(VSTESTCD) ) %>% ## Calculate AVAL and AVALC ---- - # AVALC should only be mapped if it contains non-redundant information. mutate( - # AVALC = VSSTRESC, - AVAL = VSSTRESN + AVAL = VSSTRESN, + AVALC = VSSTRESC ) %>% ## Derive new parameters based on existing records ---- # Note that, for the following three `derive_param_*()` functions, only the @@ -110,27 +109,27 @@ advs <- advs %>% # Derive Mean Arterial Pressure derive_param_map( - by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) ) %>% # Derive Body Surface Area derive_param_bsa( - by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = get_admiral_option("subject_keys") + constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) ) %>% # Derive Body Mass Index derive_param_bmi( - by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = get_admiral_option("subject_keys") + constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) ) @@ -158,7 +157,7 @@ advs <- advs %>% advs <- advs %>% derive_summary_records( dataset_add = advs, - by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(PARAMCD, AVISITN, AVISIT, ADT, ADY)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, PARAMCD, AVISITN, AVISIT, ADT, ADY), filter_add = !is.na(AVAL), set_values_to = exprs( AVAL = mean(AVAL), @@ -197,7 +196,7 @@ advs <- advs %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, VISITNUM, VSSEQ), new_var = ABLFL, mode = "last" @@ -210,21 +209,19 @@ advs <- advs %>% advs <- advs %>% # Calculate BASE derive_var_base( - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) %>% # Calculate BASEC - - # only if AVALC is mapped - # derive_var_base( - # by_vars = exprs(get_admiral_option("subject_keys"), PARAMCD, BASETYPE), - # source_var = AVALC, - # new_var = BASEC - # ) %>% + derive_var_base( + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), + source_var = AVALC, + new_var = BASEC + ) %>% # Calculate BNRIND derive_var_base( - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) %>% @@ -240,7 +237,7 @@ advs <- advs %>% derivation = derive_var_extreme_flag, args = params( new_var = ANL01FL, - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVISIT, ATPT, DTYPE)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPT, DTYPE), order = exprs(ADT, AVAL), mode = "last" ), @@ -255,7 +252,7 @@ advs <- advs %>% # Create End of Treatment Record derive_extreme_records( dataset_add = advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ATPTN)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, ATPTN), order = exprs(ADT, AVISITN, AVAL), mode = "last", filter_add = (4 < AVISITN & AVISITN <= 13 & ANL01FL == "Y" & is.na(DTYPE)), @@ -275,7 +272,7 @@ advs <- advs %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN, DTYPE), check_type = "error" ) %>% @@ -290,7 +287,7 @@ advs <- advs %>% advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adxx.R b/inst/templates/ad_adxx.R new file mode 100644 index 0000000000..297c40d255 --- /dev/null +++ b/inst/templates/ad_adxx.R @@ -0,0 +1,9 @@ +# Name: ADXX +# +# Label: XXX +# +# Input: xx, xx, xx +library(admiral) +library(pharmaversesdtm) # Contains example datasets from the CDISC pilot project + +# Add your template ADaM script code diff --git a/inst/www/style.css b/inst/www/style.css new file mode 100644 index 0000000000..2dc9841207 --- /dev/null +++ b/inst/www/style.css @@ -0,0 +1,16 @@ +.dt-scroll { + overflow-x: auto; + width: 100%; + max-height: 600px; +} +.dt-scroll .dataTable thead tr th, +.dt-scroll thead tr td { + position: sticky; + background-color: #FFFFFF; +} +.dt-scroll thead tr th { + top: 0; +} +.dt-scroll thead tr td { + top: 2.45em; +} diff --git a/man/add_suffix_to_vars.Rd b/man/add_suffix_to_vars.Rd new file mode 100644 index 0000000000..8f414f79a2 --- /dev/null +++ b/man/add_suffix_to_vars.Rd @@ -0,0 +1,43 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/quo.R +\name{add_suffix_to_vars} +\alias{add_suffix_to_vars} +\title{Add a Suffix to Variables in a List of Expressions} +\usage{ +add_suffix_to_vars(order, vars, suffix) +} +\arguments{ +\item{order}{List of expressions + +\emph{Permitted Values}: list of variables or \verb{desc()} function calls +created by \code{exprs()}, e.g., \code{exprs(ADT, desc(AVAL))}} + +\item{vars}{Variables to change + +\emph{Permitted Values}: list of variables created by \code{exprs()}} + +\item{suffix}{Suffix + +\emph{Permitted Values}: A character scalar} +} +\value{ +The list of expression where for each element the suffix (\code{suffix}) is +added to every symbol specified for \code{vars} +} +\description{ +Add a suffix to variables in a list of expressions +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +library(rlang) + +add_suffix_to_vars(exprs(ADT, desc(AVAL), AVALC), vars = exprs(AVAL), suffix = ".join") +} +\seealso{ +Other quo: +\code{\link{expr_c}()}, +\code{\link{replace_symbol_in_expr}()}, +\code{\link{replace_values_by_names}()} +} +\concept{quo} +\keyword{quo} diff --git a/man/admiral-package.Rd b/man/admiral-package.Rd index 26cf0fd4ca..6bbb984a2d 100644 --- a/man/admiral-package.Rd +++ b/man/admiral-package.Rd @@ -1,13 +1,21 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/admiral-package.R +% Please edit documentation in R/ADaM-package.R, R/admiral-package.R, +% R/admiraldev-package.R \docType{package} \name{admiral-package} -\alias{admiral} \alias{admiral-package} \title{admiral: ADaM in R Asset Library} \description{ \if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}} +A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, \url{https://www.cdisc.org/standards/foundational/adam}). + +\if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}} + +A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, \url{https://www.cdisc.org/standards/foundational/adam}). + +\if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}} + A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, \url{https://www.cdisc.org/standards/foundational/adam}). } \seealso{ @@ -19,6 +27,22 @@ Useful links: } +Useful links: +\itemize{ + \item \url{https://pharmaverse.github.io/admiral/} + \item \url{https://github.com/pharmaverse/admiral} + \item Report bugs at \url{https://github.com/pharmaverse/admiral/issues} +} + + +Useful links: +\itemize{ + \item \url{https://pharmaverse.github.io/admiral/} + \item \url{https://github.com/pharmaverse/admiral} + \item Report bugs at \url{https://github.com/pharmaverse/admiral/issues} +} + + Other internal: \code{\link{extract_duplicate_records}()}, \code{\link{format.basket_select}()}, diff --git a/man/arg_name.Rd b/man/arg_name.Rd new file mode 100644 index 0000000000..119b43182c --- /dev/null +++ b/man/arg_name.Rd @@ -0,0 +1,31 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev_utilities.R +\name{arg_name} +\alias{arg_name} +\title{Extract Argument Name from an Expression} +\usage{ +arg_name(expr) +} +\arguments{ +\item{expr}{An expression created inside a function using \code{substitute()}} +} +\value{ +\code{character} vector +} +\description{ +Extract Argument Name from an Expression +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{\%or\%}()}, +\code{\link{contains_vars}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{extract_vars}()}, +\code{\link{filter_if}()}, +\code{\link{friendly_type_of}()}, +\code{\link{valid_time_units}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/assert_atomic_vector.Rd b/man/assert_atomic_vector.Rd new file mode 100644 index 0000000000..85e428119a --- /dev/null +++ b/man/assert_atomic_vector.Rd @@ -0,0 +1,86 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_atomic_vector} +\alias{assert_atomic_vector} +\title{Is an Argument an Atomic Vector?} +\usage{ +assert_atomic_vector( + arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_atomic_vector", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not an atomic vector. +Otherwise, the input is returned invisibly. +} +\description{ +Checks if an argument is an atomic vector +} +\examples{ +example_fun <- function(x) { + assert_atomic_vector(x) +} + +example_fun(1:10) + +try(example_fun(list(1, 2))) +} +\seealso{ +Other assertion: +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_character_scalar.Rd b/man/assert_character_scalar.Rd new file mode 100644 index 0000000000..e9ee7ca4d8 --- /dev/null +++ b/man/assert_character_scalar.Rd @@ -0,0 +1,113 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_character_scalar} +\alias{assert_character_scalar} +\title{Is an Argument a Character Scalar (String)?} +\usage{ +assert_character_scalar( + arg, + values = NULL, + case_sensitive = TRUE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_character_scalar", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{values}{A \code{character} vector of valid values for \code{arg}. +Values is converted to a lower case vector if case_sensitive = FALSE is used.} + +\item{case_sensitive}{Should the argument be handled case-sensitive? +If set to \code{FALSE}, the argument is converted to lower case for checking the +permitted values and returning the argument.} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a character vector or if \code{arg} +is a character vector but of length > 1 or if its value is not one of the \code{values} +specified. Otherwise, the input is returned invisibly. +} +\description{ +Checks if an argument is a character scalar and (optionally) whether it matches +one of the provided \code{values}. +} +\examples{ +example_fun <- function(msg_type) { + assert_character_scalar(msg_type, values = c("warning", "error")) +} + +example_fun("warning") + +try(example_fun("message")) + +try(example_fun(TRUE)) + +# handling arguments case-insensitive +example_fun2 <- function(msg_type) { + msg_type <- assert_character_scalar( + msg_type, + values = c("warning", "error"), + case_sensitive = FALSE + ) + if (msg_type == "warning") { + print("A warning was requested.") + } +} + +example_fun2("Warning") +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_character_vector.Rd b/man/assert_character_vector.Rd new file mode 100644 index 0000000000..1aa11d7690 --- /dev/null +++ b/man/assert_character_vector.Rd @@ -0,0 +1,100 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_character_vector} +\alias{assert_character_vector} +\title{Is an Argument a Character Vector?} +\usage{ +assert_character_vector( + arg, + values = NULL, + named = FALSE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_character_vector", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{values}{A \code{character} vector of valid values for \code{arg}} + +\item{named}{If set to \code{TRUE}, an error is issued if not all elements of the +vector are named.} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a character vector or if +any element is not included in the list of valid values. Otherwise, the input +is returned invisibly. +} +\description{ +Checks if an argument is a character vector +} +\examples{ +example_fun <- function(chr) { + assert_character_vector(chr) +} + +example_fun(letters) + +try(example_fun(1:10)) + +example_fun2 <- function(chr) { + assert_character_vector(chr, named = TRUE) +} + +try(example_fun2(c(alpha = "a", "b", gamma = "c"))) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_data_frame.Rd b/man/assert_data_frame.Rd new file mode 100644 index 0000000000..ce8692cd77 --- /dev/null +++ b/man/assert_data_frame.Rd @@ -0,0 +1,106 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_data_frame} +\alias{assert_data_frame} +\title{Is an Argument a Data Frame?} +\usage{ +assert_data_frame( + arg, + required_vars = NULL, + check_is_grouped = TRUE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_data_frame", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{required_vars}{A list of variables created using \code{exprs()}} + +\item{check_is_grouped}{Throw an error is \code{dataset} is grouped? Defaults to \code{TRUE}.} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a data frame or if \code{arg} is a +data frame but misses any variable specified in \code{required_vars}. Otherwise, +the input is returned invisibly. +} +\description{ +Checks if an argument is a data frame and (optionally) whether is contains +a set of required variables +} +\examples{ +library(dplyr) +library(rlang) +dm <- tribble( + ~STUDYID, ~USUBJID, + "XYZ", "1", + "XYZ", "2" +) + +example_fun <- function(dataset) { + assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) +} + +example_fun(dm) + +try(example_fun(select(dm, -STUDYID))) + +try(example_fun("Not a dataset")) + +try(example_fun(group_by(dm, USUBJID))) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_date_var.Rd b/man/assert_date_var.Rd new file mode 100644 index 0000000000..dceddec747 --- /dev/null +++ b/man/assert_date_var.Rd @@ -0,0 +1,97 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_date_var} +\alias{assert_date_var} +\title{Is a Variable in a Dataset a Date or Datetime Variable?} +\usage{ +assert_date_var( + dataset, + var, + dataset_name = rlang::caller_arg(dataset), + var_name = rlang::caller_arg(var), + message = NULL, + class = "assert_date_var", + call = parent.frame() +) +} +\arguments{ +\item{dataset}{The dataset where the variable is expected} + +\item{var}{The variable to check} + +\item{dataset_name}{The name of the dataset. If the argument is specified, the +specified name is displayed in the error message.} + +\item{var_name}{The name of the variable. If the argument is specified, the +specified name is displayed in the error message.} + +\item{message}{(\code{string})\cr +string passed to \code{cli::cli_abort(message)}. When \code{NULL}, default messaging +is used (see examples for default messages). \code{"var_name"} and \code{"dataset_name"}, +can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{var} is not a date or datetime variable in +\code{dataset} and returns the input invisibly otherwise. +} +\description{ +Checks if a variable in a dataset is a date or datetime variable +} +\examples{ +library(lubridate) +library(dplyr) +library(rlang) + +example_fun <- function(dataset, var) { + var <- assert_symbol(enexpr(var)) + assert_date_var(dataset = dataset, var = !!var) +} + +my_data <- tribble( + ~USUBJID, ~ADT, + "1", ymd("2020-12-06"), + "2", ymd("") +) + +example_fun( + dataset = my_data, + var = ADT +) + +try(example_fun( + dataset = my_data, + var = USUBJID +)) + +example_fun2 <- function(dataset, var) { + var <- assert_symbol(enexpr(var)) + assert_date_var( + dataset = dataset, + var = !!var, + dataset_name = "your_data", + var_name = "your_var" + ) +} + +try(example_fun2( + dataset = my_data, + var = USUBJID +)) +} +\keyword{assertion} diff --git a/man/assert_date_vector.Rd b/man/assert_date_vector.Rd new file mode 100644 index 0000000000..b1fc943e06 --- /dev/null +++ b/man/assert_date_vector.Rd @@ -0,0 +1,87 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_date_vector} +\alias{assert_date_vector} +\title{Is an object a date or datetime vector?} +\usage{ +assert_date_vector( + arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_date_vector", + call = parent.frame() +) +} +\arguments{ +\item{arg}{The function argument to be checked} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} +and \code{arg} is \code{NULL} then the function \code{assert_date_vector} exits early and throw and error.} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function returns an error if \code{arg} is missing, or not a date or datetime variable +but otherwise returns an invisible output. +} +\description{ +Check if an object/vector is a date or datetime variable without needing a dataset as input +} +\examples{ +example_fun <- function(arg) { + assert_date_vector(arg) +} + +example_fun( + as.Date("2022-01-30", tz = "UTC") +) +try(example_fun("1993-07-14")) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_expr.Rd b/man/assert_expr.Rd new file mode 100644 index 0000000000..d242837070 --- /dev/null +++ b/man/assert_expr.Rd @@ -0,0 +1,77 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_expr} +\alias{assert_expr} +\title{Assert Argument is an Expression} +\usage{ +assert_expr( + arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_expr", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not an expression, i.e. either +a symbol or a call, or returns the input invisibly otherwise +} +\description{ +Assert Argument is an Expression +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_expr_list.Rd b/man/assert_expr_list.Rd new file mode 100644 index 0000000000..c4b5fcb1c8 --- /dev/null +++ b/man/assert_expr_list.Rd @@ -0,0 +1,94 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_expr_list} +\alias{assert_expr_list} +\title{Is an Argument a List of Expressions?} +\usage{ +assert_expr_list( + arg, + required_elements = NULL, + named = FALSE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_expr_list", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{required_elements}{A \code{character} vector of names that must be present in \code{arg}} + +\item{named}{If set to \code{TRUE}, an error is issued if not all elements of the +list are named.} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown.} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a list of expressions. +Otherwise, the input it returned invisibly. +} +\description{ +Checks if the argument is a list of expressions. +} +\examples{ +library(rlang) + +example_fun <- function(vars) { + assert_expr_list(vars) +} +example_fun(exprs(DTHDOM = "AE", DTHSEQ = AESEQ)) + +try(example_fun(exprs("AE", DTSEQ = AESEQ, !!list("a"), !!list("a")))) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_filter_cond.Rd b/man/assert_filter_cond.Rd new file mode 100644 index 0000000000..3fbc17097a --- /dev/null +++ b/man/assert_filter_cond.Rd @@ -0,0 +1,99 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_filter_cond} +\alias{assert_filter_cond} +\title{Is an Argument a Filter Condition?} +\usage{ +assert_filter_cond( + arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_filter_cond", + call = parent.frame() +) +} +\arguments{ +\item{arg}{Quosure - filtering condition.} + +\item{optional}{Logical - is the argument optional? Defaults to \code{FALSE}.} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +Performs necessary checks and returns \code{arg} if all pass. +Otherwise throws an informative error. +} +\description{ +Is an Argument a Filter Condition? +} +\details{ +Check if \code{arg} is a suitable filtering condition to be used in +functions like \code{subset} or \code{dplyr::filter}. +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +library(rlang) +dm <- dplyr::tribble( + ~DOMAIN, ~STUDYID, ~USUBJID, ~AGE, + "DM", "STUDY X", "01-701-1015", 64, + "DM", "STUDY X", "01-701-1016", 65, +) + +# typical usage in a function as an argument check +example_fun <- function(dat, x) { + x <- assert_filter_cond(enexpr(x), arg_name = "x") + filter(dat, !!x) +} + +example_fun(dm, AGE == 64) + +try(assert_filter_cond(mtcars)) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_function.Rd b/man/assert_function.Rd new file mode 100644 index 0000000000..793b5d37d6 --- /dev/null +++ b/man/assert_function.Rd @@ -0,0 +1,103 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_function} +\alias{assert_function} +\title{Is Argument a Function?} +\usage{ +assert_function( + arg, + params = NULL, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_function", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function + +The function to be checked} + +\item{params}{A character vector + +A character vector of expected argument names for the aforementioned function in \code{arg}. +If ellipsis, \code{...}, is included in the function formals of the function in \code{arg}, +this argument, \code{params} will be ignored, accepting all values of the character vector.} + +\item{optional}{Is the checked argument optional? + +If set to \code{FALSE} and \code{arg} is \code{NULL} then an error is thrown.} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error +\itemize{ +\item if the argument is not a function or +\item if the function does not provide all arguments as specified for the +\code{params} argument (assuming ellipsis is not in function formals) +} +} +\description{ +Checks if the argument is a function and if all expected arguments are +provided by the function. +} +\examples{ +example_fun <- function(fun) { + assert_function(fun, params = c("x")) +} + +example_fun(mean) + +try(example_fun(1)) + +try(example_fun(sum)) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_function_param.Rd b/man/assert_function_param.Rd new file mode 100644 index 0000000000..06835610ec --- /dev/null +++ b/man/assert_function_param.Rd @@ -0,0 +1,29 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_function_param} +\alias{assert_function_param} +\title{Assert Argument is a Parameter of a Function} +\usage{ +assert_function_param(arg, params) +} +\arguments{ +\item{arg}{The name of a function passed as a string} + +\item{params}{A character vector of function parameters} +} +\value{ +The function throws an error if any elements of \code{params} is not an argument of +the function given by \code{arg} +} +\description{ +\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}} + +This function is \emph{deprecated}, please use \code{assert_function()} instead. +} +\seealso{ +Other deprecated: +\code{\link{assert_has_variables}()}, +\code{\link{assert_named_exprs}()} +} +\concept{deprecated} +\keyword{deprecated} diff --git a/man/assert_has_variables.Rd b/man/assert_has_variables.Rd new file mode 100644 index 0000000000..6fa7795fac --- /dev/null +++ b/man/assert_has_variables.Rd @@ -0,0 +1,32 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_has_variables} +\alias{assert_has_variables} +\title{Does a Dataset Contain All Required Variables?} +\usage{ +assert_has_variables(dataset, required_vars) +} +\arguments{ +\item{dataset}{A \code{data.frame}} + +\item{required_vars}{A \code{character} vector of variable names} +} +\value{ +The function throws an error if any of the required variables are +missing in the input dataset. Otherwise, the dataset is returned invisibly. +} +\description{ +\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}} + +This function is \emph{deprecated}, please use \code{assert_data_frame()} instead. +} +\details{ +Checks if a dataset contains all required variables +} +\seealso{ +Other deprecated: +\code{\link{assert_function_param}()}, +\code{\link{assert_named_exprs}()} +} +\concept{deprecated} +\keyword{deprecated} diff --git a/man/assert_integer_scalar.Rd b/man/assert_integer_scalar.Rd new file mode 100644 index 0000000000..98f92226f6 --- /dev/null +++ b/man/assert_integer_scalar.Rd @@ -0,0 +1,95 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_integer_scalar} +\alias{assert_integer_scalar} +\title{Is an Argument an Integer Scalar?} +\usage{ +assert_integer_scalar( + arg, + subset = "none", + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_integer_scalar", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{subset}{A subset of integers that \code{arg} should be part of. Should be one +of \code{"none"} (the default), \code{"positive"}, \code{"non-negative"} or \code{"negative"}.} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not an integer belonging to the +specified \code{subset}. Otherwise, the input is returned invisibly. +} +\description{ +Checks if an argument is an integer scalar +} +\examples{ +example_fun <- function(num1, num2) { + assert_integer_scalar(num1, subset = "positive") + assert_integer_scalar(num2, subset = "negative") +} + +example_fun(1, -9) + +try(example_fun(1.5, -9)) + +try(example_fun(2, 0)) + +try(example_fun("2", 0)) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_list_element.Rd b/man/assert_list_element.Rd new file mode 100644 index 0000000000..5bc4fcf6d8 --- /dev/null +++ b/man/assert_list_element.Rd @@ -0,0 +1,98 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_list_element} +\alias{assert_list_element} +\title{Is an Element of a List of Lists/Classes Fulfilling a Condition?} +\usage{ +assert_list_element( + list, + element, + condition, + message_text, + arg_name = rlang::caller_arg(list), + message = NULL, + class = "assert_list_element", + call = parent.frame(), + ... +) +} +\arguments{ +\item{list}{A list to be checked +A list of named lists or classes is expected.} + +\item{element}{The name of an element of the lists/classes +A character scalar is expected.} + +\item{condition}{Condition to be fulfilled +The condition is evaluated for each element of the list. The element of the +lists/classes can be referred to by its name, e.g., \code{censor == 0} to check +the \code{censor} field of a class.} + +\item{message_text}{Text to be displayed in the error message above +the listing of values that do not meet the condition. +The text should describe the condition to be fulfilled, +e.g., \code{"Error in {arg_name}: the censor values must be zero."}. +If \code{message} argument is specified, that text will be displayed and \code{message_text} +is ignored.} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} + +\item{...}{Objects required to evaluate the condition +If the condition contains objects apart from the element, they have to be +passed to the function. See the second example below.} +} +\value{ +An error if the condition is not met. The input otherwise. +} +\description{ +Checks if the elements of a list of named lists/classes fulfill a certain +condition. If not, an error is issued and all elements of the list not +fulfilling the condition are listed. +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_list_of.Rd b/man/assert_list_of.Rd new file mode 100644 index 0000000000..4d693c310c --- /dev/null +++ b/man/assert_list_of.Rd @@ -0,0 +1,101 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_list_of} +\alias{assert_list_of} +\title{Is an Argument a List of Objects of a Specific S3 Class or Type?} +\usage{ +assert_list_of( + arg, + cls, + named = FALSE, + optional = TRUE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_list_of", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{cls}{The S3 class or type to check for} + +\item{named}{If set to \code{TRUE}, an error is issued if not all elements of the +list are named.} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a list or if \code{arg} is a list but +its elements are not objects inheriting from \code{class} or of type \code{class}. +Otherwise, the input is returned invisibly. +} +\description{ +Checks if an argument is a \code{list} of objects inheriting from the S3 class or type specified. +} +\examples{ +example_fun <- function(list) { + assert_list_of(list, "data.frame") +} + +example_fun(list(mtcars, iris)) + +try(example_fun(list(letters, 1:10))) + +try(example_fun(c(TRUE, FALSE))) + +example_fun2 <- function(list) { + assert_list_of(list, "numeric", named = TRUE) +} +try(example_fun2(list(1, 2, 3, d = 4))) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_logical_scalar.Rd b/man/assert_logical_scalar.Rd new file mode 100644 index 0000000000..824f29fea6 --- /dev/null +++ b/man/assert_logical_scalar.Rd @@ -0,0 +1,91 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_logical_scalar} +\alias{assert_logical_scalar} +\title{Is an Argument a Logical Scalar (Boolean)?} +\usage{ +assert_logical_scalar( + arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_logical_scalar", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{optional}{Is the checked argument optional?\cr +If set to \code{FALSE} and \code{arg} is \code{NULL} then an error is thrown. Otherwise, +\code{NULL} is considered as valid value.} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is neither \code{TRUE} or \code{FALSE}. Otherwise, +the input is returned invisibly. +} +\description{ +Checks if an argument is a logical scalar +} +\examples{ +example_fun <- function(flag) { + assert_logical_scalar(flag) +} + +example_fun(FALSE) + +try(example_fun(NA)) + +try(example_fun(c(TRUE, FALSE, FALSE))) + +try(example_fun(1:10)) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_named.Rd b/man/assert_named.Rd new file mode 100644 index 0000000000..14885eaecd --- /dev/null +++ b/man/assert_named.Rd @@ -0,0 +1,88 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_named} +\alias{assert_named} +\title{Assert Argument is a Named List or Vector} +\usage{ +assert_named( + arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_named", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a named list or vector or +returns the input invisibly otherwise +} +\description{ +Assert that all elements of the argument are named. +} +\examples{ +example_fun <- function(varval_list) { + assert_named(varval_list) +} + +example_fun(list(var1 = 1, var2 = "x")) + +try(example_fun(list(1, "x"))) + +try(example_fun(list(var = 1, "x"))) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_named_exprs.Rd b/man/assert_named_exprs.Rd new file mode 100644 index 0000000000..a4bd9f8ad8 --- /dev/null +++ b/man/assert_named_exprs.Rd @@ -0,0 +1,30 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_named_exprs} +\alias{assert_named_exprs} +\title{Assert Argument is a Named List of Expressions} +\usage{ +assert_named_exprs(arg, optional = FALSE) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} +} +\value{ +The function throws an error if \code{arg} is not a named \code{list} of expression or +returns the input invisibly otherwise +} +\description{ +\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#deprecated}{\figure{lifecycle-deprecated.svg}{options: alt='[Deprecated]'}}}{\strong{[Deprecated]}} + +This function is \emph{deprecated}, please use \code{assert_expr_list()} instead. +} +\seealso{ +Other deprecated: +\code{\link{assert_function_param}()}, +\code{\link{assert_has_variables}()} +} +\concept{deprecated} +\keyword{deprecated} diff --git a/man/assert_numeric_vector.Rd b/man/assert_numeric_vector.Rd new file mode 100644 index 0000000000..3e2431958f --- /dev/null +++ b/man/assert_numeric_vector.Rd @@ -0,0 +1,86 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_numeric_vector} +\alias{assert_numeric_vector} +\title{Is an Argument a Numeric Vector?} +\usage{ +assert_numeric_vector( + arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_numeric_vector", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a numeric vector. +Otherwise, the input is returned invisibly. +} +\description{ +Checks if an argument is a numeric vector +} +\examples{ +example_fun <- function(num) { + assert_numeric_vector(num) +} + +example_fun(1:10) + +try(example_fun(letters)) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_one_to_one.Rd b/man/assert_one_to_one.Rd new file mode 100644 index 0000000000..9e0974edc8 --- /dev/null +++ b/man/assert_one_to_one.Rd @@ -0,0 +1,108 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_one_to_one} +\alias{assert_one_to_one} +\title{Is There a One to One Mapping between Variables?} +\usage{ +assert_one_to_one( + dataset, + vars1, + vars2, + dataset_name = rlang::caller_arg(dataset), + message = NULL, + class = "assert_one_to_one", + call = parent.frame() +) +} +\arguments{ +\item{dataset}{Dataset to be checked + +The variables specified for \code{vars1} and \code{vars2} are expected.} + +\item{vars1}{First list of variables} + +\item{vars2}{Second list of variables} + +\item{dataset_name}{string indicating the label/symbol of the object being checked. +Default is \code{rlang::caller_arg(dataset)}.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. When \code{NULL}, default messaging +is used (see examples for default messages). \code{"dataset_name"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +An error if the condition is not meet. The input otherwise. +} +\description{ +Checks if there is a one to one mapping between two lists of variables. +} +\examples{ +library(dplyr) +library(rlang) + +df <- tribble( + ~SPECIES, ~SPECIESN, + "DOG", 1L, + "CAT", 2L, + "DOG", 1L +) + +assert_one_to_one(df, vars1 = exprs(SPECIES), vars2 = exprs(SPECIESN)) + +df_many <- tribble( + ~SPECIES, ~SPECIESN, + "DOG", 1L, + "CAT", 2L, + "DOG", 3L +) + +try( + assert_one_to_one(df_many, vars1 = exprs(SPECIES), vars2 = exprs(SPECIESN)) +) + +try( + assert_one_to_one(df_many, vars1 = exprs(SPECIESN), vars2 = exprs(SPECIES)) +) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_param_does_not_exist.Rd b/man/assert_param_does_not_exist.Rd new file mode 100644 index 0000000000..f66df55f67 --- /dev/null +++ b/man/assert_param_does_not_exist.Rd @@ -0,0 +1,87 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_param_does_not_exist} +\alias{assert_param_does_not_exist} +\title{Asserts That a Parameter Does Not Exist in the Dataset} +\usage{ +assert_param_does_not_exist( + dataset, + param, + arg_name = rlang::caller_arg(dataset), + message = NULL, + class = "assert_param_does_not_exist", + call = parent.frame() +) +} +\arguments{ +\item{dataset}{A \code{data.frame}} + +\item{param}{Parameter code to check} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if the parameter exists in the input +dataset. Otherwise, the dataset is returned invisibly. +} +\description{ +Checks if a parameter (\code{PARAMCD}) does not exist in a dataset. +} +\examples{ +library(dplyr) + +advs <- tribble( + ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, + "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, + "P02", "WEIGHT", 85.7, "kg", "WEIGHT", 85.7 +) +assert_param_does_not_exist(advs, param = "HR") +try(assert_param_does_not_exist(advs, param = "WEIGHT")) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_s3_class.Rd b/man/assert_s3_class.Rd new file mode 100644 index 0000000000..8c0c58968a --- /dev/null +++ b/man/assert_s3_class.Rd @@ -0,0 +1,91 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_s3_class} +\alias{assert_s3_class} +\title{Is an Argument an Object of a Specific S3 Class?} +\usage{ +assert_s3_class( + arg, + cls, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_s3_class", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{cls}{The S3 class to check for} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is an object which does \emph{not} inherit from \code{class}. +Otherwise, the input is returned invisibly. +} +\description{ +Checks if an argument is an object inheriting from the S3 class specified. +} +\examples{ +example_fun <- function(obj) { + assert_s3_class(obj, "factor") +} + +example_fun(as.factor(letters)) + +try(example_fun(letters)) + +try(example_fun(1:10)) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_same_type.Rd b/man/assert_same_type.Rd new file mode 100644 index 0000000000..c928ed6f9e --- /dev/null +++ b/man/assert_same_type.Rd @@ -0,0 +1,74 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_same_type} +\alias{assert_same_type} +\title{Are All Argument of the Same Type?} +\usage{ +assert_same_type( + ..., + .message = c("Arguments {.arg {arg_names}} must be the same type.", i = + paste("Argument types are", paste0("{.arg ", arg_names, "} {.cls ", types, "}", + collapse = ", "))), + .class = "assert_same_type", + .call = parent.frame() +) +} +\arguments{ +\item{...}{Arguments to be checked} + +\item{.message}{character vector passed to \code{cli_abort(message)} when assertion fails.} + +\item{.class}{character vector passed to \code{cli_abort(class)} when assertion fails.} + +\item{.call}{environment passed to \code{cli_abort(call)} when assertion fails.} +} +\value{ +The function throws an error if not all arguments are of the same type. +} +\description{ +Checks if all arguments are of the same type. +} +\examples{ +example_fun <- function(true_value, false_value, missing_value) { + assert_same_type(true_value, false_value, missing_value) +} + +example_fun( + true_value = "Y", + false_value = "N", + missing_value = NA_character_ +) + +try(example_fun( + true_value = 1, + false_value = 0, + missing_value = "missing" +)) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_symbol.Rd b/man/assert_symbol.Rd new file mode 100644 index 0000000000..b6ebe3f50f --- /dev/null +++ b/man/assert_symbol.Rd @@ -0,0 +1,98 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_symbol} +\alias{assert_symbol} +\title{Is an Argument a Symbol?} +\usage{ +assert_symbol( + arg, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_symbol", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked. Must be a \code{symbol}. See examples.} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a symbol and returns the input +invisibly otherwise. +} +\description{ +Checks if an argument is a symbol +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +library(rlang) +dm <- dplyr::tribble( + ~DOMAIN, ~USUBJID, + "DM", "01-701-1015", + "DM", "01-701-1016", +) +example_fun <- function(dat, var) { + var <- assert_symbol(enexpr(var)) + select(dat, !!var) +} + +example_fun(dm, USUBJID) + +try(example_fun(dm)) + +try(example_fun(dm, "USUBJID")) + +try(example_fun(dm, toupper(PARAMCD))) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_unit.Rd b/man/assert_unit.Rd new file mode 100644 index 0000000000..e776795c01 --- /dev/null +++ b/man/assert_unit.Rd @@ -0,0 +1,95 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_unit} +\alias{assert_unit} +\title{Asserts That a Parameter is Provided in the Expected Unit} +\usage{ +assert_unit( + dataset, + param, + required_unit, + get_unit_expr, + arg_name = rlang::caller_arg(required_unit), + message = NULL, + class = "assert_unit", + call = parent.frame() +) +} +\arguments{ +\item{dataset}{A \code{data.frame}} + +\item{param}{Parameter code of the parameter to check} + +\item{required_unit}{Expected unit} + +\item{get_unit_expr}{Expression used to provide the unit of \code{param}} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if the unit variable differs from the +unit for any observation of the parameter in the input dataset. Otherwise, the +dataset is returned invisibly. +} +\description{ +Checks if a parameter (\code{PARAMCD}) in a dataset is provided in the expected +unit. +} +\examples{ +library(dplyr) + +advs <- tribble( + ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, + "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, + "P02", "WEIGHT", 85.7, "kg", "WEIGHT", 85.7 +) + +assert_unit(advs, param = "WEIGHT", required_unit = "kg", get_unit_expr = VSSTRESU) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_vars}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_vars.Rd b/man/assert_vars.Rd new file mode 100644 index 0000000000..7be7ce9bec --- /dev/null +++ b/man/assert_vars.Rd @@ -0,0 +1,105 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_vars} +\alias{assert_vars} +\title{Is an Argument a List of Variables?} +\usage{ +assert_vars( + arg, + expect_names = FALSE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_vars", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{expect_names}{If the argument is set to \code{TRUE}, it is checked if all +variables are named, e.g., \code{exprs(APERSDT = APxxSDT, APEREDT = APxxEDT)}.} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a list of symbols (e.g., created +by \code{exprs()} and returns the input invisibly otherwise. +} +\description{ +Checks if an argument is a valid list of symbols (e.g., created by \code{exprs()}) +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +library(rlang) + +example_fun <- function(by_vars) { + assert_vars(by_vars) +} + +example_fun(exprs(USUBJID, PARAMCD)) + +try(example_fun(quos(USUBJID, PARAMCD))) + +try(example_fun(c("USUBJID", "PARAMCD", "VISIT"))) + +try(example_fun(exprs(USUBJID, toupper(PARAMCD), desc(AVAL)))) + +example_fun_name <- function(by_vars) { + assert_vars(by_vars, expect_names = TRUE) +} + +example_fun_name(exprs(APERSDT = APxxSDT, APEREDT = APxxEDT)) + +try(example_fun_name(exprs(APERSDT = APxxSDT, APxxEDT))) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_varval_list}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/assert_varval_list.Rd b/man/assert_varval_list.Rd new file mode 100644 index 0000000000..1587a1ed09 --- /dev/null +++ b/man/assert_varval_list.Rd @@ -0,0 +1,100 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/assertions.R +\name{assert_varval_list} +\alias{assert_varval_list} +\title{Is an Argument a Variable-Value List?} +\usage{ +assert_varval_list( + arg, + required_elements = NULL, + accept_expr = TRUE, + accept_var = FALSE, + optional = FALSE, + arg_name = rlang::caller_arg(arg), + message = NULL, + class = "assert_varval_list", + call = parent.frame() +) +} +\arguments{ +\item{arg}{A function argument to be checked} + +\item{required_elements}{A \code{character} vector of names that must be present in \code{arg}} + +\item{accept_expr}{Should expressions on the right hand side be accepted?} + +\item{accept_var}{Should unnamed variable names (e.g. \code{exprs(USUBJID)}) on the +right hand side be accepted?} + +\item{optional}{Is the checked argument optional? If set to \code{FALSE} and \code{arg} +is \code{NULL} then an error is thrown.} + +\item{arg_name}{string indicating the label/symbol of the object being checked.} + +\item{message}{string passed to \code{cli::cli_abort(message)}. +When \code{NULL}, default messaging is used (see examples for default messages). +\code{"{arg_name}"} can be used in messaging.} + +\item{class}{Subclass of the condition.} + +\item{call}{The execution environment of a currently running +function, e.g. \code{call = caller_env()}. The corresponding function +call is retrieved and mentioned in error messages as the source +of the error. + +You only need to supply \code{call} when throwing a condition from a +helper function which wouldn't be relevant to mention in the +message. + +Can also be \code{NULL} or a \link[rlang:topic-defuse]{defused function call} to +respectively not display any call or hard-code a code to display. + +For more information about error calls, see \ifelse{html}{\link[rlang:topic-error-call]{Including function calls in error messages}}{\link[rlang:topic-error-call]{Including function calls in error messages}}.} +} +\value{ +The function throws an error if \code{arg} is not a list of variable-value expressions. +Otherwise, the input it returned invisibly. +} +\description{ +Checks if the argument is a list of expressions where the expressions are +variable-value pairs. The value can be a symbol, a string, a numeric, an +expression, or \code{NA}. +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +library(rlang) + +example_fun <- function(vars) { + assert_varval_list(vars) +} +example_fun(exprs(DTHDOM = "AE", DTHSEQ = AESEQ)) + +try(example_fun(exprs("AE", DTSEQ = AESEQ))) +} +\seealso{ +Other assertion: +\code{\link{assert_atomic_vector}()}, +\code{\link{assert_character_scalar}()}, +\code{\link{assert_character_vector}()}, +\code{\link{assert_data_frame}()}, +\code{\link{assert_date_vector}()}, +\code{\link{assert_expr}()}, +\code{\link{assert_expr_list}()}, +\code{\link{assert_filter_cond}()}, +\code{\link{assert_function}()}, +\code{\link{assert_integer_scalar}()}, +\code{\link{assert_list_element}()}, +\code{\link{assert_list_of}()}, +\code{\link{assert_logical_scalar}()}, +\code{\link{assert_named}()}, +\code{\link{assert_numeric_vector}()}, +\code{\link{assert_one_to_one}()}, +\code{\link{assert_param_does_not_exist}()}, +\code{\link{assert_s3_class}()}, +\code{\link{assert_same_type}()}, +\code{\link{assert_symbol}()}, +\code{\link{assert_unit}()}, +\code{\link{assert_vars}()} +} +\concept{assertion} +\keyword{assertion} diff --git a/man/backquote.Rd b/man/backquote.Rd new file mode 100644 index 0000000000..954cb46f99 --- /dev/null +++ b/man/backquote.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/quote.R +\name{backquote} +\alias{backquote} +\title{Wrap a String in Backquotes} +\usage{ +backquote(x) +} +\arguments{ +\item{x}{A \code{character} vector} +} +\value{ +A \code{character} vector +} +\description{ +Wrap a String in Backquotes +} +\seealso{ +Other quote: +\code{\link{dquote}()}, +\code{\link{enumerate}()}, +\code{\link{squote}()} +} +\concept{quote} +\keyword{quote} diff --git a/man/call_derivation.Rd b/man/call_derivation.Rd index 79c795f5e9..8b5423e680 100644 --- a/man/call_derivation.Rd +++ b/man/call_derivation.Rd @@ -74,7 +74,7 @@ adae <- ae \%>\% derive_vars_merged( dataset_add = adsl, new_vars = exprs(TRTSDT, TRTEDT), - by_vars = exprs(USUBJID) + by_vars = get_admiral_option("subject_keys") ) ## While `derive_vars_dt()` can only add one variable at a time, using `call_derivation()` diff --git a/man/call_user_fun.Rd b/man/call_user_fun.Rd index 15ca6a66fc..8d6d0982b8 100644 --- a/man/call_user_fun.Rd +++ b/man/call_user_fun.Rd @@ -32,7 +32,8 @@ Utilities used within Derivation functions: \code{\link{extract_unit}()}, \code{\link{get_flagged_records}()}, \code{\link{get_not_mapped}()}, -\code{\link{get_vars_query}()} +\code{\link{get_vars_query}()}, +\code{\link{process_set_values_to}()} } \concept{utils_help} \keyword{utils_help} diff --git a/man/contains_vars.Rd b/man/contains_vars.Rd new file mode 100644 index 0000000000..d09652ce4d --- /dev/null +++ b/man/contains_vars.Rd @@ -0,0 +1,33 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev_utilities.R +\name{contains_vars} +\alias{contains_vars} +\title{check that argument contains valid variable(s) created with \code{exprs()} or +Source Variables from a List of Expressions} +\usage{ +contains_vars(arg) +} +\arguments{ +\item{arg}{A function argument to be checked} +} +\value{ +A \code{TRUE} if variables were valid variable +} +\description{ +check that argument contains valid variable(s) created with \code{exprs()} or +Source Variables from a List of Expressions +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{\%or\%}()}, +\code{\link{arg_name}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{extract_vars}()}, +\code{\link{filter_if}()}, +\code{\link{friendly_type_of}()}, +\code{\link{valid_time_units}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/convert_dtm_to_dtc.Rd b/man/convert_dtm_to_dtc.Rd new file mode 100644 index 0000000000..65d9825bb0 --- /dev/null +++ b/man/convert_dtm_to_dtc.Rd @@ -0,0 +1,33 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev_utilities.R +\name{convert_dtm_to_dtc} +\alias{convert_dtm_to_dtc} +\title{Helper Function to Convert Date (or Date-time) Objects to Characters of dtc Format +(-DTC type of variable)} +\usage{ +convert_dtm_to_dtc(dtm) +} +\arguments{ +\item{dtm}{date or date-time} +} +\value{ +\code{character} vector +} +\description{ +Helper Function to Convert Date (or Date-time) Objects to Characters of dtc Format +(-DTC type of variable) +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{\%or\%}()}, +\code{\link{arg_name}()}, +\code{\link{contains_vars}()}, +\code{\link{extract_vars}()}, +\code{\link{filter_if}()}, +\code{\link{friendly_type_of}()}, +\code{\link{valid_time_units}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/create_single_dose_dataset.Rd b/man/create_single_dose_dataset.Rd index a89b34fd83..c67fad5a02 100644 --- a/man/create_single_dose_dataset.Rd +++ b/man/create_single_dose_dataset.Rd @@ -14,8 +14,8 @@ create_single_dose_dataset( lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, nominal_time = NULL, - keep_source_vars = expr_c(exprs(USUBJID), dose_freq, start_date, start_datetime, - end_date, end_datetime) + keep_source_vars = expr_c(get_admiral_option("subject_keys"), dose_freq, start_date, + start_datetime, end_date, end_datetime) ) } \arguments{ @@ -233,7 +233,7 @@ adsl_death <- adsl \%>\% # Select valid dose records, non-missing `EXSTDTC` and `EXDOSE`. ex_mod <- ex \%>\% filter(!is.na(EXSTDTC) & !is.na(EXDOSE)) \%>\% - derive_vars_merged(adsl_death, by_vars = exprs(STUDYID, USUBJID)) \%>\% + derive_vars_merged(adsl_death, by_vars = get_admiral_option("subject_keys")) \%>\% # Example, set up missing `EXDOSFRQ` as QD daily dosing regime. # Replace with study dosing regime per trial treatment. mutate(EXDOSFRQ = if_else(is.na(EXDOSFRQ), "QD", EXDOSFRQ)) \%>\% @@ -261,7 +261,7 @@ ex_mod <- ex \%>\% # Select only unique values. # Removes duplicated records before final step. distinct( - STUDYID, USUBJID, EXTRT, EXDOSE, EXDOSFRQ, DCUTDT, DTHDT, EXSTDT, + !!!get_admiral_option("subject_keys"), EXTRT, EXDOSE, EXDOSFRQ, DCUTDT, DTHDT, EXSTDT, EXSTDTM, EXENDT, EXENDTM, EXSTDTC, EXENDTC ) @@ -271,10 +271,10 @@ create_single_dose_dataset( start_datetime = EXSTDTM, end_date = EXENDT, end_datetime = EXENDTM, - keep_source_vars = exprs( - STUDYID, USUBJID, EXTRT, EXDOSE, EXDOSFRQ, + keep_source_vars = c( + get_admiral_option("subject_keys"), exprs(EXTRT, EXDOSE, EXDOSFRQ, DCUTDT, EXSTDT, EXSTDTM, EXENDT, EXENDTM, EXSTDTC, EXENDTC - ) + )) ) } \seealso{ diff --git a/man/dataset_vignette.Rd b/man/dataset_vignette.Rd new file mode 100644 index 0000000000..cbaeb35b82 --- /dev/null +++ b/man/dataset_vignette.Rd @@ -0,0 +1,33 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dataset_vignette.R +\name{dataset_vignette} +\alias{dataset_vignette} +\title{Output a Dataset in a Vignette in the admiral Format} +\usage{ +dataset_vignette(dataset, display_vars = NULL, filter = NULL) +} +\arguments{ +\item{dataset}{Dataset to output in the vignette} + +\item{display_vars}{Variables selected to demonstrate the outcome of the derivation + +Permitted Values: list of variables + +Default is NULL + +If \code{display_vars} is not NULL, only the selected variables are visible in the vignette while the +other variables are hidden. They can be made visible by clicking the\verb{Choose the columns to display} button.} + +\item{filter}{Filter condition + +The specified condition is applied to the dataset before it is displayed. + +Permitted Values: a condition} +} +\value{ +A HTML table +} +\description{ +Output a dataset in a vignette with the pre-specified admiral format. +} +\keyword{dev_utility} diff --git a/man/derive_extreme_event.Rd b/man/derive_extreme_event.Rd index 6ff37cc0ee..7d6fa91134 100644 --- a/man/derive_extreme_event.Rd +++ b/man/derive_extreme_event.Rd @@ -194,7 +194,7 @@ adqs <- tribble( # Add a new record for each USUBJID storing the the worst sleeping problem. derive_extreme_event( adqs, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( condition = PARAMCD == "NO SLEEP" & AVALC == "Y", @@ -245,7 +245,7 @@ adhy <- tribble( derive_extreme_event( adhy, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( condition = is.na(CRIT1FL), @@ -316,13 +316,13 @@ adrs <- tribble( ) \%>\% derive_vars_merged( dataset_add = adsl, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(TRTSDT) ) derive_extreme_event( adrs, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), tmp_event_nr_var = event_nr, order = exprs(event_nr, ADT), mode = "first", diff --git a/man/derive_extreme_records.Rd b/man/derive_extreme_records.Rd index 244f62bae8..de130ec62e 100644 --- a/man/derive_extreme_records.Rd +++ b/man/derive_extreme_records.Rd @@ -176,7 +176,7 @@ adlb <- tribble( derive_extreme_records( adlb, dataset_add = adlb, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVAL, AVISITN), mode = "first", filter_add = !is.na(AVAL), @@ -193,7 +193,7 @@ derive_extreme_records( derive_extreme_records( adlb, dataset_add = adlb, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(desc(AVAL), AVISITN), mode = "first", filter_add = !is.na(AVAL), @@ -208,7 +208,7 @@ derive_extreme_records( derive_extreme_records( adlb, dataset_add = adlb, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), mode = "last", set_values_to = exprs( @@ -249,7 +249,7 @@ derive_extreme_records( adrs, dataset_ref = adsl, dataset_add = adrs, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = PARAMCD == "OVR" & AVALC == "PD", order = exprs(ADT), exist_flag = AVALC, @@ -269,7 +269,7 @@ derive_extreme_records( derive_extreme_records( dataset_ref = adsl, dataset_add = adsl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = !is.na(DTHDT), exist_flag = AVALC, true_value = "Y", diff --git a/man/derive_locf_records.Rd b/man/derive_locf_records.Rd index 7cd24fcad8..c0cf58d47d 100644 --- a/man/derive_locf_records.Rd +++ b/man/derive_locf_records.Rd @@ -119,7 +119,7 @@ advs_expected_obsv <- tribble( derive_locf_records( dataset = advs, dataset_ref = advs_expected_obsv, - by_vars = exprs(STUDYID, USUBJID, PARAMCD), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), order = exprs(AVISITN, AVISIT), keep_vars = exprs(PARAMN) ) diff --git a/man/derive_param_bmi.Rd b/man/derive_param_bmi.Rd index 2b691210b1..5351c359d0 100644 --- a/man/derive_param_bmi.Rd +++ b/man/derive_param_bmi.Rd @@ -124,7 +124,7 @@ derive_param_bmi( PARAM = "Body Mass Index (kg/m^2)" ), get_unit_expr = extract_unit(PARAM), - constant_by_vars = exprs(USUBJID) + constant_by_vars = get_admiral_option("subject_keys") ) # Example 2: Derive BMI where height is measured only once and keep only one record diff --git a/man/derive_param_bsa.Rd b/man/derive_param_bsa.Rd index be6953200e..242a5b20e3 100644 --- a/man/derive_param_bsa.Rd +++ b/man/derive_param_bsa.Rd @@ -139,7 +139,7 @@ derive_param_bsa( PARAM = "Body Surface Area (m^2)" ), get_unit_expr = extract_unit(PARAM), - constant_by_vars = exprs(USUBJID) + constant_by_vars = get_admiral_option("subject_keys") ) derive_param_bsa( @@ -151,7 +151,7 @@ derive_param_bsa( PARAM = "Body Surface Area (m^2)" ), get_unit_expr = extract_unit(PARAM), - constant_by_vars = exprs(USUBJID) + constant_by_vars = get_admiral_option("subject_keys") ) # Example 2: Derive BSA where height is measured only once and keep only one record diff --git a/man/derive_param_computed.Rd b/man/derive_param_computed.Rd index ded4df2773..f5537cc7a5 100644 --- a/man/derive_param_computed.Rd +++ b/man/derive_param_computed.Rd @@ -233,7 +233,7 @@ derive_param_computed( AVALU = "kg/m^2" ), constant_parameters = c("HEIGHT"), - constant_by_vars = exprs(USUBJID) + constant_by_vars = get_admiral_option("subject_keys") ) # Example 3: Using data from an additional dataset and other variables than AVAL @@ -289,7 +289,7 @@ adlb_tbilialk <- tribble( derive_param_computed( dataset_add = adlb_tbilialk, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), parameters = c("ALK2", "TBILI2"), set_values_to = exprs( AVALC = if_else(AVALC.TBILI2 == "Y" & AVALC.ALK2 == "Y", "Y", "N"), diff --git a/man/derive_param_exposure.Rd b/man/derive_param_exposure.Rd index a92e2c93c2..eced4ff971 100644 --- a/man/derive_param_exposure.Rd +++ b/man/derive_param_exposure.Rd @@ -144,7 +144,7 @@ adex <- tribble( adex \%>\% derive_param_exposure( dataset_add = adex, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), set_values_to = exprs( PARAMCD = "TDOSE", PARCAT1 = "OVERALL", @@ -158,7 +158,7 @@ adex \%>\% adex \%>\% derive_param_exposure( dataset_add = adex, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = VISIT \%in\% c("WEEK 2", "WEEK 24"), set_values_to = exprs( PARAMCD = "AVDW224", @@ -173,7 +173,7 @@ adex \%>\% adex \%>\% derive_param_exposure( dataset_add = adex, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), set_values_to = exprs( PARAMCD = "TADJ", PARCAT1 = "OVERALL", diff --git a/man/derive_param_extreme_record.Rd b/man/derive_param_extreme_record.Rd index d64cc94d98..e48f891192 100644 --- a/man/derive_param_extreme_record.Rd +++ b/man/derive_param_extreme_record.Rd @@ -135,7 +135,7 @@ derive_param_extreme_record( ) ), source_datasets = list(cm = cm, pr = pr), - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADT), mode = "first", set_values_to = exprs( diff --git a/man/derive_var_extreme_flag.Rd b/man/derive_var_extreme_flag.Rd index 7deac86681..a5f3085b08 100644 --- a/man/derive_var_extreme_flag.Rd +++ b/man/derive_var_extreme_flag.Rd @@ -222,7 +222,7 @@ example_ae \%>\% ) \%>\% derive_var_extreme_flag( new_var = AOCCIFL, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(TEMP_AESEVN, AESTDY, AESEQ), mode = "first" ) \%>\% @@ -237,7 +237,7 @@ example_ae \%>\% ) \%>\% derive_var_extreme_flag( new_var = AOCCIFL, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(TEMP_AESEVN, AESTDY), mode = "first", flag_all = TRUE diff --git a/man/derive_var_joined_exist_flag.Rd b/man/derive_var_joined_exist_flag.Rd index 68afcaf1d4..50a2e0488b 100644 --- a/man/derive_var_joined_exist_flag.Rd +++ b/man/derive_var_joined_exist_flag.Rd @@ -303,7 +303,7 @@ derive_var_joined_exist_flag( adae, dataset_add = adae, new_var = ALCOVFL, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), join_vars = exprs(ACOVFL, ADY), join_type = "all", order = exprs(ADY), @@ -327,7 +327,7 @@ data <- tribble( derive_var_joined_exist_flag( data, dataset_add = data, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), new_var = CONFFL, join_vars = exprs(AVALC, AVISITN), join_type = "after", @@ -358,7 +358,7 @@ data <- tribble( derive_var_joined_exist_flag( data, dataset_add = data, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), join_vars = exprs(AVALC), join_type = "after", order = exprs(AVISITN), @@ -392,7 +392,7 @@ data <- tribble( derive_var_joined_exist_flag( data, dataset_add = data, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), join_vars = exprs(AVALC, ADY), join_type = "after", order = exprs(ADY), @@ -426,7 +426,7 @@ data <- tribble( derive_var_joined_exist_flag( data, dataset_add = data, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), new_var = CONFFL, tmp_obs_nr_var = tmp_obs_nr, join_vars = exprs(CRIT1FL), diff --git a/man/derive_var_merged_ef_msrc.Rd b/man/derive_var_merged_ef_msrc.Rd index 538921116d..a6f99224f9 100644 --- a/man/derive_var_merged_ef_msrc.Rd +++ b/man/derive_var_merged_ef_msrc.Rd @@ -125,7 +125,7 @@ pr <- tibble::tribble( derive_var_merged_ef_msrc( adsl, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), flag_events = list( flag_event( dataset_name = "cm", diff --git a/man/derive_var_merged_exist_flag.Rd b/man/derive_var_merged_exist_flag.Rd index 70a3071677..2d62ca2983 100644 --- a/man/derive_var_merged_exist_flag.Rd +++ b/man/derive_var_merged_exist_flag.Rd @@ -111,11 +111,11 @@ ae <- tribble( derive_var_merged_exist_flag( dm, dataset_add = ae, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), new_var = AERELFL, condition = AEREL == "PROBABLE" ) \%>\% - select(STUDYID, USUBJID, AGE, AGEU, AERELFL) + select(!!!get_admiral_option("subject_keys"), AGE, AGEU, AERELFL) vs <- tribble( ~STUDYID, ~DOMAIN, ~USUBJID, ~VISIT, ~VSTESTCD, ~VSSTRESN, ~VSBLFL, @@ -135,14 +135,14 @@ vs <- tribble( derive_var_merged_exist_flag( dm, dataset_add = vs, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", new_var = WTBLHIFL, condition = VSSTRESN > 90, false_value = "N", missing_value = "M" ) \%>\% - select(STUDYID, USUBJID, AGE, AGEU, WTBLHIFL) + select(!!!get_admiral_option("subject_keys"), AGE, AGEU, WTBLHIFL) } \seealso{ General Derivation Functions for all ADaMs that returns variable appended to dataset: diff --git a/man/derive_var_merged_summary.Rd b/man/derive_var_merged_summary.Rd index fd50515c21..c15ada7006 100644 --- a/man/derive_var_merged_summary.Rd +++ b/man/derive_var_merged_summary.Rd @@ -169,7 +169,7 @@ adtr <- tribble( derive_var_merged_summary( adsl, dataset_add = adtr, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = AVISIT == "BASELINE", new_vars = exprs(LESIONSBL = paste(LESIONID, collapse = ", ")) ) diff --git a/man/derive_var_relative_flag.Rd b/man/derive_var_relative_flag.Rd index 4fc22c0565..372687e134 100644 --- a/man/derive_var_relative_flag.Rd +++ b/man/derive_var_relative_flag.Rd @@ -114,7 +114,7 @@ adae <- tribble( derive_var_relative_flag( adae, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(ASTDY, AESEQ), new_var = PSTCOVFL, condition = ACOVFL == "Y", @@ -145,7 +145,7 @@ response <- tribble( # Flag observations up to first PD for each patient response \%>\% derive_var_relative_flag( - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), new_var = ANL02FL, condition = AVALC == "PD", @@ -159,7 +159,7 @@ response \%>\% restrict_derivation( derivation = derive_var_relative_flag, args = params( - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), new_var = ANL02FL, condition = AVALC == "PD", diff --git a/man/derive_vars_computed.Rd b/man/derive_vars_computed.Rd index 205f804d78..6a01547307 100644 --- a/man/derive_vars_computed.Rd +++ b/man/derive_vars_computed.Rd @@ -158,7 +158,7 @@ advs <- tribble( derive_vars_computed( dataset = adsl, dataset_add = advs, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), parameters = c("WEIGHT", "HEIGHT"), new_vars = exprs(BMIBL = compute_bmi(height = AVAL.HEIGHT, weight = AVAL.WEIGHT)), filter_add = ABLFL == "Y" diff --git a/man/derive_vars_extreme_event.Rd b/man/derive_vars_extreme_event.Rd index 4b512f8605..e6fb293367 100644 --- a/man/derive_vars_extreme_event.Rd +++ b/man/derive_vars_extreme_event.Rd @@ -154,7 +154,7 @@ lb <- tribble( derive_vars_extreme_event( adsl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "adsl", @@ -206,7 +206,7 @@ ds <- tribble( derive_vars_extreme_event( adsl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "ae", diff --git a/man/derive_vars_joined.Rd b/man/derive_vars_joined.Rd index 2730270870..b73ff3ed41 100644 --- a/man/derive_vars_joined.Rd +++ b/man/derive_vars_joined.Rd @@ -333,7 +333,7 @@ adbds <- tribble( derive_vars_joined( adbds, dataset_add = adbds, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVAL), new_vars = exprs(NADIR = AVAL), join_vars = exprs(ADY), @@ -368,7 +368,7 @@ adlb <- tribble( derive_vars_joined( adae, dataset_add = adlb, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVAL, desc(ADY)), new_vars = exprs(HGB_MAX = AVAL, HGB_DY = ADY), join_type = "all", @@ -410,7 +410,7 @@ adae <- tribble( derive_vars_joined( adae, dataset_add = period_ref, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), join_vars = exprs(APERSDT, APEREDT), join_type = "all", filter_join = APERSDT <= ASTDT & ASTDT <= APEREDT @@ -437,7 +437,7 @@ ex <- tribble( derive_vars_joined( adae, dataset_add = ex, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(EXSDT = convert_dtc_to_dt(EXSDTC)), join_type = "all", new_vars = exprs(LDRELD = compute_duration( diff --git a/man/derive_vars_merged.Rd b/man/derive_vars_merged.Rd index 12cc49376b..626bcdc04e 100644 --- a/man/derive_vars_merged.Rd +++ b/man/derive_vars_merged.Rd @@ -226,9 +226,9 @@ dm <- tribble( derive_vars_merged( vs, dataset_add = select(dm, -DOMAIN), - by_vars = exprs(STUDYID, USUBJID) + by_vars = get_admiral_option("subject_keys") ) \%>\% - select(STUDYID, USUBJID, VSTESTCD, VISIT, VSSTRESN, AGE, AGEU) + select(!!!get_admiral_option("subject_keys"), VSTESTCD, VISIT, VSSTRESN, AGE, AGEU) # Merge last weight to adsl @@ -242,14 +242,14 @@ adsl <- tribble( derive_vars_merged( adsl, dataset_add = vs, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(convert_dtc_to_dtm(VSDTC)), mode = "last", new_vars = exprs(LASTWGT = VSSTRESN, LASTWGTU = VSSTRESU), filter_add = VSTESTCD == "WEIGHT", exist_flag = vsdatafl ) \%>\% - select(STUDYID, USUBJID, AGE, AGEU, LASTWGT, LASTWGTU, vsdatafl) + select(!!!get_admiral_option("subject_keys"), AGE, AGEU, LASTWGT, LASTWGTU, vsdatafl) # Derive treatment start datetime (TRTSDTM) @@ -271,7 +271,7 @@ ex_ext <- derive_vars_dtm( derive_vars_merged( select(dm, STUDYID, USUBJID), dataset_add = ex_ext, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(TRTSDTM = EXSTDTM, TRTSDTF = EXSTDTF, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM), mode = "first" @@ -290,7 +290,7 @@ derive_vars_merged( select(adsl, STUDYID, USUBJID), dataset_add = ex_ext, filter_add = !is.na(EXENDTM), - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(TRTEDTM = EXENDTM, TRTETMF = EXENTMF), order = exprs(EXENDTM), mode = "last" @@ -316,7 +316,7 @@ advs <- tribble( derive_vars_merged( adsl, dataset_add = advs, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs( LSTVSCAT = if_else(AVISIT == "BASELINE", "BASELINE", "POST-BASELINE") ), diff --git a/man/derive_vars_period.Rd b/man/derive_vars_period.Rd index d5297e7774..3b4d06ca5c 100644 --- a/man/derive_vars_period.Rd +++ b/man/derive_vars_period.Rd @@ -88,7 +88,7 @@ derive_vars_period( dataset_ref = period_ref, new_vars = exprs(APxxSDT = APERSDT, APxxEDT = APEREDT) ) \%>\% - select(STUDYID, USUBJID, AP01SDT, AP01EDT, AP02SDT, AP02EDT) + select(!!!get_admiral_option("subject_keys"), AP01SDT, AP01EDT, AP02SDT, AP02EDT) # Add phase variables to ADSL phase_ref <- tribble( @@ -108,7 +108,7 @@ derive_vars_period( dataset_ref = phase_ref, new_vars = exprs(PHwSDT = PHSDT, PHwEDT = PHEDT, APHASEw = APHASE) ) \%>\% - select(STUDYID, USUBJID, PH1SDT, PH1EDT, PH2SDT, PH2EDT, APHASE1, APHASE2) + select(!!!get_admiral_option("subject_keys"), PH1SDT, PH1EDT, PH2SDT, PH2EDT, APHASE1, APHASE2) # Add subperiod variables to ADSL subperiod_ref <- tribble( @@ -131,7 +131,8 @@ derive_vars_period( dataset_ref = subperiod_ref, new_vars = exprs(PxxSwSDT = ASPRSDT, PxxSwEDT = ASPREDT) ) \%>\% - select(STUDYID, USUBJID, P01S1SDT, P01S1EDT, P01S2SDT, P01S2EDT, P02S1SDT, P02S1EDT) + select(!!!get_admiral_option("subject_keys"), P01S1SDT, P01S1EDT, P01S2SDT, P01S2EDT, + P02S1SDT, P02S1EDT) } \seealso{ \code{\link[=create_period_dataset]{create_period_dataset()}} diff --git a/man/dquote.Rd b/man/dquote.Rd new file mode 100644 index 0000000000..6b4ec999f6 --- /dev/null +++ b/man/dquote.Rd @@ -0,0 +1,27 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/quote.R +\name{dquote} +\alias{dquote} +\title{Wrap a String in Double Quotes} +\usage{ +dquote(x) +} +\arguments{ +\item{x}{A character vector} +} +\value{ +If the input is \code{NULL}, the text \code{"NULL"} is returned. Otherwise, the +input in double quotes is returned. +} +\description{ +Wrap a string in double quotes, e.g., for displaying character values in +messages. +} +\seealso{ +Other quote: +\code{\link{backquote}()}, +\code{\link{enumerate}()}, +\code{\link{squote}()} +} +\concept{quote} +\keyword{quote} diff --git a/man/enumerate.Rd b/man/enumerate.Rd new file mode 100644 index 0000000000..f746084225 --- /dev/null +++ b/man/enumerate.Rd @@ -0,0 +1,36 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/quote.R +\name{enumerate} +\alias{enumerate} +\title{Enumerate Multiple Elements} +\usage{ +enumerate(x) +} +\arguments{ +\item{x}{A vector or list} + +\item{quote_fun}{Quoting function, defaults to \code{backquote}. If set to \code{NULL}, +the elements are not quoted.} + +\item{conjunction}{Character to be used in the message, defaults to \code{"and"}.} +} +\value{ +A \code{character} vector +} +\description{ +Enumerate multiple elements of a vector or list. +} +\examples{ +enumerate(c("one", "two", "three")) + +enumerate(c(1, 2, 3), quote_fun = NULL) + +} +\seealso{ +Other quote: +\code{\link{backquote}()}, +\code{\link{dquote}()}, +\code{\link{squote}()} +} +\concept{quote} +\keyword{quote} diff --git a/man/event_joined.Rd b/man/event_joined.Rd index c01958b8fd..46fe91b3d9 100644 --- a/man/event_joined.Rd +++ b/man/event_joined.Rd @@ -196,13 +196,13 @@ adrs <- tribble( ) \%>\% derive_vars_merged( dataset_add = adsl, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(TRTSDT) ) derive_extreme_event( adrs, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADT), mode = "first", source_datasets = list(adsl = adsl), diff --git a/man/expect_dfs_equal.Rd b/man/expect_dfs_equal.Rd new file mode 100644 index 0000000000..ae24211d73 --- /dev/null +++ b/man/expect_dfs_equal.Rd @@ -0,0 +1,59 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/expect_dfs_equal.R +\name{expect_dfs_equal} +\alias{expect_dfs_equal} +\title{Expectation: Are Two Datasets Equal?} +\usage{ +expect_dfs_equal(base, compare, keys, ...) +} +\arguments{ +\item{base}{Input dataset} + +\item{compare}{Comparison dataset} + +\item{keys}{\code{character} vector of variables that define a unique row in the +\code{base} and \code{compare} datasets} + +\item{...}{Additional arguments passed onto \code{\link[diffdf:diffdf]{diffdf::diffdf()}}} +} +\value{ +An error if \code{base} and \code{compare} do not match or \code{NULL} invisibly if they do +} +\description{ +Uses \code{\link[diffdf:diffdf]{diffdf::diffdf()}} to compares 2 datasets for any differences. This function can be +thought of as an R-equivalent of SAS proc compare and a useful tool for unit testing as well. +} +\examples{ +library(dplyr, warn.conflicts = FALSE) + +tbl1 <- tribble( + ~USUBJID, ~AGE, ~SEX, + "1001", 18, "M", + "1002", 19, "F", + "1003", 20, "M", + "1004", 18, "F" +) + +tbl2 <- tribble( + ~USUBJID, ~AGE, ~SEX, + "1001", 18, "M", + "1002", 18.9, "F", + "1003", 20, NA +) + +try(expect_dfs_equal(tbl1, tbl2, keys = "USUBJID")) + +tlb3 <- tribble( + ~USUBJID, ~AGE, ~SEX, + "1004", 18, "F", + "1003", 20, "M", + "1002", 19, "F", + "1001", 18, "M", +) + +# Note the sorting order of the keys is not required +expect_dfs_equal(tbl1, tlb3, keys = "USUBJID") + +} +\concept{test_helper} +\keyword{test_helper} diff --git a/man/expr_c.Rd b/man/expr_c.Rd new file mode 100644 index 0000000000..f8ce3cc5f5 --- /dev/null +++ b/man/expr_c.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/quo.R +\name{expr_c} +\alias{expr_c} +\title{Concatenate One or More Expressions} +\usage{ +expr_c(...) +} +\arguments{ +\item{...}{One or more expressions or list of expressions} +} +\value{ +A list of expressions +} +\description{ +Concatenate One or More Expressions +} +\seealso{ +Other quo: +\code{\link{add_suffix_to_vars}()}, +\code{\link{replace_symbol_in_expr}()}, +\code{\link{replace_values_by_names}()} +} +\concept{quo} +\keyword{quo} diff --git a/man/extract_duplicate_records.Rd b/man/extract_duplicate_records.Rd index 816990253c..5458dfdaa2 100644 --- a/man/extract_duplicate_records.Rd +++ b/man/extract_duplicate_records.Rd @@ -30,7 +30,7 @@ data(admiral_adsl) # Duplicate the first record adsl <- rbind(admiral_adsl[1L, ], admiral_adsl) -extract_duplicate_records(adsl, exprs(USUBJID)) +extract_duplicate_records(adsl, get_admiral_option("subject_keys")) } \seealso{ Other internal: diff --git a/man/extract_unit.Rd b/man/extract_unit.Rd index de01106eee..9d3a8c411e 100644 --- a/man/extract_unit.Rd +++ b/man/extract_unit.Rd @@ -25,7 +25,8 @@ Utilities used within Derivation functions: \code{\link{call_user_fun}()}, \code{\link{get_flagged_records}()}, \code{\link{get_not_mapped}()}, -\code{\link{get_vars_query}()} +\code{\link{get_vars_query}()}, +\code{\link{process_set_values_to}()} } \concept{utils_help} \keyword{utils_help} diff --git a/man/extract_vars.Rd b/man/extract_vars.Rd new file mode 100644 index 0000000000..08b6160640 --- /dev/null +++ b/man/extract_vars.Rd @@ -0,0 +1,39 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev_utilities.R +\name{extract_vars} +\alias{extract_vars} +\title{Extract All Symbols from a List of Expressions} +\usage{ +extract_vars(x, side = "lhs") +} +\arguments{ +\item{x}{An \code{R} object} + +\item{side}{One of \code{"lhs"} (the default) or \code{"rhs"} for formulas} +} +\value{ +A list of expressions +} +\description{ +Extract All Symbols from a List of Expressions +} +\examples{ +library(rlang) +extract_vars(exprs(PARAMCD, (BASE - AVAL) / BASE + 100)) +extract_vars(AVAL ~ ARMCD + AGEGR1) +extract_vars(AVAL ~ ARMCD + AGEGR1, side = "rhs") +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{\%or\%}()}, +\code{\link{arg_name}()}, +\code{\link{contains_vars}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{filter_if}()}, +\code{\link{friendly_type_of}()}, +\code{\link{valid_time_units}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/figures/admiral_contribution_model.png b/man/figures/admiral_contribution_model.png new file mode 100644 index 0000000000000000000000000000000000000000..b6034b166456d3e8108213cac0ede70377155b7a GIT binary patch literal 167331 zcmZ_0N6z$0+aC7GHVi|C#s&;eKR_D%2h3r}(9EHk!;G2DoYM}x2yekl@jf)tz<|dp zzULQY7#8q6-3-N0Rd>AZtNMTc8sfkExBu(E{l`E4@$Y1bxBu~v|Kb1s$3Omi<$wAg z!IA&;-~G@32l)Cot1Yts_&@)z|Ls5i$ zzuPBOG5qTd@xLH&gMT0VhI~9%uxYs91BSq1lm%Ph1cCj%c@fxu07sZ<>WZL9)gO4e 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Must be an expression.} +} +\value{ +A \code{data.frame} containing all rows in \code{dataset} matching \code{filter} or +just \code{dataset} if \code{filter} is \code{NULL} +} +\description{ +Filters the input dataset if the provided expression is not \code{NULL} +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{\%or\%}()}, +\code{\link{arg_name}()}, +\code{\link{contains_vars}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{extract_vars}()}, +\code{\link{friendly_type_of}()}, +\code{\link{valid_time_units}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/filter_joined.Rd b/man/filter_joined.Rd index 13cdce5168..fbaddf1b99 100644 --- a/man/filter_joined.Rd +++ b/man/filter_joined.Rd @@ -290,7 +290,7 @@ adae <- tribble( filter_joined( adae, dataset_add = adae, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), join_vars = exprs(ACOVFL, ADY), join_type = "all", order = exprs(ADY), @@ -314,7 +314,7 @@ data <- tribble( filter_joined( data, dataset_add = data, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), join_vars = exprs(AVALC, AVISITN), join_type = "after", order = exprs(AVISITN), @@ -344,7 +344,7 @@ data <- tribble( filter_joined( data, dataset_add = data, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), join_vars = exprs(AVALC), join_type = "after", order = exprs(AVISITN), @@ -377,7 +377,7 @@ data <- tribble( filter_joined( data, dataset_add = data, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), join_vars = exprs(AVALC, ADY), join_type = "after", order = exprs(ADY), @@ -410,7 +410,7 @@ data <- tribble( filter_joined( data, dataset_add = data, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), tmp_obs_nr_var = tmp_obs_nr, join_vars = exprs(CRIT1FL), join_type = "all", diff --git a/man/filter_not_exist.Rd b/man/filter_not_exist.Rd index 4d6ded6c51..1a8b479f70 100644 --- a/man/filter_not_exist.Rd +++ b/man/filter_not_exist.Rd @@ -75,7 +75,7 @@ adcm <- tribble( filter_not_exist( dataset = adsl, dataset_add = adcm, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = str_detect(CMTRT, "VITAMIN") ) diff --git a/man/filter_relative.Rd b/man/filter_relative.Rd index 0f27d52cf2..5fc1ea2986 100644 --- a/man/filter_relative.Rd +++ b/man/filter_relative.Rd @@ -114,7 +114,7 @@ response <- tribble( # Select observations up to first PD for each patient response \%>\% filter_relative( - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), condition = AVALC == "PD", mode = "first", @@ -125,7 +125,7 @@ response \%>\% # Select observations after last CR, PR, or SD for each patient response \%>\% filter_relative( - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), condition = AVALC \%in\% c("CR", "PR", "SD"), mode = "last", @@ -136,7 +136,7 @@ response \%>\% # Select observations from first response to first PD response \%>\% filter_relative( - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), condition = AVALC \%in\% c("CR", "PR"), mode = "first", @@ -145,7 +145,7 @@ response \%>\% keep_no_ref_groups = FALSE ) \%>\% filter_relative( - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), condition = AVALC == "PD", mode = "first", diff --git a/man/friendly_type_of.Rd b/man/friendly_type_of.Rd new file mode 100644 index 0000000000..f88d630757 --- /dev/null +++ b/man/friendly_type_of.Rd @@ -0,0 +1,42 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/compat_friendly_type.R +\name{friendly_type_of} +\alias{friendly_type_of} +\title{Return English-friendly messaging for object-types} +\usage{ +friendly_type_of(x, value = TRUE, length = FALSE) +} +\arguments{ +\item{x}{Any R object.} + +\item{value}{Whether to describe the value of \code{x}.} + +\item{length}{Whether to mention the length of vectors and lists.} +} +\value{ +A string describing the type. Starts with an indefinite +article, e.g. "an integer vector". +} +\description{ +Return English-friendly messaging for object-types +} +\details{ +This helper function aids us in forming user-friendly messages that gets +called through \code{what_is_it()}, which is often used in the assertion functions +to identify what object-type the user passed through an argument instead of +an expected-type. +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{\%or\%}()}, +\code{\link{arg_name}()}, +\code{\link{contains_vars}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{extract_vars}()}, +\code{\link{filter_if}()}, +\code{\link{valid_time_units}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/get_constant_vars.Rd b/man/get_constant_vars.Rd new file mode 100644 index 0000000000..1a4c58c73c --- /dev/null +++ b/man/get_constant_vars.Rd @@ -0,0 +1,36 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/get.R +\name{get_constant_vars} +\alias{get_constant_vars} +\title{Get Constant Variables} +\usage{ +get_constant_vars(dataset, by_vars, ignore_vars = NULL) +} +\arguments{ +\item{dataset}{A data frame.} + +\item{by_vars}{By variables +The groups defined by the by variables are considered separately. I.e., if +a variable is constant within each by group, it is returned.} + +\item{ignore_vars}{Variables to ignore +The specified variables are not considered, i.e., they are not returned +even if they are constant (unless they are included in the by variables). + +\emph{Permitted Values:} A list of variable names or selector function calls +like \code{starts_with("EX")}} +} +\value{ +Variable vector. +} +\description{ +Get Constant Variables +} +\seealso{ +Other get: +\code{\link{get_dataset}()}, +\code{\link{get_duplicates}()}, +\code{\link{get_source_vars}()} +} +\concept{get} +\keyword{get} diff --git a/man/get_dataset.Rd b/man/get_dataset.Rd new file mode 100644 index 0000000000..81a146ae14 --- /dev/null +++ b/man/get_dataset.Rd @@ -0,0 +1,45 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/get.R +\name{get_dataset} +\alias{get_dataset} +\title{Retrieve a Dataset from the \code{admiraldev_environment} environment} +\usage{ +get_dataset(name) +} +\arguments{ +\item{name}{The name of the dataset to retrieve} +} +\value{ +A \code{data.frame} +} +\description{ +Retrieve a Dataset from the \code{admiraldev_environment} environment +} +\details{ +Sometimes, developers may want to provide information to users which does not fit into a +warning or error message. For example, if the input dataset of a function contains unexpected +records, these can be stored in a separate dataset, which users can access to investigate +the issue. + +To achieve this, R has a data structure known as an 'environment'. These environment objects +are created at build time, but can be populated with values after the package has been loaded +and update those values over the course of an R session. + +As so, the establishment of \code{admiraldev_environment} allows us to create dynamic data/objects +based on user-inputs that need modification. The purpose of \code{get_dataset} is to +retrieve the datasets contained inside \code{admiraldev_environment}. + +Currently we only support two datasets inside our \code{admiraldev_environment} object: +\itemize{ +\item \code{one_to_many} +\item \code{many_to_one} +} +} +\seealso{ +Other get: +\code{\link{get_constant_vars}()}, +\code{\link{get_duplicates}()}, +\code{\link{get_source_vars}()} +} +\concept{get} +\keyword{get} diff --git a/man/get_duplicates.Rd b/man/get_duplicates.Rd new file mode 100644 index 0000000000..e9b5db0de6 --- /dev/null +++ b/man/get_duplicates.Rd @@ -0,0 +1,30 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/get.R +\name{get_duplicates} +\alias{get_duplicates} +\title{Get Duplicates From a Vector} +\usage{ +get_duplicates(x) +} +\arguments{ +\item{x}{An atomic vector} +} +\value{ +A vector of the same type as \code{x} contain duplicate values +} +\description{ +Get Duplicates From a Vector +} +\examples{ +get_duplicates(1:10) + +get_duplicates(c("a", "a", "b", "c", "d", "d")) +} +\seealso{ +Other get: +\code{\link{get_constant_vars}()}, +\code{\link{get_dataset}()}, +\code{\link{get_source_vars}()} +} +\concept{get} +\keyword{get} diff --git a/man/get_duplicates_dataset.Rd b/man/get_duplicates_dataset.Rd index cad6a7b71e..be17e983ca 100644 --- a/man/get_duplicates_dataset.Rd +++ b/man/get_duplicates_dataset.Rd @@ -29,7 +29,7 @@ data(admiral_adsl) # Duplicate the first record adsl <- rbind(admiral_adsl[1L, ], admiral_adsl) -signal_duplicate_records(adsl, exprs(USUBJID), cnd_type = "warning") +signal_duplicate_records(adsl, get_admiral_option("subject_keys"), cnd_type = "warning") get_duplicates_dataset() } diff --git a/man/get_flagged_records.Rd b/man/get_flagged_records.Rd index 984576aa85..484a732d08 100644 --- a/man/get_flagged_records.Rd +++ b/man/get_flagged_records.Rd @@ -58,7 +58,7 @@ get_flagged_records( new_var = AERELFL, condition = AEREL == "PROBABLE" ) \%>\% - select(STUDYID, USUBJID, AERELFL) + select(!!!get_admiral_option("subject_keys"), AERELFL) vs <- tribble( ~STUDYID, ~DOMAIN, ~USUBJID, ~VISIT, ~VSTESTCD, ~VSSTRESN, ~VSBLFL, @@ -81,7 +81,7 @@ get_flagged_records( condition = VSSTRESN > 90, filter = VSTESTCD == "WEIGHT" & VSBLFL == "Y" ) \%>\% - select(STUDYID, USUBJID, WTBLHIFL) + select(!!!get_admiral_option("subject_keys"), WTBLHIFL) } \seealso{ @@ -89,7 +89,8 @@ Utilities used within Derivation functions: \code{\link{call_user_fun}()}, \code{\link{extract_unit}()}, \code{\link{get_not_mapped}()}, -\code{\link{get_vars_query}()} +\code{\link{get_vars_query}()}, +\code{\link{process_set_values_to}()} } \concept{utils_help} \keyword{utils_help} diff --git a/man/get_new_tmp_var.Rd b/man/get_new_tmp_var.Rd new file mode 100644 index 0000000000..2de034536a --- /dev/null +++ b/man/get_new_tmp_var.Rd @@ -0,0 +1,41 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/tmp_vars.R +\name{get_new_tmp_var} +\alias{get_new_tmp_var} +\title{Get a New Temporary Variable Name for a Dataset} +\usage{ +get_new_tmp_var(dataset, prefix = "tmp_var") +} +\arguments{ +\item{dataset}{The input dataset} + +\item{prefix}{The prefix of the new temporary variable name to create} +} +\value{ +The name of a new temporary variable as a symbol +} +\description{ +Get a New Temporary Variable Name for a Dataset +} +\details{ +The function returns a new unique temporary variable name to be used inside +\code{dataset}. The temporary variable names have the structure \code{prefix_n} where +\code{n} is an integer, e.g. \code{tmp_var_1}. If there is already a variable inside +\code{datset} with a given \code{prefix} then the suffix is increased by 1, e.g. if +\code{tmp_var_1} already exists then \code{get_new_tmp_var()} will return \code{tmp_var_2}. +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +dm <- tribble( + ~DOMAIN, ~STUDYID, ~USUBJID, + "DM", "STUDY X", "01-701-1015", + "DM", "STUDY X", "01-701-1016", +) + +tmp_var <- get_new_tmp_var(dm) +mutate(dm, !!tmp_var := NA) +} +\seealso{ +\code{\link[=remove_tmp_vars]{remove_tmp_vars()}} +} +\keyword{tmp_vars} diff --git a/man/get_not_mapped.Rd b/man/get_not_mapped.Rd index 0150a48b9a..4a8f602b67 100644 --- a/man/get_not_mapped.Rd +++ b/man/get_not_mapped.Rd @@ -17,7 +17,8 @@ Utilities used within Derivation functions: \code{\link{call_user_fun}()}, \code{\link{extract_unit}()}, \code{\link{get_flagged_records}()}, -\code{\link{get_vars_query}()} +\code{\link{get_vars_query}()}, +\code{\link{process_set_values_to}()} } \concept{utils_help} \keyword{utils_help} diff --git a/man/get_source_vars.Rd b/man/get_source_vars.Rd new file mode 100644 index 0000000000..4761825aa2 --- /dev/null +++ b/man/get_source_vars.Rd @@ -0,0 +1,27 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/get.R +\name{get_source_vars} +\alias{get_source_vars} +\title{Get Source Variables from a List of Expressions} +\usage{ +get_source_vars(expressions, quosures) +} +\arguments{ +\item{expressions}{A list of expressions} + +\item{quosures}{\emph{Deprecated}, please use \code{expressions} instead.} +} +\value{ +A list of expressions +} +\description{ +Get Source Variables from a List of Expressions +} +\seealso{ +Other get: +\code{\link{get_constant_vars}()}, +\code{\link{get_dataset}()}, +\code{\link{get_duplicates}()} +} +\concept{get} +\keyword{get} diff --git a/man/get_vars_query.Rd b/man/get_vars_query.Rd index c5181f8b3d..a894d4d1e8 100644 --- a/man/get_vars_query.Rd +++ b/man/get_vars_query.Rd @@ -77,7 +77,8 @@ Utilities used within Derivation functions: \code{\link{call_user_fun}()}, \code{\link{extract_unit}()}, \code{\link{get_flagged_records}()}, -\code{\link{get_not_mapped}()} +\code{\link{get_not_mapped}()}, +\code{\link{process_set_values_to}()} } \concept{utils_help} \keyword{utils_help} diff --git a/man/grapes-notin-grapes.Rd b/man/grapes-notin-grapes.Rd new file mode 100644 index 0000000000..43c7340827 --- /dev/null +++ b/man/grapes-notin-grapes.Rd @@ -0,0 +1,34 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev_utilities.R +\name{\%notin\%} +\alias{\%notin\%} +\title{Negated Value Matching} +\usage{ +x \%notin\% table +} +\arguments{ +\item{x}{The values to be matched} + +\item{table}{The values to be matched against} +} +\value{ +A \code{logical} vector +} +\description{ +Returns a \code{logical} vector indicating if there is \emph{no} match of the +left operand in the right operand. +} +\seealso{ +Other dev_utility: +\code{\link{\%or\%}()}, +\code{\link{arg_name}()}, +\code{\link{contains_vars}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{extract_vars}()}, +\code{\link{filter_if}()}, +\code{\link{friendly_type_of}()}, +\code{\link{valid_time_units}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/grapes-or-grapes.Rd b/man/grapes-or-grapes.Rd new file mode 100644 index 0000000000..1417f1574d --- /dev/null +++ b/man/grapes-or-grapes.Rd @@ -0,0 +1,38 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev_utilities.R +\name{\%or\%} +\alias{\%or\%} +\title{Or} +\usage{ +lhs \%or\% rhs +} +\arguments{ +\item{lhs}{Any valid R expression} + +\item{rhs}{Any valid R expression} +} +\value{ +Either the result of evaluating \code{lhs}, \code{rhs} or an error +} +\description{ +Or +} +\details{ +The function evaluates the expression \code{lhs} and if this expression results +in an error, it catches that error and proceeds with evaluating the expression +\code{rhs} and returns that result. +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{arg_name}()}, +\code{\link{contains_vars}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{extract_vars}()}, +\code{\link{filter_if}()}, +\code{\link{friendly_type_of}()}, +\code{\link{valid_time_units}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/hello.Rd b/man/hello.Rd new file mode 100644 index 0000000000..069fe274c3 --- /dev/null +++ b/man/hello.Rd @@ -0,0 +1,11 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/hello.R +\name{hello} +\alias{hello} +\title{Print Hello World} +\usage{ +hello() +} +\description{ +Print Hello World +} diff --git a/man/is_auto.Rd b/man/is_auto.Rd new file mode 100644 index 0000000000..246df1e6de --- /dev/null +++ b/man/is_auto.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/is.R +\name{is_auto} +\alias{is_auto} +\title{Checks if the argument equals the auto keyword} +\usage{ +is_auto(arg) +} +\arguments{ +\item{arg}{argument to check} +} +\value{ +\code{TRUE} if the argument equals the auto keyword, i.e., it is an +expression of a symbol named auto. +} +\description{ +Checks if the argument equals the auto keyword +} +\seealso{ +Other is: +\code{\link{is_order_vars}()}, +\code{\link{is_valid_dtc}()} +} +\concept{is} +\keyword{is} diff --git a/man/is_order_vars.Rd b/man/is_order_vars.Rd new file mode 100644 index 0000000000..c95f23cd2b --- /dev/null +++ b/man/is_order_vars.Rd @@ -0,0 +1,24 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/is.R +\name{is_order_vars} +\alias{is_order_vars} +\title{Is order vars?} +\usage{ +is_order_vars(arg) +} +\arguments{ +\item{arg}{An R object} +} +\value{ +\code{FALSE} if the argument is not a list of order vars +} +\description{ +Check if inputs are created using \code{exprs()} or calls involving \code{desc()} +} +\seealso{ +Other is: +\code{\link{is_auto}()}, +\code{\link{is_valid_dtc}()} +} +\concept{is} +\keyword{is} diff --git a/man/is_valid_dtc.Rd b/man/is_valid_dtc.Rd new file mode 100644 index 0000000000..a8360b3e64 --- /dev/null +++ b/man/is_valid_dtc.Rd @@ -0,0 +1,24 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/is.R +\name{is_valid_dtc} +\alias{is_valid_dtc} +\title{Is this string a valid DTC} +\usage{ +is_valid_dtc(arg) +} +\arguments{ +\item{arg}{A \code{character} vector} +} +\value{ +\code{TRUE} if the argument is a valid \code{--DTC} string, \code{FALSE} otherwise +} +\description{ +Is this string a valid DTC +} +\seealso{ +Other is: +\code{\link{is_auto}()}, +\code{\link{is_order_vars}()} +} +\concept{is} +\keyword{is} diff --git a/man/joins.Rd b/man/joins.Rd new file mode 100644 index 0000000000..35082cb9a2 --- /dev/null +++ b/man/joins.Rd @@ -0,0 +1,35 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/joins.R +\name{anti_join} +\alias{anti_join} +\alias{inner_join} +\alias{left_join} +\title{Join Functions} +\usage{ +anti_join(x, y, by = NULL, copy = FALSE, ...) + +inner_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...) + +left_join(x, y, by = NULL, copy = FALSE, suffix = c(".x", ".y"), ...) +} +\arguments{ +\item{x}{\code{data.frame}} + +\item{y}{\code{data.frame}} + +\item{by}{\code{character} vector} + +\item{copy}{\code{logical}} + +\item{...}{Additional arguments} + +\item{suffix}{\code{character} vector} +} +\value{ +\code{data.frame} +} +\description{ +The \verb{*_join()} functions from \code{{dplyr}} without a warning on different attributes +in datasets. +} +\keyword{joins} diff --git a/man/params.Rd b/man/params.Rd index ba41405a43..6bf867f309 100644 --- a/man/params.Rd +++ b/man/params.Rd @@ -55,7 +55,7 @@ adae <- ae \%>\% derive_vars_merged( dataset_add = adsl, new_vars = exprs(TRTSDT, TRTEDT), - by_vars = exprs(USUBJID) + by_vars = get_admiral_option("subject_keys") ) ## In order to derive both `ASTDT` and `AENDT` in `ADAE`, one can use `derive_vars_dt()` diff --git a/man/process_set_values_to.Rd b/man/process_set_values_to.Rd new file mode 100644 index 0000000000..e6caba9f80 --- /dev/null +++ b/man/process_set_values_to.Rd @@ -0,0 +1,69 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/process_set_values_to.R +\name{process_set_values_to} +\alias{process_set_values_to} +\title{Process \code{set_values_to} Argument} +\usage{ +process_set_values_to(dataset, set_values_to = NULL, expected_types = NULL) +} +\arguments{ +\item{dataset}{Input dataset} + +\item{set_values_to}{Variables to set + +A named list returned by \code{exprs()} defining the variables to be set, e.g. +\code{exprs(PARAMCD = "OS", PARAM = "Overall Survival")} is expected. The values +must be symbols, character strings, numeric values, expressions, or \code{NA}.} + +\item{expected_types}{If the argument is specified, the specified variables are checked whether +the specified type matches the type of the variables created by +\code{set_values_to}. + +\emph{Permitted Values}: A character vector with values \code{"numeric"} or +\code{"character"}} +} +\value{ +The input dataset with the variables specified by \code{set_values_to} +added/updated +} +\description{ +The function creates the variables specified by the \code{set_values_to} argument, +catches errors, provides user friendly error messages, and optionally checks +the type of the created variables. +} +\examples{ +library(dplyr) +data <- tribble( + ~AVAL, + 20 +) + +try( + process_set_values_to( + data, + set_values_to = exprs( + PARAMCD = BMI + ) + ) +) + +try( + process_set_values_to( + data, + set_values_to = exprs( + PARAMCD = 42 + ), + expected_types = c(PARAMCD = "character") + ) +) +} +\seealso{ +Utilities used within Derivation functions: +\code{\link{call_user_fun}()}, +\code{\link{extract_unit}()}, +\code{\link{get_flagged_records}()}, +\code{\link{get_not_mapped}()}, +\code{\link{get_vars_query}()} +} +\concept{utils_help} +\keyword{utils_help} diff --git a/man/remove_tmp_vars.Rd b/man/remove_tmp_vars.Rd new file mode 100644 index 0000000000..a19e772beb --- /dev/null +++ b/man/remove_tmp_vars.Rd @@ -0,0 +1,46 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/tmp_vars.R +\name{remove_tmp_vars} +\alias{remove_tmp_vars} +\title{Remove All Temporary Variables Created Within the Current Function Environment} +\usage{ +remove_tmp_vars(dataset) +} +\arguments{ +\item{dataset}{The input dataset} +} +\value{ +The input dataset with temporary variables removed +} +\description{ +Remove All Temporary Variables Created Within the Current Function Environment +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +dm <- tribble( + ~DOMAIN, ~STUDYID, ~USUBJID, + "DM", "STUDY X", "01-701-1015", + "DM", "STUDY X", "01-701-1016", +) +dm <- select(dm, USUBJID) +tmp_var <- get_new_tmp_var(dm) +dm <- mutate(dm, !!tmp_var := NA) + +## This function creates two new temporary variables which are removed when calling +## `remove_tmp_vars()`. Note that any temporary variable created outside this +## function is **not** removed +do_something <- function(dataset) { + tmp_var_1 <- get_new_tmp_var(dm) + tmp_var_2 <- get_new_tmp_var(dm) + dm \%>\% + mutate(!!tmp_var_1 := NA, !!tmp_var_2 := NA) \%>\% + print() \%>\% + remove_tmp_vars() +} + +do_something(dm) +} +\seealso{ +\code{\link[=get_new_tmp_var]{get_new_tmp_var()}} +} +\keyword{tmp_vars} diff --git a/man/replace_symbol_in_expr.Rd b/man/replace_symbol_in_expr.Rd new file mode 100644 index 0000000000..751d14aaa1 --- /dev/null +++ b/man/replace_symbol_in_expr.Rd @@ -0,0 +1,41 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/quo.R +\name{replace_symbol_in_expr} +\alias{replace_symbol_in_expr} +\title{Replace Symbols in an Expression} +\usage{ +replace_symbol_in_expr(expression, target, replace) +} +\arguments{ +\item{expression}{Expression} + +\item{target}{Target symbol} + +\item{replace}{Replacing symbol} +} +\value{ +The expression where every occurrence of the symbol \code{target} is +replaced by \code{replace} +} +\description{ +Replace symbols in an expression +} +\examples{ + +library(rlang) + +replace_symbol_in_expr(expr(AVAL), target = AVAL, replace = AVAL.join) +replace_symbol_in_expr(expr(AVALC), target = AVAL, replace = AVAL.join) +replace_symbol_in_expr(expr(desc(AVAL)), target = AVAL, replace = AVAL.join) +} +\seealso{ +Other quo: +\code{\link{add_suffix_to_vars}()}, +\code{\link{expr_c}()}, +\code{\link{replace_values_by_names}()} +} +\author{ +Stefan Bundfuss +} +\concept{quo} +\keyword{quo} diff --git a/man/replace_values_by_names.Rd b/man/replace_values_by_names.Rd new file mode 100644 index 0000000000..2530026396 --- /dev/null +++ b/man/replace_values_by_names.Rd @@ -0,0 +1,31 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/quo.R +\name{replace_values_by_names} +\alias{replace_values_by_names} +\title{Replace Expression Value with Name} +\usage{ +replace_values_by_names(expressions, quosures) +} +\arguments{ +\item{expressions}{A list of expressions} + +\item{quosures}{\emph{Deprecated}, please use \code{expressions} instead.} +} +\value{ +A list of expressions +} +\description{ +Replace Expression Value with Name +} +\examples{ +library(rlang) +replace_values_by_names(exprs(AVAL, ADT = convert_dtc_to_dt(EXSTDTC))) +} +\seealso{ +Other quo: +\code{\link{add_suffix_to_vars}()}, +\code{\link{expr_c}()}, +\code{\link{replace_symbol_in_expr}()} +} +\concept{quo} +\keyword{quo} diff --git a/man/restrict_derivation.Rd b/man/restrict_derivation.Rd index 9afa13a8fd..7726167744 100644 --- a/man/restrict_derivation.Rd +++ b/man/restrict_derivation.Rd @@ -47,7 +47,7 @@ restrict_derivation( adlb, derivation = derive_vars_merged, args = params( - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), dataset_add = adlb, filter_add = ABLFL == "Y", new_vars = exprs(BASE = AVAL) @@ -60,7 +60,7 @@ restrict_derivation( adlb, derivation = derive_var_base, args = params( - by_vars = exprs(USUBJID) + by_vars = get_admiral_option("subject_keys") ), filter = AVISITN >= 0 ) \%>\% diff --git a/man/signal_duplicate_records.Rd b/man/signal_duplicate_records.Rd index 0ae321a7f2..07a76b7137 100644 --- a/man/signal_duplicate_records.Rd +++ b/man/signal_duplicate_records.Rd @@ -41,7 +41,7 @@ data(admiral_adsl) # Duplicate the first record adsl <- rbind(admiral_adsl[1L, ], admiral_adsl) -signal_duplicate_records(adsl, exprs(USUBJID), cnd_type = "message") +signal_duplicate_records(adsl, get_admiral_option("subject_keys"), cnd_type = "message") } \seealso{ Other internal: diff --git a/man/squote.Rd b/man/squote.Rd new file mode 100644 index 0000000000..81253e846c --- /dev/null +++ b/man/squote.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/quote.R +\name{squote} +\alias{squote} +\title{Wrap a String in Single Quotes} +\usage{ +squote(x) +} +\arguments{ +\item{x}{A \code{character} vector} +} +\value{ +A \code{character} vector +} +\description{ +Wrap a String in Single Quotes +} +\seealso{ +Other quote: +\code{\link{backquote}()}, +\code{\link{dquote}()}, +\code{\link{enumerate}()} +} +\concept{quote} +\keyword{quote} diff --git a/man/suppress_warning.Rd b/man/suppress_warning.Rd new file mode 100644 index 0000000000..e96716cb41 --- /dev/null +++ b/man/suppress_warning.Rd @@ -0,0 +1,32 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/warnings.R +\name{suppress_warning} +\alias{suppress_warning} +\title{Suppress Specific Warnings} +\usage{ +suppress_warning(expr, regexpr) +} +\arguments{ +\item{expr}{Expression to be executed} + +\item{regexpr}{Regular expression matching warnings to suppress} +} +\value{ +Return value of the expression +} +\description{ +Suppress certain warnings issued by an expression. +} +\details{ +All warnings which are issued by the expression and match the regular expression +are suppressed. +} +\seealso{ +Other warnings: +\code{\link{warn_if_incomplete_dtc}()}, +\code{\link{warn_if_inconsistent_list}()}, +\code{\link{warn_if_invalid_dtc}()}, +\code{\link{warn_if_vars_exist}()} +} +\concept{warnings} +\keyword{warnings} diff --git a/man/use_ad_template.Rd b/man/use_ad_template.Rd index 55847a584f..38091587ab 100644 --- a/man/use_ad_template.Rd +++ b/man/use_ad_template.Rd @@ -14,7 +14,7 @@ use_ad_template( } \arguments{ \item{adam_name}{An ADaM dataset name. You can use any of the available dataset name -ADAE, ADCM, ADEG, ADEX, ADLB, ADLBHY, ADMH, ADPC, ADPP, ADPPK, ADSL, ADVS, and the dataset name is case-insensitive. The default dataset +ADAE, ADCM, ADEG, ADEX, ADLB, ADLBHY, ADMH, ADPC, ADPP, ADPPK, ADSL, ADVS, ADXX, and the dataset name is case-insensitive. The default dataset name is ADSL.} \item{save_path}{Path to save the script.} diff --git a/man/valid_time_units.Rd b/man/valid_time_units.Rd new file mode 100644 index 0000000000..c51c6c595a --- /dev/null +++ b/man/valid_time_units.Rd @@ -0,0 +1,28 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev_utilities.R +\name{valid_time_units} +\alias{valid_time_units} +\title{Valid Time Units} +\usage{ +valid_time_units() +} +\value{ +A \code{character} vector of valid time units +} +\description{ +Contains the acceptable character vector of valid time units +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{\%or\%}()}, +\code{\link{arg_name}()}, +\code{\link{contains_vars}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{extract_vars}()}, +\code{\link{filter_if}()}, +\code{\link{friendly_type_of}()}, +\code{\link{vars2chr}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/vars2chr.Rd b/man/vars2chr.Rd new file mode 100644 index 0000000000..e24465dbf1 --- /dev/null +++ b/man/vars2chr.Rd @@ -0,0 +1,39 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/dev_utilities.R +\name{vars2chr} +\alias{vars2chr} +\title{Turn a List of Expressions into a Character Vector} +\usage{ +vars2chr(expressions, quosures) +} +\arguments{ +\item{expressions}{A \code{list} of expressions created using \code{\link[=exprs]{exprs()}}} + +\item{quosures}{\emph{Deprecated}, please use \code{expressions} instead.} +} +\value{ +A character vector +} +\description{ +Turn a List of Expressions into a Character Vector +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +library(rlang) + +vars2chr(exprs(USUBJID, AVAL)) +} +\seealso{ +Other dev_utility: +\code{\link{\%notin\%}()}, +\code{\link{\%or\%}()}, +\code{\link{arg_name}()}, +\code{\link{contains_vars}()}, +\code{\link{convert_dtm_to_dtc}()}, +\code{\link{extract_vars}()}, +\code{\link{filter_if}()}, +\code{\link{friendly_type_of}()}, +\code{\link{valid_time_units}()} +} +\concept{dev_utility} +\keyword{dev_utility} diff --git a/man/warn_if_incomplete_dtc.Rd b/man/warn_if_incomplete_dtc.Rd new file mode 100644 index 0000000000..a0a53619c7 --- /dev/null +++ b/man/warn_if_incomplete_dtc.Rd @@ -0,0 +1,28 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/warnings.R +\name{warn_if_incomplete_dtc} +\alias{warn_if_incomplete_dtc} +\title{Warn if incomplete dtc} +\usage{ +warn_if_incomplete_dtc(dtc, n) +} +\arguments{ +\item{dtc}{A \code{character} vector of date-times in ISO 8601 format} + +\item{n}{A non-negative integer} +} +\value{ +A warning if \code{dtc} contains any partial dates +} +\description{ +Warn if incomplete dtc +} +\seealso{ +Other warnings: +\code{\link{suppress_warning}()}, +\code{\link{warn_if_inconsistent_list}()}, +\code{\link{warn_if_invalid_dtc}()}, +\code{\link{warn_if_vars_exist}()} +} +\concept{warnings} +\keyword{warnings} diff --git a/man/warn_if_inconsistent_list.Rd b/man/warn_if_inconsistent_list.Rd new file mode 100644 index 0000000000..b192f08f9b --- /dev/null +++ b/man/warn_if_inconsistent_list.Rd @@ -0,0 +1,51 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/warnings.R +\name{warn_if_inconsistent_list} +\alias{warn_if_inconsistent_list} +\title{Warn If Two Lists are Inconsistent} +\usage{ +warn_if_inconsistent_list(base, compare, list_name, i = 2) +} +\arguments{ +\item{base}{A named list} + +\item{compare}{A named list} + +\item{list_name}{A string +the name of the list} + +\item{i}{the index id to compare the 2 lists} +} +\value{ +a \code{warning} if the 2 lists have different names or length +} +\description{ +Checks if two list inputs have the same names and same number of elements and +issues a warning otherwise. +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +library(rlang) + +# no warning +warn_if_inconsistent_list( + base = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ), + compare = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ), + list_name = "Test" +) +# warning +warn_if_inconsistent_list( + base = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ, DTHVAR = "text"), + compare = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ), + list_name = "Test" +) +} +\seealso{ +Other warnings: +\code{\link{suppress_warning}()}, +\code{\link{warn_if_incomplete_dtc}()}, +\code{\link{warn_if_invalid_dtc}()}, +\code{\link{warn_if_vars_exist}()} +} +\concept{warnings} +\keyword{warnings} diff --git a/man/warn_if_invalid_dtc.Rd b/man/warn_if_invalid_dtc.Rd new file mode 100644 index 0000000000..211cfa7c35 --- /dev/null +++ b/man/warn_if_invalid_dtc.Rd @@ -0,0 +1,37 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/warnings.R +\name{warn_if_invalid_dtc} +\alias{warn_if_invalid_dtc} +\title{Warn If a Vector Contains Unknown Datetime Format} +\usage{ +warn_if_invalid_dtc(dtc, is_valid = is_valid_dtc(dtc)) +} +\arguments{ +\item{dtc}{a character vector containing the dates} + +\item{is_valid}{a logical vector indicating whether elements in \code{dtc} are valid} +} +\value{ +No return value, called for side effects +} +\description{ +Warn if the vector contains unknown datetime format such as +"2003-12-15T-:15:18", "2003-12-15T13:-:19","--12-15","-----T07:15" +} +\examples{ + +## No warning as `dtc` is a valid date format +warn_if_invalid_dtc(dtc = "2021-04-06") + +## Issues a warning +warn_if_invalid_dtc(dtc = "2021-04-06T-:30:30") +} +\seealso{ +Other warnings: +\code{\link{suppress_warning}()}, +\code{\link{warn_if_incomplete_dtc}()}, +\code{\link{warn_if_inconsistent_list}()}, +\code{\link{warn_if_vars_exist}()} +} +\concept{warnings} +\keyword{warnings} diff --git a/man/warn_if_vars_exist.Rd b/man/warn_if_vars_exist.Rd new file mode 100644 index 0000000000..4ad6dd5dd8 --- /dev/null +++ b/man/warn_if_vars_exist.Rd @@ -0,0 +1,42 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/warnings.R +\name{warn_if_vars_exist} +\alias{warn_if_vars_exist} +\title{Warn If a Variable Already Exists} +\usage{ +warn_if_vars_exist(dataset, vars) +} +\arguments{ +\item{dataset}{A \code{data.frame}} + +\item{vars}{\code{character} vector of columns to check for in \code{dataset}} +} +\value{ +No return value, called for side effects +} +\description{ +Warn if a variable already exists inside a dataset +} +\examples{ +library(dplyr, warn.conflicts = FALSE) +dm <- tribble( + ~USUBJID, ~ARM, + "01-701-1015", "Placebo", + "01-701-1016", "Placebo", +) + +## No warning as `AAGE` doesn't exist in `dm` +warn_if_vars_exist(dm, "AAGE") + +## Issues a warning +warn_if_vars_exist(dm, "ARM") +} +\seealso{ +Other warnings: +\code{\link{suppress_warning}()}, +\code{\link{warn_if_incomplete_dtc}()}, +\code{\link{warn_if_inconsistent_list}()}, +\code{\link{warn_if_invalid_dtc}()} +} +\concept{warnings} +\keyword{warnings} diff --git a/man/what_is_it.Rd b/man/what_is_it.Rd new file mode 100644 index 0000000000..7e460ab72e --- /dev/null +++ b/man/what_is_it.Rd @@ -0,0 +1,25 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/what.R +\name{what_is_it} +\alias{what_is_it} +\title{What Kind of Object is This?} +\usage{ +what_is_it(x) +} +\arguments{ +\item{x}{Any R object} +} +\value{ +A \code{character} description of the type of \code{x} +} +\description{ +Returns a string describing what kind of object the input is. +} +\examples{ +what_is_it("abc") +what_is_it(1L) +what_is_it(1:10) +what_is_it(mtcars) +} +\concept{what} +\keyword{what} diff --git a/tests/testthat/_snaps/assertions.md b/tests/testthat/_snaps/assertions.md new file mode 100644 index 0000000000..3ceed2f5ec --- /dev/null +++ b/tests/testthat/_snaps/assertions.md @@ -0,0 +1,447 @@ +# assert_filter_cond Test 3: `assert_filter_cond` works as expected + + Code + assert_filter_cond(arg = fc) + Condition + Error: + ! Argument `fc` must be a filter condition, but is a string + +# assert_data_frame Test 4: error if not a dataframe + + Code + example_fun(c(1, 2, 3)) + Condition + Error in `example_fun()`: + ! Argument `dataset` must be class , but is a double vector. + +# assert_data_frame Test 7: error if dataframe is grouped + + Code + example_fun(data) + Condition + Error in `example_fun()`: + ! Argument `dataset` must not be a grouped dataset, please `ungroup()` it. + +# assert_data_frame Test 8: error if an expected variable is missing + + Code + example_fun(data) + Condition + Error in `example_fun()`: + ! Required variable `USUBJID` is missing in `dataset` + +# assert_data_frame Test 9: error if expected variables are missing + + Code + example_fun(data) + Condition + Error in `example_fun()`: + ! Required variables `STUDYID` and `USUBJID` are missing in `dataset` + +# assert_character_scalar Test 15: error if `arg` not in values + + Code + check_unit("month") + Condition + Error in `check_unit()`: + ! Argument `duration_unit` must be equal to one of "years", "months", "weeks", "days", "hours", "minutes", or "seconds". + +--- + + Code + check_unit2("month") + Condition + Error in `check_unit2()`: + ! Argument `duration_unit` must be equal to one of "YEARS", "MONTHS", "WEEKS", "DAYS", "HOURS", "MINUTES", or "SECONDS". + +# assert_character_scalar Test 16: error if not character + + Code + example_fun2(2) + Condition + Error in `example_fun2()`: + ! Argument `msg_type` must be a scalar of class , but is a number. + +# assert_character_scalar Test 17: error if input is a vector + + Code + example_fun2(c("admiral", "admiralonco")) + Condition + Error in `example_fun2()`: + ! Argument `msg_type` must be a scalar of class , but is length 2 + +# assert_character_vector Test 18: error if `arg` not a character vector + + Code + assert_character_vector(arg) + Condition + Error: + ! Argument `arg` must be , but is a double vector. + +# assert_character_vector Test 19: error if `arg` is not in values + + Code + example_fun(character = c("oak", "mint")) + Condition + Error in `example_fun()`: + ! Argument `character` must be with values "test" and "oak". + +# assert_character_vector Test 20: arg_name correctly displayed in name check + + Code + example_fun(character = c(tree = "oak", "test")) + Condition + Error in `example_fun()`: + ! All elements of `character` argument must be named. + i The indices of the unnamed elements are 2 + +# assert_logical_scalar Test 22: error if `arg` is not TRUE or FALSE + + Code + example_fun("test") + Condition + Error in `example_fun()`: + ! Argument `arg` must be either TRUE or FALSE, but is a string. + +# assert_symbol Test 24: `assert_symbol` throws an error if `arg` is missing + + Code + example_fun(f()) + Condition + Error in `example_fun()`: + ! Argument `arg` must be a , but is missing. + +# assert_symbol Test 25: `assert_symbol` throws an error if `arg` is not a symbol + + Code + example_fun(f(NULL)) + Condition + Error in `example_fun()`: + ! Argument `arg` must be a , but is NULL. + +# assert_expr Test 29: `assert_expr` throws an error if `arg` is missing + + Code + assert_expr() + Condition + Error: + ! Argument `arg` cannot be missing. + +--- + + Code + example_fun() + Condition + Error in `example_fun()`: + ! Argument `data` cannot be missing. + +# assert_expr Test 30: `assert_expr` throws an error if `arg` is not an expression + + Code + var <- c(1, 2) + assert_expr(var) + Condition + Error: + ! Argument `var` must be an expression, but is a double vector + +# assert_vars Test 32: error if unexpected input + + Code + assert_vars(AVAL + 1) + Condition + Error: + ! Argument `AVAL + 1` must be a list of , e.g., `exprs(USUBJID, VISIT)`. + +--- + + Code + assert_vars(rlang::quos(USUBJID, PARAMCD)) + Condition + Error: + ! Each element of the list in argument `rlang::quos(USUBJID, PARAMCD)` must be class/type . + i But, element 1 is a object, and element 2 is a object + +--- + + Code + assert_vars(c("USUBJID", "PARAMCD", "VISIT")) + Condition + Error: + ! Argument `c("USUBJID", "PARAMCD", "VISIT")` must be class , but is a character vector. + +--- + + Code + assert_vars(exprs(USUBJID, AVAL + 2)) + Condition + Error: + ! Each element of the list in argument `exprs(USUBJID, AVAL + 2)` must be class/type . + i But, element 2 is a call + +--- + + Code + assert_vars(exprs(APERSDT = APxxSDT, APxxEDT), expect_names = TRUE) + Condition + Error: + ! All elements of `exprs(APERSDT = APxxSDT, APxxEDT)` argument must be named. + i The indices of the unnamed elements are 2 + +# assert_vars Test 33: error if some elements of `arg` are not unquoted variable names + + Code + example_fun(exprs(USUBJID, PARAMCD, NULL)) + Condition + Error in `example_fun()`: + ! Each element of the list in argument `arg` must be class/type . + i But, element 3 is NULL + +# assert_integer_scalar Test 35: error if chosen subset not in subsets + + Code + example_fun(1) + Condition + Error in `assert_integer_scalar()`: + ! Argument `subset` must be equal to one of "positive", "non-negative", "negative", or "none". + +# assert_integer_scalar Test 37: error if `arg` is not an integer scalar + + Code + example_fun(1.5) + Condition + Error in `example_fun()`: + ! Argument `arg` must be an integer scalar. + +# assert_numeric_vector Test 39: error if `arg` is not a numeric vector + + Code + example_fun(TRUE) + Condition + Error in `example_fun()`: + ! Argument `arg` must be a numeric vector, but it is `TRUE`. + +--- + + Code + example_fun(arg) + Condition + Error in `example_fun()`: + ! Argument `arg` must be a numeric vector, but it is NULL. + +--- + + Code + example_fun("1.5") + Condition + Error in `example_fun()`: + ! Argument `arg` must be a numeric vector, but it is a string. + +# assert_s3_class Test 40: error if `arg` is not an object of a specific class S3 + + Code + example_fun("test") + Condition + Error in `example_fun()`: + ! Argument `arg` must be class , but is a string. + +# assert_s3_class Test 42: error if `arg` is NULL and optional is FALSE + + Code + example_fun(NULL) + Condition + Error in `example_fun()`: + ! Argument `arg` must be class , but is NULL. + +# assert_list_of Test 44: error if `arg` is not a list of specific class S3 objects + + Code + example_fun(list("test")) + Condition + Error in `example_fun()`: + ! Each element of the list in argument `arg` must be class/type . + i But, element 1 is a string + +# assert_list_of Test 46: error if `arg` is NULL and optional is FALSE + + Code + example_fun(NULL) + Condition + Error in `example_fun()`: + ! Argument `arg` must be class , but is NULL. + +# assert_list_of Test 48: error if `arg` is not a named list (no elements named) + + Code + mylist <- list(1, 2, 3) + assert_list_of(mylist, cls = "numeric", named = TRUE) + Condition + Error: + ! All elements of `mylist` argument must be named. + i The indices of the unnamed elements are 1, 2, and 3 + +# assert_list_of Test 49: error if `arg` is not a named list (some elements named) + + Code + mylist <- list(1, 2, 3, d = 4) + assert_list_of(mylist, cls = "numeric", named = TRUE) + Condition + Error: + ! All elements of `mylist` argument must be named. + i The indices of the unnamed elements are 1, 2, and 3 + +# assert_named Test 52: error if no elements are named + + Code + arg <- c(1, 2) + assert_named(arg) + Condition + Error: + ! All elements of `arg` argument must be named. + i The indices of the unnamed elements are 1 and 2 + +# assert_function Test 56: error if `arg` is not a function + + Code + example_fun(5) + Condition + Error in `example_fun()`: + ! Argument `arg` must be a function, but is a number. + +# assert_function Test 59: error if `params` is missing with no default + + Code + example_fun(sum) + Condition + Error in `example_fun()`: + ! "x" is not an argument of the function specified for `arg`. + +--- + + Code + example_fun(sum) + Condition + Error in `example_fun()`: + ! "x" and "y" are not arguments of the function specified for `arg`. + +# assert_unit Test 64: error if there are multiple units in the input dataset + + Code + assert_unit(advs, param = "WEIGHT", required_unit = "kg", get_unit_expr = VSSTRESU) + Condition + Error: + ! Multiple units "kg" and "lb" found for "WEIGHT". Please review and update the units. + +# assert_unit Test 65: error if unexpected unit in the input dataset + + Code + assert_unit(advs, param = "WEIGHT", required_unit = "lb", get_unit_expr = VSSTRESU) + Condition + Error: + ! It is expected that "WEIGHT" has unit of "lb". In the input dataset the unit is "kg". + +# assert_param_does_not_exist Test 66: error if parameter exists in the input dataset + + Code + assert_param_does_not_exist(advs, param = "WEIGHT") + Condition + Error: + ! The parameter code "WEIGHT" already exists in dataset `advs`. + +# assert_varval_list Test 68: error if `arg` is not a list of var-value expressions + + Code + example_fun(c("USUBJID", "PARAMCD", "VISIT")) + Condition + Error in `example_fun()`: + ! Argument `arg` must be a named list of expressions where each element is a symbol, character scalar, numeric scalar, an expression, or NA, but is a character vector. + i To create a list of expressions use `exprs()`. + +# assert_varval_list Test 69: error if `arg` is not a list of var-value expressions + + Code + example_fun(exprs(USUBJID, PARAMCD, NULL)) + Condition + Error in `example_fun()`: + ! Argument `arg` must be a list of expressions where each element is a symbol, character scalar, numeric scalar, an expression, or NA, but is a list. + i To create a list of expressions use `exprs()`. + +# assert_varval_list Test 70: error if `required_elements` are missing from `arg` + + Code + example_fun(exprs(DTHSEQ = AESEQ)) + Condition + Error in `example_fun()`: + ! The following required elements are missing from argument `arg`: "DTHDOM". + +# assert_varval_list Test 72: error if `accept_expr` is TRUE and value is invalid + + Code + example_fun(exprs(DTHSEQ = TRUE)) + Condition + Error in `example_fun()`: + ! The elements of the list in argument `arg` must be a symbol, character scalar, numeric scalar, an expression, or NA. + i "DTHSEQ" = `TRUE` is of type + +# assert_varval_list Test 73: error if `accept_expr` is FALSE and value is invalid + + Code + example_fun(exprs(DTHSEQ = exprs())) + Condition + Error in `example_fun()`: + ! The elements of the list in argument `arg` must be a symbol, character scalar, numeric scalar, or NA. + i "DTHSEQ" = `exprs()` is of type + +# assert_list_element Test 82: error if the elements do not fulfill the condition + + Code + assert_list_element(list(list(var = expr(DTHDT), val = 1), list(var = expr( + EOSDT), val = -1), list(var = expr(EOSDT), val = -2)), element = "val", + condition = val >= 0, message_text = "List element {.val val} must be `>=0` in argument {.arg {arg_name}}:", + arg_name = "input") + Condition + Error: + ! List element "val" must be `>=0` in argument `input`: + i But, `input[[2]]$val = -1`, and `input[[3]]$val = -2` + +# assert_one_to_one Test 83: error if there is a one to many mapping + + Code + assert_one_to_one(dm, exprs(DOMAIN), exprs(USUBJID)) + Condition + Error: + ! For some values of "DOMAIN" there is more than one value of "USUBJID" + i Call `admiral::get_one_to_many_dataset()` to get all one-to-many values. + +# assert_date_var Test 86: error if variable is not a date or datetime variable + + Code + example_fun(dataset = my_data, var = USUBJID) + Condition + Error in `example_fun()`: + ! Column "USUBJID" in dataset `dataset` must be a date or datetime, but is a character vector. + +# assert_date_vector Test 90: error if `arg` is NULL and optional is FALSE + + Code + example_fun(NULL) + Condition + Error in `example_fun()`: + ! Argument `arg` must be a date or datetime, but is NULL. + +# assert_atomic_vector Test 91: error if input is not atomic vector + + Code + assert_atomic_vector(x) + Condition + Error: + ! Argument `x` must be an atomic vector, but is a list. + +# assert_same_type Test 93: error if different type + + Code + assert_same_type(true_value, false_value, missing_value) + Condition + Error: + ! Arguments `true_value`, `false_value`, and `missing_value` must be the same type. + i Argument types are `true_value` , `false_value` , `missing_value` + diff --git a/tests/testthat/_snaps/derive_extreme_event.md b/tests/testthat/_snaps/derive_extreme_event.md index a75bf9cb78..428cf2e467 100644 --- a/tests/testthat/_snaps/derive_extreme_event.md +++ b/tests/testthat/_snaps/derive_extreme_event.md @@ -1,9 +1,9 @@ # derive_extreme_event Test 8: error if source dataset not available Code - derive_extreme_event(adhy, by_vars = exprs(USUBJID), events = list(event( - dataset_name = "adyh", condition = is.na(CRIT1FL), set_values_to = exprs( - AVALC = "N")), event(condition = CRIT1FL == "Y", mode = "last", + derive_extreme_event(adhy, by_vars = get_admiral_option("subject_keys"), + events = list(event(dataset_name = "adyh", condition = is.na(CRIT1FL), + set_values_to = exprs(AVALC = "N")), event(condition = CRIT1FL == "Y", mode = "last", set_values_to = exprs(AVALC = "Y"))), source_datasets = list(adhy = adhy), tmp_event_nr_var = event_nr, order = exprs(event_nr, AVISITN), mode = "first", keep_source_vars = exprs(AVISITN), set_values_to = exprs(PARAMCD = "ALK2", diff --git a/tests/testthat/_snaps/process_set_values_to.md b/tests/testthat/_snaps/process_set_values_to.md new file mode 100644 index 0000000000..7b9531884f --- /dev/null +++ b/tests/testthat/_snaps/process_set_values_to.md @@ -0,0 +1,24 @@ +# process_set_values_to Test 2: catch error + + Code + process_set_values_to(bds, set_values_to = exprs(PARAMCD = BMI, PARAM = "Body-Mass-Index", + PARAMN = 1)) + Condition + Error in `process_set_values_to()`: + ! Assigning variables failed! + * `set_values_to = exprs(PARAMCD = BMI, PARAM = Body-Mass-Index, PARAMN = 1)` + See error message below: + i In argument: `PARAMCD = BMI`. Caused by error: ! object 'BMI' not found + +# process_set_values_to Test 3: check types + + Code + process_set_values_to(bds, set_values_to = exprs(PARAMCD = 1, PARAM = "Body-Mass-Index", + PARAMN = "BMI"), expected_types = c(PARAMCD = "character", PARAM = "character", + PARAMN = "numeric")) + Condition + Error in `process_set_values_to()`: + ! The following variables have an unexpected type: + * PARAMCD: expected is , but it is . + * PARAMN: expected is , but it is . + diff --git a/tests/testthat/_snaps/tmp_vars.md b/tests/testthat/_snaps/tmp_vars.md new file mode 100644 index 0000000000..ace29d1eb8 --- /dev/null +++ b/tests/testthat/_snaps/tmp_vars.md @@ -0,0 +1,8 @@ +# get_new_tmp_var Test 2: errors if name does not start with tmp + + Code + get_new_tmp_var(dm, prefix = "my_var") + Condition + Error in `get_new_tmp_var()`: + ! `prefix` must start with "tmp_". + diff --git a/tests/testthat/_snaps/warnings.md b/tests/testthat/_snaps/warnings.md new file mode 100644 index 0000000000..db57d56db8 --- /dev/null +++ b/tests/testthat/_snaps/warnings.md @@ -0,0 +1,34 @@ +# warn_if_vars_exist Test 1: warning if a variable already exists in the input dataset + + Code + warn_if_vars_exist(dm, "AGE") + Condition + Warning: + Variable "AGE" already exists in the dataset. + +--- + + Code + warn_if_vars_exist(dm, c("AGE", "AGEU", "ARM")) + Condition + Warning: + Variables "AGE", "AGEU", and "ARM" already exist in the dataset. + +--- + + Code + warn_if_vars_exist(dm, c("AAGE", "AGEU", "ARM")) + Condition + Warning: + Variables "AGEU" and "ARM" already exist in the dataset. + +# warn_if_invalid_dtc Test 2: Warning if vector contains unknown datetime format + + Code + warn_if_invalid_dtc(dtc = "20210406T12:30:30") + Condition + Warning: + Dataset contains incorrect datetime format: --DTC may be incorrectly imputed on row(s) + * Row 1 : --DTC = 20210406T12:30:30 + * ISO representations of the form YYYY-MM-DDThh:mm:ss.ddd are expected, e.g., 2003-12-15T13:15:17.123. Missing parts at the end can be omitted. Missing parts in the middle must be represented by a dash, e.g., 2003---15. + diff --git a/tests/testthat/test-addin_format_testthat.R b/tests/testthat/test-addin_format_testthat.R new file mode 100644 index 0000000000..f9e1049844 --- /dev/null +++ b/tests/testthat/test-addin_format_testthat.R @@ -0,0 +1,49 @@ +## Test 1: works as expected ---- +test_that("addin_format_testthat Test 1: works as expected", { + # test: file exists + expect_error( + prepare_test_that_file("file_does_not_exist"), + "Invalid file path, the file does not exist." + ) + + # test: correct file is used + tf <- tempfile() + writeLines("Hello", tf) + expect_error( + prepare_test_that_file(tf), + "This Addin works only on unit test files that follow a testthat structure" + ) + + # test: test_that not found + dir.create(file.path(tempdir(), "tests", "testthat"), recursive = TRUE) + tf <- tempfile(pattern = "tests/testthat/test-") + writeLines("Hello", tf) + expect_null(prepare_test_that_file(tf)) + + # test: headers and descriptions works as expected on dummy file + tf <- tempfile(pattern = "tests/testthat/test-") + writeLines( + c( + "# some stuff in comment", + 'test_that("my description", {', + " expect_true(TRUE)", + "}" + ), + tf + ) + expected <- list( + file_content = c( + "# some stuff in comment", + paste0( + "## Test 1: my description ----" + ), + paste0( + 'test_that("', sub("test-", "", basename(tf)), " ", + 'Test 1: my description", {' + ), + " expect_true(TRUE)", + "}" + ) + ) + expect_identical(prepare_test_that_file(tf), expected) +}) diff --git a/tests/testthat/test-assertions.R b/tests/testthat/test-assertions.R new file mode 100644 index 0000000000..224f005361 --- /dev/null +++ b/tests/testthat/test-assertions.R @@ -0,0 +1,1562 @@ +# assert_has_variables ---- +## Test 1: error if a required variable is missing (deprecation error) ---- +test_that("assert_has_variables Test 1: error if a required variable is missing (deprecation error)", { # nolint + data <- dplyr::tribble( + ~USUBJID, + "1" + ) + + dm <- dplyr::tribble( + ~DOMAIN, ~USUBJID, + "DM", "01-701-1015", + "DM", "01-701-1016", + "DM", "01-701-1023", + "DM", "01-701-1024", + ) + + expect_error( + assert_has_variables(data, "TRT01P"), + class = "lifecycle_error_deprecated" + ) + + expect_error( + assert_has_variables(dm, c("TRT01P", "AVAL")), + class = "lifecycle_error_deprecated" + ) +}) + +## Test 2: no error if a required variable exists (deprecation error) ---- +test_that("assert_has_variables Test 2: no error if a required variable exists (deprecation error)", { # nolint + data <- dplyr::tribble( + ~USUBJID, + "1" + ) + + expect_error( + assert_has_variables(data, "USUBJID"), + class = "lifecycle_error_deprecated" + ) +}) + +# assert_filter_cond ---- +## Test 3: `assert_filter_cond` works as expected ---- +test_that("assert_filter_cond Test 3: `assert_filter_cond` works as expected", { + fc <- expr(AGE == 64) + expect_identical( + assert_filter_cond(fc), + fc + ) + + expect_identical( + assert_filter_cond(arg = fc, optional = TRUE), + fc + ) + + fc <- expr("string") + expect_error( + assert_filter_cond(arg = fc), + class = "assert_filter_cond" + ) + expect_snapshot( + assert_filter_cond(arg = fc), + error = TRUE + ) + + vals <- c("A", "B") + fc <- expr(VAR %in% !!vals) + expect_identical( + assert_filter_cond(arg = fc), + fc + ) +}) + +# assert_data_frame ---- +## Test 4: error if not a dataframe ---- +test_that("assert_data_frame Test 4: error if not a dataframe", { + example_fun <- function(dataset) { + assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) + } + expect_error( + example_fun(c(1, 2, 3)), + class = "assert_data_frame" + ) + expect_snapshot( + example_fun(c(1, 2, 3)), + error = TRUE + ) +}) + +## Test 5: assert_data_frame extract_vars() works as intended ---- +test_that("assert_data_frame Test 5: assert_data_frame extract_vars() works as intended", { + input <- dplyr::tribble( + ~STUDYID, ~USUBJID, ~SEQ, + "A", "1", 1, + "A", "2", 2, + "A", "3", 3, + ) + + example_fun <- function(dataset, order) { + assert_data_frame(dataset, required_vars = expr_c( + exprs(STUDYID, USUBJID), + extract_vars(order) + )) + } + + expect_invisible(example_fun(input, order = exprs(SEQ))) +}) + +## Test 6: assert_data_frame works if extract_vars() has NULL input ---- +test_that("assert_data_frame Test 6: assert_data_frame works if extract_vars() has NULL input", { + input <- dplyr::tribble( + ~STUDYID, ~USUBJID, ~SEQ, + "A", "1", 1, + "A", "2", 2, + "A", "3", 3, + ) + + example_fun <- function(dataset, order = NULL) { + assert_data_frame(dataset, required_vars = expr_c( + exprs(STUDYID, USUBJID), + extract_vars(order) + )) + } + + expect_invisible(example_fun(input)) +}) + +## Test 7: error if dataframe is grouped ---- +test_that("assert_data_frame Test 7: error if dataframe is grouped", { + example_fun <- function(dataset) { + assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) + } + + data <- dplyr::tribble( + ~STUDYID, ~USUBJID, ~ARMCD, + "xyz", "1", "PLACEBO", + "xyz", "2", "ACTIVE" + ) %>% group_by(ARMCD) + + expect_error( + example_fun(data), + class = "assert_data_frame" + ) + + expect_snapshot( + example_fun(data), + error = TRUE + ) +}) + +## Test 8: error if an expected variable is missing ---- +test_that("assert_data_frame Test 8: error if an expected variable is missing", { + example_fun <- function(dataset) { + assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) + } + + data <- dplyr::tribble( + ~STUDYID, ~ARMCD, + "xyz", "PLACEBO", + "xyz", "ACTIVE" + ) + expect_error( + example_fun(data), + class = "assert_data_frame" + ) + + expect_snapshot( + example_fun(data), + error = TRUE + ) +}) + +## Test 9: error if expected variables are missing ---- +test_that("assert_data_frame Test 9: error if expected variables are missing", { + example_fun <- function(dataset) { + assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) + } + + data <- dplyr::tribble( + ~ARMCD, + "PLACEBO", + "ACTIVE" + ) + expect_error( + example_fun(data), + class = "assert_data_frame" + ) + + expect_snapshot( + example_fun(data), + error = TRUE + ) +}) + +## Test 10: no error if optional is TRUE and `arg` is NULL ---- +test_that("assert_data_frame Test 10: no error if optional is TRUE and `arg` is NULL", { + example_fun <- function(dataset) { + assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID), optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 11: error if required variables are missing ---- +test_that("assert_data_frame Test 11: error if required variables are missing", { + example_fun <- function(dataset) { + assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) + } + + admiral_dm <- dplyr::tribble( + ~USUBJID2, + "01-701-1015", + "01-701-1016", + ) + + expect_error( + example_fun(admiral_dm) + ) +}) + +## Test 12: error if required variable is missing ---- +test_that("assert_data_frame Test 12: error if required variable is missing", { + example_fun <- function(dataset) { + assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) + } + + admiral_dm <- dplyr::tribble( + ~USUBJID, + "01-701-1015", + "01-701-1016", + ) + + expect_error( + example_fun(admiral_dm) + ) +}) + +# assert_character_scalar ---- +## Test 13: no error if optional is TRUE and `arg` is NULL ---- +test_that("assert_character_scalar Test 13: no error if optional is TRUE and `arg` is NULL", { + example_fun <- function(character) { + assert_character_scalar(character, optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 14: no error, case_sensitive = FALSE ---- +test_that("assert_character_scalar Test 14: no error, case_sensitive = FALSE", { + example_fun <- function(character) { + assert_character_scalar(character, values = c("test"), case_sensitive = FALSE) + } + + out <- expect_invisible(example_fun(character = "TEST")) + expect_equal(out, "test") + + check_unit <- function(duration_unit) { + assert_character_scalar( + duration_unit, + values = c("years", "months", "weeks", "days", "hours", "minutes", "seconds"), + case_sensitive = FALSE + ) + } + + out <- expect_invisible(check_unit("months")) + expect_equal(out, "months") + + out <- expect_invisible(check_unit("MONTHS")) + expect_equal(out, "months") + + check_unit2 <- function(duration_unit) { + assert_character_scalar( + duration_unit, + values = c("YEARS", "MONTHS", "WEEKS", "DAYS", "HOURS", "MINUTES", "SECONDS"), + case_sensitive = FALSE + ) + } + + out <- expect_invisible(check_unit2("months")) + expect_equal(out, "months") + + out <- expect_invisible(check_unit2("MONTHS")) + expect_equal(out, "months") +}) + +## Test 15: error if `arg` not in values ---- +test_that("assert_character_scalar Test 15: error if `arg` not in values", { + check_unit <- function(duration_unit) { + assert_character_scalar( + duration_unit, + values = c("years", "months", "weeks", "days", "hours", "minutes", "seconds"), + case_sensitive = FALSE + ) + } + + expect_error( + check_unit("month"), + class = "assert_character_scalar" + ) + expect_snapshot(check_unit("month"), error = TRUE) + + + check_unit2 <- function(duration_unit) { + assert_character_scalar( + duration_unit, + values = c("YEARS", "MONTHS", "WEEKS", "DAYS", "HOURS", "MINUTES", "SECONDS"), + case_sensitive = FALSE + ) + } + + expect_error( + check_unit2("month"), + class = "assert_character_scalar" + ) + expect_snapshot(check_unit2("month"), error = TRUE) +}) + +## Test 16: error if not character ---- +test_that("assert_character_scalar Test 16: error if not character", { + example_fun2 <- function(msg_type) { + msg_type <- assert_character_scalar(msg_type, + values = c("warning", "error"), case_sensitive = FALSE + ) + + if (msg_type == "warning") { + print("A warning was requested.") + } + } + expect_error( + example_fun2(2), + class = "assert_character_scalar" + ) + + expect_snapshot( + example_fun2(2), + error = TRUE + ) +}) + +## Test 17: error if input is a vector ---- +test_that("assert_character_scalar Test 17: error if input is a vector", { + example_fun2 <- function(msg_type) { + msg_type <- assert_character_scalar(msg_type, + values = c("warning", "error"), case_sensitive = FALSE + ) + + if (msg_type == "warning") { + print("A warning was requested.") + } + } + expect_error( + example_fun2(c("admiral", "admiralonco")), + class = "assert_character_scalar" + ) + + expect_snapshot( + example_fun2(c("admiral", "admiralonco")), + error = TRUE + ) +}) + +# assert_character_vector ---- +## Test 18: error if `arg` not a character vector ---- +test_that("assert_character_vector Test 18: error if `arg` not a character vector", { + arg <- c(1, 2, 3) + + expect_error( + assert_character_vector(arg), + class = "assert_character_vector" + ) + + expect_snapshot( + error = TRUE, + assert_character_vector(arg) + ) +}) + +## Test 19: error if `arg` is not in values ---- +test_that("assert_character_vector Test 19: error if `arg` is not in values", { + example_fun <- function(character) { + assert_character_vector(character, values = c("test", "oak")) + } + + expect_error( + example_fun(character = c("oak", "mint")), + class = "assert_character_vector" + ) + expect_snapshot( + example_fun(character = c("oak", "mint")), + error = TRUE + ) +}) + +## Test 20: arg_name correctly displayed in name check ---- +test_that("assert_character_vector Test 20: arg_name correctly displayed in name check", { + example_fun <- function(character) { + assert_character_vector(character, values = c("test", "oak"), named = TRUE) + } + + expect_error( + example_fun(character = c(tree = "oak", "test")), + class = "assert_character_vector" + ) + expect_snapshot( + example_fun(character = c(tree = "oak", "test")), + error = TRUE + ) +}) + +# assert_logical_scalar ---- +## Test 21: no error if optional is TRUE and `arg` is NULL ---- +test_that("assert_logical_scalar Test 21: no error if optional is TRUE and `arg` is NULL", { + example_fun <- function(arg) { + assert_logical_scalar(arg, optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 22: error if `arg` is not TRUE or FALSE ---- +test_that("assert_logical_scalar Test 22: error if `arg` is not TRUE or FALSE", { + example_fun <- function(arg) { + assert_logical_scalar(arg) + } + arg <- c() + expect_error(example_fun(NA), class = "assert_logical_scalar") + expect_error(example_fun(arg), class = "assert_logical_scalar") + expect_error(example_fun("test"), class = "assert_logical_scalar") + expect_snapshot( + error = TRUE, + example_fun("test") + ) +}) + +# assert_symbol ---- +## Test 23: no error if optional = TRUE and `arg` = NULL ---- +test_that("assert_symbol Test 23: no error if optional = TRUE and `arg` = NULL", { + f <- function(var) { + v <- enexpr(var) + } + + example_fun <- function(arg) { + assert_symbol(arg, optional = TRUE) + } + + expect_invisible( + example_fun( + f(NULL) + ) + ) +}) + +## Test 24: `assert_symbol` throws an error if `arg` is missing ---- +test_that("assert_symbol Test 24: `assert_symbol` throws an error if `arg` is missing", { + f <- function(var) { + v <- enexpr(var) + } + + example_fun <- function(arg) { + assert_symbol(arg) + } + + expect_error( + example_fun(f()), + class = "assert_symbol" + ) + expect_snapshot(example_fun(f()), error = TRUE) +}) + +## Test 25: `assert_symbol` throws an error if `arg` is not a symbol ---- +test_that("assert_symbol Test 25: `assert_symbol` throws an error if `arg` is not a symbol", { + f <- function(var) { + v <- enexpr(var) + } + + example_fun <- function(arg) { + assert_symbol(arg) + } + + expect_error( + example_fun(f(NULL)), + class = "assert_symbol" + ) + expect_snapshot(example_fun(f(NULL)), error = TRUE) +}) + +## Test 26: `assert_symbol` does not throw an error if `arg` is a symbol ---- +test_that("assert_symbol Test 26: `assert_symbol` does not throw an error if `arg` is a symbol", { + f <- function(var) { + v <- enexpr(var) + } + + admiral_dm <- dplyr::tribble( + ~DOMAIN, ~USUBJID, + "DM", "01-701-1015", + "DM", "01-701-1016", + ) + + example_fun <- function(arg) { + assert_symbol(arg) + } + + expect_invisible( + example_fun( + f(admiral_dm) + ) + ) +}) + +# assert_expr ---- +## Test 27: `assert_expr` does not throw an error if `arg` is an expression ---- +test_that("assert_expr Test 27: `assert_expr` does not throw an error if `arg` is an expression", { + dm <- dplyr::tribble( + ~DOMAIN, ~USUBJID, + "DM", "01-701-1015", + "DM", "01-701-1016", + ) + + expect_invisible( + assert_expr(var <- expr(dm)) + ) +}) + +## Test 28: no error if optional is TRUE and `arg` is NULL ---- +test_that("assert_expr Test 28: no error if optional is TRUE and `arg` is NULL", { + expect_invisible( + assert_expr(var <- NULL, optional = TRUE) + ) +}) + +## Test 29: `assert_expr` throws an error if `arg` is missing ---- +test_that("assert_expr Test 29: `assert_expr` throws an error if `arg` is missing", { + expect_error( + assert_expr(), + class = "assert_expr" + ) + + expect_snapshot( + assert_expr(), + error = TRUE + ) + + example_fun <- function(data) { + assert_expr(data) + } + expect_snapshot( + example_fun(), + error = TRUE + ) +}) + +## Test 30: `assert_expr` throws an error if `arg` is not an expression ---- +test_that("assert_expr Test 30: `assert_expr` throws an error if `arg` is not an expression", { + expect_error( + { + var <- c(1, 2) + assert_expr(var) + }, + class = "assert_expr" + ) + + expect_snapshot( + { + var <- c(1, 2) + assert_expr(var) + }, + error = TRUE + ) +}) + +# assert_vars ---- +## Test 31: no error if expected input ---- +test_that("assert_vars Test 31: no error if expected input", { + expect_invisible(assert_vars(exprs(USUBJID, PARAMCD))) + expect_invisible(assert_vars( + exprs(APERSDT = APxxSDT, APEREDT = APxxEDT), + expect_names = TRUE + )) +}) + +## Test 32: error if unexpected input ---- +test_that("assert_vars Test 32: error if unexpected input", { + expect_error( + assert_vars(AVAL + 1), + class = "assert_vars" + ) + + expect_snapshot( + assert_vars(AVAL + 1), + error = TRUE + ) + + expect_error( + assert_vars(rlang::quos(USUBJID, PARAMCD)), + class = "assert_vars" + ) + + expect_snapshot( + assert_vars(rlang::quos(USUBJID, PARAMCD)), + error = TRUE + ) + + expect_error( + assert_vars(c("USUBJID", "PARAMCD", "VISIT")), + class = "assert_vars" + ) + + expect_snapshot( + assert_vars(c("USUBJID", "PARAMCD", "VISIT")), + error = TRUE + ) + + expect_error( + assert_vars(exprs(USUBJID, AVAL + 2)), + class = "assert_vars" + ) + + expect_snapshot( + assert_vars(exprs(USUBJID, AVAL + 2)), + error = TRUE + ) + + expect_error( + assert_vars(exprs(APERSDT = APxxSDT, APxxEDT), expect_names = TRUE), + class = "assert_vars" + ) + + expect_snapshot( + assert_vars(exprs(APERSDT = APxxSDT, APxxEDT), expect_names = TRUE), + error = TRUE + ) +}) + +## Test 33: error if some elements of `arg` are not unquoted variable names ---- +test_that("assert_vars Test 33: error if some elements of `arg` are not unquoted variable names", { + example_fun <- function(arg) { + assert_vars(arg) + } + + expect_error( + example_fun(exprs(USUBJID, PARAMCD, NULL)), + class = "assert_vars" + ) + + expect_snapshot( + example_fun(exprs(USUBJID, PARAMCD, NULL)), + error = TRUE + ) +}) + +# assert_integer_scalar ---- +## Test 34: no error if `arg` is NULL and optional is TRUE ---- +test_that("assert_integer_scalar Test 34: no error if `arg` is NULL and optional is TRUE", { + example_fun <- function(arg) { + assert_integer_scalar(arg, optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 35: error if chosen subset not in subsets ---- +test_that("assert_integer_scalar Test 35: error if chosen subset not in subsets", { + example_fun <- function(arg) { + assert_integer_scalar(arg, subset = "infinity") + } + + expect_error( + example_fun(1), + class = "assert_character_scalar" + ) + + expect_snapshot( + example_fun(1), + error = TRUE + ) +}) + +## Test 36: no error if `arg` is in selected subset ---- +test_that("assert_integer_scalar Test 36: no error if `arg` is in selected subset", { + example_fun <- function(arg) { + assert_integer_scalar(arg, subset = "positive") + } + + expect_invisible( + example_fun(1) + ) +}) + +## Test 37: error if `arg` is not an integer scalar ---- +test_that("assert_integer_scalar Test 37: error if `arg` is not an integer scalar", { + example_fun <- function(arg) { + assert_integer_scalar(arg) + } + + arg <- c() + + expect_error( + example_fun(TRUE), + class = "assert_integer_scalar" + ) + expect_error( + example_fun(arg), + class = "assert_integer_scalar" + ) + expect_error( + example_fun(Inf), + class = "assert_integer_scalar" + ) + expect_error( + example_fun(1.5), + class = "assert_integer_scalar" + ) + + expect_snapshot( + example_fun(1.5), + error = TRUE + ) +}) + +# assert_numeric_vector ---- +## Test 38: no error if `arg` is NULL and optional is TRUE ---- +test_that("assert_numeric_vector Test 38: no error if `arg` is NULL and optional is TRUE", { + example_fun <- function(arg) { + assert_numeric_vector(arg, optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 39: error if `arg` is not a numeric vector ---- +test_that("assert_numeric_vector Test 39: error if `arg` is not a numeric vector", { + example_fun <- function(arg) { + assert_numeric_vector(arg) + } + + arg <- c() + + expect_error( + example_fun(TRUE), + class = "assert_numeric_vector" + ) + expect_snapshot( + example_fun(TRUE), + error = TRUE + ) + + expect_error( + example_fun(arg), + class = "assert_numeric_vector" + ) + expect_snapshot( + example_fun(arg), + error = TRUE + ) + + expect_error( + example_fun("1.5"), + class = "assert_numeric_vector" + ) + expect_snapshot( + example_fun("1.5"), + error = TRUE + ) +}) + +# assert_s3_class ---- +## Test 40: error if `arg` is not an object of a specific class S3 ---- +test_that("assert_s3_class Test 40: error if `arg` is not an object of a specific class S3", { + example_fun <- function(arg) { + assert_s3_class(arg, "factor") + } + + expect_error( + example_fun("test"), + class = "assert_s3_class" + ) + expect_snapshot( + example_fun("test"), + error = TRUE + ) +}) + +## Test 41: no error if `arg` is NULL and optional is TRUE ---- +test_that("assert_s3_class Test 41: no error if `arg` is NULL and optional is TRUE", { + example_fun <- function(arg) { + assert_s3_class(arg, cls = "factor", optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 42: error if `arg` is NULL and optional is FALSE ---- +test_that("assert_s3_class Test 42: error if `arg` is NULL and optional is FALSE", { + example_fun <- function(arg) { + assert_s3_class(arg, cls = "factor", optional = FALSE) + } + + expect_error( + example_fun(NULL), + class = "assert_s3_class" + ) + expect_snapshot(example_fun(NULL), error = TRUE) +}) + +## Test 43: no error if `arg` is an object of a specific class S3 ---- +test_that("assert_s3_class Test 43: no error if `arg` is an object of a specific class S3", { + example_fun <- function(arg) { + assert_s3_class(arg, "factor") + } + + expect_invisible(example_fun(as.factor("test"))) +}) + +# assert_list_of ---- +## Test 44: error if `arg` is not a list of specific class S3 objects ---- +test_that("assert_list_of Test 44: error if `arg` is not a list of specific class S3 objects", { + example_fun <- function(arg) { + assert_list_of(arg, "factor") + } + + expect_error( + example_fun(list("test")), + class = "assert_list_of" + ) + expect_snapshot( + example_fun(list("test")), + error = TRUE + ) +}) + +## Test 45: no error if `arg` is NULL and optional is TRUE ---- +test_that("assert_list_of Test 45: no error if `arg` is NULL and optional is TRUE", { + example_fun <- function(arg) { + assert_list_of(arg, cls = "factor", optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 46: error if `arg` is NULL and optional is FALSE ---- +test_that("assert_list_of Test 46: error if `arg` is NULL and optional is FALSE", { + example_fun <- function(arg) { + assert_list_of(arg, cls = "factor", optional = FALSE) + } + + expect_error( + example_fun(NULL), + class = "assert_list_of" + ) + expect_snapshot(example_fun(NULL), error = TRUE) +}) + +## Test 47: no error if `arg` is a list of specific class S3 objects ---- +test_that("assert_list_of Test 47: no error if `arg` is a list of specific class S3 objects", { + example_fun <- function(arg) { + assert_list_of(arg, "factor") + } + + expect_invisible( + example_fun( + list(as.factor("test"), as.factor(1)) + ) + ) +}) + +## Test 48: error if `arg` is not a named list (no elements named) ---- +test_that("assert_list_of Test 48: error if `arg` is not a named list (no elements named)", { + expect_error( + { + mylist <- list(1, 2, 3) + assert_list_of(mylist, cls = "numeric", named = TRUE) + }, + class = "assert_list_of" + ) + expect_snapshot( + { + mylist <- list(1, 2, 3) + assert_list_of(mylist, cls = "numeric", named = TRUE) + }, + error = TRUE + ) +}) + +## Test 49: error if `arg` is not a named list (some elements named) ---- +test_that("assert_list_of Test 49: error if `arg` is not a named list (some elements named)", { + expect_error( + { + mylist <- list(1, 2, 3, d = 4) + assert_list_of(mylist, cls = "numeric", named = TRUE) + }, + class = "assert_list_of" + ) + expect_snapshot( + { + mylist <- list(1, 2, 3, d = 4) + assert_list_of(mylist, cls = "numeric", named = TRUE) + }, + error = TRUE + ) +}) + +## Test 50: no error if `arg` is a named list ---- +test_that("assert_list_of Test 50: no error if `arg` is a named list", { + expect_invisible( + assert_list_of(mylist <- list(a = 1, b = 2, c = 3), cls = "numeric", named = TRUE) + ) +}) + +# assert_named ---- +## Test 51: no error if arg is NULL and optional = TRUE ---- +test_that("assert_named Test 51: no error if arg is NULL and optional = TRUE", { + expect_invisible(assert_named(arg <- NULL, optional = TRUE)) +}) + +## Test 52: error if no elements are named ---- +test_that("assert_named Test 52: error if no elements are named", { + expect_error( + { + arg <- c(1, 2) + assert_named(arg) + }, + class = "assert_named" + ) + + expect_snapshot( + { + arg <- c(1, 2) + assert_named(arg) + }, + error = TRUE + ) +}) + +# assert_named_exprs ---- +## Test 53: error if `arg` is not a named list of expressions (deprecation error) ---- +test_that("assert_named_exprs Test 53: error if `arg` is not a named list of expressions (deprecation error)", { # nolint + example_fun <- function(arg) { + assert_named_exprs(arg) + } + + arg <- list("test") + names(arg) <- c("") + + expect_error( + example_fun(5), + class = "lifecycle_error_deprecated" + ) + dm <- dplyr::tribble( + ~DOMAIN, ~USUBJID, + "DM", "01-701-1015", + "DM", "01-701-1016", + ) + expect_error( + example_fun(dm), + class = "lifecycle_error_deprecated" + ) + expect_error( + example_fun(list(1, 2, TRUE)), + class = "lifecycle_error_deprecated" + ) + expect_error( + example_fun(arg), + class = "lifecycle_error_deprecated" + ) +}) + +## Test 54: no error if `arg` is NULL and optional is TRUE (deprecation error) ---- +test_that("assert_named_exprs Test 54: no error if `arg` is NULL and optional is TRUE (deprecation error)", { # nolint + example_fun <- function(arg) { + assert_named_exprs(arg, optional = TRUE) + } + + expect_error( + example_fun(NULL), + class = "lifecycle_error_deprecated" + ) +}) + +## Test 55: no error if `arg` is a named list of expressions (deprecation error) ---- +test_that("assert_named_exprs Test 55: no error if `arg` is a named list of expressions (deprecation error)", { # nolint + example_fun <- function(arg) { + assert_named_exprs(arg) + } + + expect_error( + example_fun(rlang::exprs()), + class = "lifecycle_error_deprecated" + ) +}) + +# assert_function ---- +## Test 56: error if `arg` is not a function ---- +test_that("assert_function Test 56: error if `arg` is not a function", { + example_fun <- function(arg) { + assert_function(arg) + } + + expect_error(example_fun(5), class = "assert_function") + expect_snapshot( + example_fun(5), + error = TRUE + ) + expect_error(example_fun(), class = "assert_function") +}) + +## Test 57: no error if `arg` is NULL and optional is TRUE ---- +test_that("assert_function Test 57: no error if `arg` is NULL and optional is TRUE", { + example_fun <- function(arg) { + assert_function(arg, optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 58: no error if `arg` is a function with all parameters defined ---- +test_that("assert_function Test 58: no error if `arg` is a function with all parameters defined", { + example_fun <- function(arg) { + assert_function(arg, params = c("x")) + } + + expect_invisible(example_fun(mean)) +}) + +## Test 59: error if `params` is missing with no default ---- +test_that("assert_function Test 59: error if `params` is missing with no default", { + example_fun <- function(arg) { + assert_function(arg, params = c("x")) + } + + expect_error( + example_fun(sum), + class = "assert_function" + ) + expect_snapshot( + example_fun(sum), + error = TRUE + ) + + example_fun <- function(arg) { + assert_function(arg, params = c("x", "y")) + } + + expect_error( + example_fun(sum), + class = "assert_function" + ) + expect_snapshot( + example_fun(sum), + error = TRUE + ) +}) + +## Test 60: If dot-dot-dot is a argument ---- +test_that("assert_function Test 60: If dot-dot-dot is a argument", { + example_fun <- function(derivation, args = NULL) { + assert_function(derivation, names(args)) + } + expect_invisible(example_fun(mutate, args = exprs(AVAL = x + 1))) +}) + + + +# assert_function_param ---- +## Test 61: no error if `arg` is a parameter of a function (deprecation error) ---- +test_that("assert_function_param Test 61: no error if `arg` is a parameter of a function (deprecation error)", { # nolint + hello <- function(name) { + print(sprintf("Hello %s", name)) + } + + expect_error( + assert_function_param("hello", params = "name"), + class = "lifecycle_error_deprecated" + ) +}) + +## Test 62: error if expected function parameters are missing (deprecation error) ---- +test_that("assert_function_param Test 62: error if expected function parameters are missing (deprecation error)", { # nolint + hello <- function(name) { + print(sprintf("Hello %s", name)) + } + + expect_error( + assert_function_param("hello", "surname"), + class = "lifecycle_error_deprecated" + ) + + expect_error( + assert_function_param("hello", params = c("surname", "firstname")), + class = "lifecycle_error_deprecated" + ) +}) + +# assert_unit ---- +## Test 63: no error if the parameter is provided in the expected unit ---- +test_that("assert_unit Test 63: no error if the parameter is provided in the expected unit", { + advs <- dplyr::tribble( + ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, + "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, + "P02", "WEIGHT", 85.7, "kg", "WEIGHT", 85.7 + ) + + expect_invisible( + assert_unit(advs, param = "WEIGHT", required_unit = "kg", get_unit_expr = VSSTRESU) + ) +}) + +## Test 64: error if there are multiple units in the input dataset ---- +test_that("assert_unit Test 64: error if there are multiple units in the input dataset", { + advs <- dplyr::tribble( + ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, + "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, + "P02", "WEIGHT", 85.7, "lb", "WEIGHT", 85.7 + ) + + expect_error( + assert_unit(advs, param = "WEIGHT", required_unit = "kg", get_unit_expr = VSSTRESU), + class = "assert_unit" + ) + expect_snapshot( + assert_unit(advs, param = "WEIGHT", required_unit = "kg", get_unit_expr = VSSTRESU), + error = TRUE + ) +}) + +## Test 65: error if unexpected unit in the input dataset ---- +test_that("assert_unit Test 65: error if unexpected unit in the input dataset", { + advs <- dplyr::tribble( + ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, + "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, + "P02", "WEIGHT", 85.7, "kg", "WEIGHT", 85.7 + ) + + expect_error( + assert_unit(advs, param = "WEIGHT", required_unit = "lb", get_unit_expr = VSSTRESU), + class = "assert_unit" + ) + expect_snapshot( + assert_unit(advs, param = "WEIGHT", required_unit = "lb", get_unit_expr = VSSTRESU), + error = TRUE + ) +}) + +# assert_param_does_not_exist ---- +## Test 66: error if parameter exists in the input dataset ---- +test_that("assert_param_does_not_exist Test 66: error if parameter exists in the input dataset", { + advs <- dplyr::tribble( + ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, + "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, + "P02", "WEIGHT", 85.7, "kg", "WEIGHT", 85.7 + ) + + expect_error( + assert_param_does_not_exist(advs, param = "WEIGHT"), + class = "assert_param_does_not_exist" + ) + + expect_snapshot( + assert_param_does_not_exist(advs, param = "WEIGHT"), + error = TRUE + ) +}) + +## Test 67: no error if the parameter exists in the dataset ---- +test_that("assert_param_does_not_exist Test 67: no error if the parameter exists in the dataset", { + advs <- dplyr::tribble( + ~USUBJID, ~VSTESTCD, ~VSTRESN, ~VSSTRESU, ~PARAMCD, ~AVAL, + "P01", "WEIGHT", 80.1, "kg", "WEIGHT", 80.1, + "P02", "WEIGHT", 85.7, "kg", "WEIGHT", 85.7 + ) + + expect_invisible( + assert_param_does_not_exist(advs, param = "HR") + ) +}) + +# assert_varval_list ---- +## Test 68: error if `arg` is not a list of var-value expressions ---- +test_that("assert_varval_list Test 68: error if `arg` is not a list of var-value expressions", { + example_fun <- function(arg) { + assert_varval_list(arg, accept_var = FALSE) + } + + expect_error( + example_fun(c("USUBJID", "PARAMCD", "VISIT")), + class = "assert_varval_list" + ) + expect_snapshot( + example_fun(c("USUBJID", "PARAMCD", "VISIT")), + error = TRUE + ) +}) + +## Test 69: error if `arg` is not a list of var-value expressions ---- +test_that("assert_varval_list Test 69: error if `arg` is not a list of var-value expressions", { + example_fun <- function(arg) { + assert_varval_list(arg, accept_var = TRUE) + } + + expect_error( + example_fun(exprs(USUBJID, PARAMCD, NULL)), + class = "assert_varval_list" + ) + expect_snapshot( + example_fun(exprs(USUBJID, PARAMCD, NULL)), + error = TRUE + ) +}) + +## Test 70: error if `required_elements` are missing from `arg` ---- +test_that("assert_varval_list Test 70: error if `required_elements` are missing from `arg`", { + example_fun <- function(arg) { + assert_varval_list(arg, required_elements = "DTHDOM") + } + + expect_error( + example_fun(exprs(DTHSEQ = AESEQ)), + class = "assert_varval_list" + ) + expect_snapshot( + example_fun(exprs(DTHSEQ = AESEQ)), + error = TRUE + ) +}) + +## Test 71: no error if `arg` is NULL and optional is TRUE ---- +test_that("assert_varval_list Test 71: no error if `arg` is NULL and optional is TRUE", { + example_fun <- function(arg) { + assert_varval_list(arg, optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 72: error if `accept_expr` is TRUE and value is invalid ---- +test_that("assert_varval_list Test 72: error if `accept_expr` is TRUE and value is invalid", { + example_fun <- function(arg) { + assert_varval_list(arg, accept_expr = TRUE) + } + + expect_error( + example_fun(exprs(DTHSEQ = TRUE)), + class = "assert_varval_list" + ) + expect_snapshot( + example_fun(exprs(DTHSEQ = TRUE)), + error = TRUE + ) +}) + +## Test 73: error if `accept_expr` is FALSE and value is invalid ---- +test_that("assert_varval_list Test 73: error if `accept_expr` is FALSE and value is invalid", { + example_fun <- function(arg) { + assert_varval_list(arg, accept_expr = FALSE) + } + + expect_error( + example_fun(exprs(DTHSEQ = exprs())), + class = "assert_varval_list" + ) + expect_snapshot( + example_fun(exprs(DTHSEQ = exprs())), + error = TRUE + ) +}) + +## Test 74: no error if an argument is a variable-value list ---- +test_that("assert_varval_list Test 74: no error if an argument is a variable-value list", { + example_fun <- function(arg) { + assert_varval_list(arg) + } + + expect_invisible( + example_fun(exprs(DTHDOM = "AE", DTHSEQ = AESEQ)) + ) +}) + +# assert_expr_list ---- +## Test 75: error if `arg` is not a list of expressions ---- +test_that("assert_expr_list Test 75: error if `arg` is not a list of expressions", { + expect_error( + assert_expr_list(arg <- c("USUBJID", "PARAMCD", "VISIT")), + class = "assert_expr_list" + ) +}) + +## Test 76: error if `arg` is not a named list of expressions ---- +test_that("assert_expr_list Test 76: error if `arg` is not a named list of expressions", { + expect_error( + assert_expr_list(arg <- exprs(USUBJID, PARAMCD, NULL), named = TRUE), + regexp = "argument must be named" + ) +}) + +## Test 77: error if `required_elements` are missing from `arg` ---- +test_that("assert_expr_list Test 77: error if `required_elements` are missing from `arg`", { + expect_error( + assert_expr_list( + arg <- exprs(DTHSEQ = AESEQ), + required_elements = "DTHDOM" + ), + class = "assert_expr_list" + ) +}) + +## Test 78: no error if `arg` is NULL and optional is TRUE ---- +test_that("assert_expr_list Test 78: no error if `arg` is NULL and optional is TRUE", { + expect_invisible( + assert_expr_list(NULL, optional = TRUE) + ) +}) + +## Test 79: error if element is invalid ---- +test_that("assert_expr_list Test 79: error if element is invalid", { + expect_error( + assert_expr_list(arg <- exprs(DTHSEQ = !!mean)), + class = "assert_expr_list" + ) +}) + +## Test 80: no error if argument is valid ---- +test_that("assert_expr_list Test 80: no error if argument is valid", { + expect_invisible( + assert_expr_list(arg <- exprs( + DTHDOM = "AE", + DTHSEQ = AESEQ, + DTHVAR = if_else(!is.na(AEDECOD), "AEDECOD", NA) + )) + ) +}) + +# assert_list_element ---- +## Test 81: no error if the elements fulfill a certain condition ---- +test_that("assert_list_element Test 81: no error if the elements fulfill a certain condition", { + expect_invisible( + assert_list_element( + list( + list(var = expr(DTHDT), val = 1), + list(var = expr(EOSDT), val = 0) + ), + element = "val", + condition = val >= 0, + message_text = "" + ) + ) +}) + +## Test 82: error if the elements do not fulfill the condition ---- +test_that("assert_list_element Test 82: error if the elements do not fulfill the condition", { + expect_error( + assert_list_element( + list( + list(var = expr(DTHDT), val = 1), + list(var = expr(EOSDT), val = -1) + ), + element = "val", + condition = val >= 0, + message_text = "List element {.val val} must be `>=0` in argument {.arg {arg_name}}:", + arg_name = "input" + ) + ) + + expect_snapshot( + error = TRUE, + assert_list_element( + list( + list(var = expr(DTHDT), val = 1), + list(var = expr(EOSDT), val = -1), + list(var = expr(EOSDT), val = -2) + ), + element = "val", + condition = val >= 0, + message_text = "List element {.val val} must be `>=0` in argument {.arg {arg_name}}:", + arg_name = "input" + ) + ) +}) + +# assert_one_to_one ---- +## Test 83: error if there is a one to many mapping ---- +test_that("assert_one_to_one Test 83: error if there is a one to many mapping", { + dm <- dplyr::tribble( + ~DOMAIN, ~USUBJID, + "DM", "01-701-1015", + "DM", "01-701-1016", + "DM", "01-701-1023", + "DM", "01-701-1024", + ) + + expect_error( + assert_one_to_one(dm, exprs(DOMAIN), exprs(USUBJID)), + class = "assert_one_to_one" + ) + admiraldev_environment$one_to_many <- NULL + + expect_snapshot( + error = TRUE, + assert_one_to_one(dm, exprs(DOMAIN), exprs(USUBJID)) + ) + admiraldev_environment$one_to_many <- NULL +}) + +## Test 84: error if there is a many to one mapping ---- +test_that("assert_one_to_one Test 84: error if there is a many to one mapping", { + dm <- dplyr::tribble( + ~DOMAIN, ~USUBJID, + "DM", "01-701-1015", + "DM", "01-701-1016", + "DM", "01-701-1023", + "DM", "01-701-1024", + ) + + expect_error( + assert_one_to_one(dm, exprs(USUBJID), exprs(DOMAIN)), + class = "assert_one_to_one" + ) + admiraldev_environment$many_to_one <- NULL +}) + +## Test 85: dataset is returned invisible if one-to-one ---- +test_that("assert_one_to_one Test 85: dataset is returned invisible if one-to-one", { + df <- dplyr::tribble( + ~SPECIES, ~SPECIESN, + "DOG", 1L, + "CAT", 2L, + "DOG", 1L + ) + + df_out <- expect_invisible( + assert_one_to_one(df, vars1 = exprs(SPECIES), vars2 = exprs(SPECIESN)) + ) + + expect_equal(df_out, expected = df) +}) + +# assert_date_var ---- +## Test 86: error if variable is not a date or datetime variable ---- +test_that("assert_date_var Test 86: error if variable is not a date or datetime variable", { + example_fun <- function(dataset, var) { + var <- assert_symbol(enexpr(var)) + assert_date_var(dataset = dataset, var = !!var) + } + + my_data <- dplyr::tribble( + ~USUBJID, ~ADT, + "1", ymd("2020-12-06"), + "2", ymd("") + ) + + expect_error( + example_fun( + dataset = my_data, + var = USUBJID + ) + ) + expect_snapshot( + error = TRUE, + example_fun( + dataset = my_data, + var = USUBJID + ) + ) +}) + +# assert_date_vector ---- +## Test 87: returns error if input vector is not a date formatted ---- +test_that("assert_date_vector Test 87: returns error if input vector is not a date formatted", { + expect_error(assert_date_vector("2018-08-23")) +}) + +## Test 88: returns invisible if input is date formatted ---- +test_that("assert_date_vector Test 88: returns invisible if input is date formatted", { + expect_invisible(assert_date_vector(as.Date("2022-10-25"))) +}) + +## Test 89: no error if `arg` is NULL and optional is TRUE ---- +test_that("assert_date_vector Test 89: no error if `arg` is NULL and optional is TRUE", { + example_fun <- function(arg) { + assert_date_vector(arg, optional = TRUE) + } + + expect_invisible( + example_fun(NULL) + ) +}) + +## Test 90: error if `arg` is NULL and optional is FALSE ---- +test_that("assert_date_vector Test 90: error if `arg` is NULL and optional is FALSE", { + example_fun <- function(arg) { + assert_date_vector(arg, optional = FALSE) + } + + expect_error( + example_fun(NULL), + class = "assert_date_vector" + ) + expect_snapshot( + example_fun(NULL), + error = TRUE + ) +}) + + +# assert_atomic_vector ---- +## Test 91: error if input is not atomic vector ---- +test_that("assert_atomic_vector Test 91: error if input is not atomic vector", { + x <- list("a", "a", "b", "c", "d", "d", 1, 1, 4) + expect_error(assert_atomic_vector(x), class = "assert_atomic_vector") + expect_snapshot( + error = TRUE, + assert_atomic_vector(x) + ) +}) + +# assert_same_type ---- +## Test 92: no error if same type ---- +test_that("assert_same_type Test 92: no error if same type", { + true_value <- "Y" + false_value <- "N" + expect_invisible(assert_same_type(true_value, false_value)) +}) + +## Test 93: error if different type ---- +test_that("assert_same_type Test 93: error if different type", { + true_value <- "Y" + false_value <- "N" + missing_value <- 0 + + # perform a class match of the error message + expect_error( + assert_same_type(true_value, false_value, missing_value), + class = "assert_same_type" + ) + expect_snapshot( + error = TRUE, + assert_same_type(true_value, false_value, missing_value) + ) +}) + +## Test 94: works as intended ---- +test_that("assert_same_type Test 94: works as intended", { + expect_equal( + valid_time_units(), + c("years", "months", "days", "hours", "minutes", "seconds") + ) +}) diff --git a/tests/testthat/test-compat_friendly_type.R b/tests/testthat/test-compat_friendly_type.R new file mode 100644 index 0000000000..1dddec4541 --- /dev/null +++ b/tests/testthat/test-compat_friendly_type.R @@ -0,0 +1,102 @@ +# friendly_type_of ---- +## Test 1: friendly_type_of() supports objects ---- +test_that("friendly_type_of Test 1: friendly_type_of() supports objects", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_equal(friendly_type_of(mtcars), "a object") + expect_equal(friendly_type_of(quo(1)), "a object") +}) + +## Test 2: friendly_type_of() supports matrices and arrays ---- +test_that("friendly_type_of Test 2: friendly_type_of() supports matrices and arrays", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_equal(friendly_type_of(list()), "an empty list") + expect_equal(friendly_type_of(matrix(list(1, 2))), "a list matrix") + expect_equal(friendly_type_of(array(list(1, 2, 3), dim = 1:3)), "a list array") + + expect_equal(friendly_type_of(matrix(1:3)), "an integer matrix") + expect_equal(friendly_type_of(array(1:3, dim = 1:3)), "an integer array") + + expect_equal(friendly_type_of(matrix(letters)), "a character matrix") + expect_equal(friendly_type_of(array(letters[1:3], dim = 1:3)), "a character array") +}) + +## Test 3: friendly_type_of() handles scalars ---- +test_that("friendly_type_of Test 3: friendly_type_of() handles scalars", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_equal(friendly_type_of(NA), "`NA`") + + expect_equal(friendly_type_of(TRUE), "`TRUE`") + expect_equal(friendly_type_of(FALSE), "`FALSE`") + + expect_equal(friendly_type_of(1L), "an integer") + expect_equal(friendly_type_of(1.0), "a number") + expect_equal(friendly_type_of(1i), "a complex number") + expect_equal(friendly_type_of(as.raw(1)), "a raw value") + + expect_equal(friendly_type_of("foo"), "a string") + expect_equal(friendly_type_of(""), "`\"\"`") + + expect_equal(friendly_type_of(list(1)), "a list") + + expect_equal(friendly_type_of(matrix(NA)), "a logical matrix") + expect_equal(friendly_type_of(matrix(1)), "a double matrix") +}) + +## Test 4: friendly_type_of() edge cases ---- +test_that("friendly_type_of Test 4: friendly_type_of() edge cases", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_equal(friendly_type_of(), "absent") + expect_equal(friendly_type_of(1:2, length = TRUE), "an integer vector of length 2") + + expect_equal(friendly_type_of(list(test = 1:3)), "a list") + expect_equal(friendly_type_of(NULL), "NULL") + expect_equal(friendly_type_of(new.env(parent = emptyenv())), "an environment") + + # If we go through with adding xml2 into namespace this should work, xml2 is in renv.lock + # expect_equal(friendly_type_of(xml2::read_xml("")$node), "a pointer") nolint + + test_weakref <- rlang::new_weakref(new.env(parent = emptyenv()), + finalizer = function(e) suppressMessages(message("finalized")) + ) + expect_equal(friendly_type_of(test_weakref), "a weak reference") + + # Skip name + expect_equal(friendly_type_of(sym("test symbol")), "a symbol") + expect_equal(friendly_type_of(expr(1 + 1)), "a call") + expect_equal(friendly_type_of(pairlist(x = 1, y = 2)), "a pairlist node") + expect_equal(friendly_type_of(expression(x <- 4, x)), "an expression vector") + + # Unsure what char is in compat_friendly_type.R line 118 + # Promise seems impossible because it stops being a promise at evaluation? + # Unsure how to check for `...` + # Unsure how to check for `any` + + expect_equal(friendly_type_of(compiler::compile(quote(1 + 3))), "an internal bytecode object") + + # Skip primitive + # Skip builtin + expect_equal(friendly_type_of(switch), "a primitive function") + expect_equal(friendly_type_of(mean), "a function") +}) +# .rlang_as_friendly_type ---- +## Test 5: .rlang_as_friendly_type() works ---- +test_that(".rlang_as_friendly_type Test 5: .rlang_as_friendly_type() works", { + withr::local_options(lifecycle_verbosity = "quiet") + setClass("person", slots = c(name = "character", age = "numeric")) + john <- new("person", name = "John", age = 18) + expect_equal(.rlang_as_friendly_type(typeof(john)), "an S4 object") +}) + +# .rlang_stop_unexpected_typeof ---- +## Test 6: .rlang_stop_unexpected_typeof() works ---- +test_that(".rlang_stop_unexpected_typeof Test 6: .rlang_stop_unexpected_typeof() works", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_error(.rlang_stop_unexpected_typeof("test"), "Unexpected type .") +}) + +# stop_input_type ---- +## Test 7: stop_input_type() works ---- +test_that("stop_input_type Test 7: stop_input_type() works", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_error(stop_input_type(1, what = "character")) +}) diff --git a/tests/testthat/test-dataset_vignette.R b/tests/testthat/test-dataset_vignette.R new file mode 100644 index 0000000000..c3aa9fc1da --- /dev/null +++ b/tests/testthat/test-dataset_vignette.R @@ -0,0 +1,48 @@ +# dataset_vignette ---- +## Test 1: A 'knitr_kable' object is outputted when run outside pkgdown ---- +test_that("dataset_vignette Test 1: A 'knitr_kable' object is outputted when run outside pkgdown", { + Sys.setenv(IN_PKGDOWN = "false") # nolint: undesirable_function_linter + on.exit(Sys.setenv(IN_PKGDOWN = "")) # nolint: undesirable_function_linter + + dm <- dplyr::tribble( + ~STUDYID, ~USUBJID, ~COUNTRY, + "STUDY1", "1", "USA", + "STUDY1", "2", "USA", + "STUDY1", "3", "USA", + "STUDY1", "4", "USA" + ) + + expect_s3_class(dataset_vignette(dm), "knitr_kable") + expect_s3_class(dataset_vignette(dm, display_vars = exprs(STUDYID, USUBJID)), "knitr_kable") +}) + +## Test 2: A 'datatables' object is outputted when run inside pkgdown ---- +test_that("dataset_vignette Test 2: A 'shiny.tag.list' is outputted when run inside pkgdown", { + Sys.setenv(IN_PKGDOWN = "true") # nolint: undesirable_function_linter + on.exit(Sys.setenv(IN_PKGDOWN = "")) # nolint: undesirable_function_linter + + dm <- dplyr::tribble( + ~STUDYID, ~USUBJID, ~COUNTRY, + "STUDY1", "1", "USA", + "STUDY1", "2", "USA", + "STUDY1", "3", "USA", + "STUDY1", "4", "USA" + ) + + + expect_s3_class(dataset_vignette(dm), "shiny.tag.list") + expect_s3_class(dataset_vignette(dm, display_vars = exprs(STUDYID, USUBJID)), "shiny.tag.list") +}) + +## Test 3: An error is outputted when calling variable not in dataset ---- +test_that("dataset_vignette Test 3: An error is outputted when calling variable not in dataset", { + dm <- dplyr::tribble( + ~STUDYID, ~USUBJID, ~COUNTRY, + "STUDY1", "1", "USA", + "STUDY1", "2", "USA", + "STUDY1", "3", "USA", + "STUDY1", "4", "USA" + ) + + expect_error(dataset_vignette(dm, display_vars = exprs(AGE))) +}) diff --git a/tests/testthat/test-derive_extreme_event.R b/tests/testthat/test-derive_extreme_event.R index b5fcf06ddc..f334959f45 100644 --- a/tests/testthat/test-derive_extreme_event.R +++ b/tests/testthat/test-derive_extreme_event.R @@ -2,30 +2,30 @@ ## Test 1: `mode` = first ---- test_that("derive_extreme_event Test 1: `mode` = first", { input <- tibble::tribble( - ~USUBJID, ~PARAMCD, ~AVALC, ~ADY, - "1", "NO SLEEP", "N", 1, - "1", "WAKE UP", "N", 2, - "1", "FALL ASLEEP", "N", 3, - "2", "NO SLEEP", "N", 1, - "2", "WAKE UP", "Y", 2, - "2", "WAKE UP", "Y", 3, - "2", "FALL ASLEEP", "N", 4, - "3", "NO SLEEP", NA_character_, 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~ADY, + "xyz", "1", "NO SLEEP", "N", 1, + "xyz", "1", "WAKE UP", "N", 2, + "xyz", "1", "FALL ASLEEP", "N", 3, + "xyz", "2", "NO SLEEP", "N", 1, + "xyz", "2", "WAKE UP", "Y", 2, + "xyz", "2", "WAKE UP", "Y", 3, + "xyz", "2", "FALL ASLEEP", "N", 4, + "xyz", "3", "NO SLEEP", NA_character_, 1 ) expected_output <- bind_rows( input, tibble::tribble( - ~USUBJID, ~PARAMCD, ~AVALC, ~AVAL, ~ADY, - "1", "WSP", "No sleeping problems", 4, 1, - "2", "WSP", "Waking up more than three times", 2, 2, - "3", "WSP", "Missing", 99, 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~AVAL, ~ADY, + "xyz", "1", "WSP", "No sleeping problems", 4, 1, + "xyz", "2", "WSP", "Waking up more than three times", 2, 2, + "xyz", "3", "WSP", "Missing", 99, 1 ) ) actual_output <- derive_extreme_event( input, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( condition = PARAMCD == "NO SLEEP" & AVALC == "Y", @@ -69,30 +69,30 @@ test_that("derive_extreme_event Test 1: `mode` = first", { ## Test 2: `mode` = last ---- test_that("derive_extreme_event Test 2: `mode` = last", { input <- tibble::tribble( - ~USUBJID, ~PARAMCD, ~AVALC, ~ADY, - "1", "NO SLEEP", "N", 1, - "1", "WAKE UP", "N", 2, - "1", "FALL ASLEEP", "N", 3, - "2", "NO SLEEP", "N", 1, - "2", "WAKE UP", "Y", 2, - "2", "WAKE UP", "Y", 3, - "2", "FALL ASLEEP", "N", 4, - "3", "NO SLEEP", NA_character_, 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~ADY, + "xyz", "1", "NO SLEEP", "N", 1, + "xyz", "1", "WAKE UP", "N", 2, + "xyz", "1", "FALL ASLEEP", "N", 3, + "xyz", "2", "NO SLEEP", "N", 1, + "xyz", "2", "WAKE UP", "Y", 2, + "xyz", "2", "WAKE UP", "Y", 3, + "xyz", "2", "FALL ASLEEP", "N", 4, + "xyz", "3", "NO SLEEP", NA_character_, 1 ) expected_output <- bind_rows( input, tibble::tribble( - ~USUBJID, ~PARAMCD, ~AVALC, ~AVAL, ~ADY, - "1", "WSP", "No sleeping problems", 4, 3, - "2", "WSP", "Waking up more than three times", 2, 3, - "3", "WSP", "Missing", 99, 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~AVAL, ~ADY, + "xyz", "1", "WSP", "No sleeping problems", 4, 3, + "xyz", "2", "WSP", "Waking up more than three times", 2, 3, + "xyz", "3", "WSP", "Missing", 99, 1 ) ) actual_output <- derive_extreme_event( input, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( condition = PARAMCD == "NO SLEEP" & AVALC == "Y", @@ -189,7 +189,7 @@ test_that("derive_extreme_event Test 3: `source_datasets` works", { select(-ADTC) %>% derive_vars_merged( dataset_add = adsl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(TRTSDT) ) expected <- bind_rows( @@ -217,7 +217,7 @@ test_that("derive_extreme_event Test 3: `source_datasets` works", { actual <- derive_extreme_event( dataset = adrs, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), tmp_event_nr_var = event_nr, order = exprs(event_nr, ADT), mode = "first", @@ -284,13 +284,13 @@ test_that("derive_extreme_event Test 3: `source_datasets` works", { ## Test 4: event-specific mode ---- test_that("derive_extreme_event Test 4: event-specific mode", { adhy <- tibble::tribble( - ~USUBJID, ~AVISITN, ~CRIT1FL, - "1", 1, "Y", - "1", 2, "Y", - "2", 1, "Y", - "2", 2, NA_character_, - "2", 3, "Y", - "2", 4, NA_character_ + ~STUDYID, ~USUBJID, ~AVISITN, ~CRIT1FL, + "xyz", "1", 1, "Y", + "xyz", "1", 2, "Y", + "xyz", "2", 1, "Y", + "xyz", "2", 2, NA_character_, + "xyz", "2", 3, "Y", + "xyz", "2", 4, NA_character_ ) %>% mutate( PARAMCD = "ALKPH", @@ -299,7 +299,7 @@ test_that("derive_extreme_event Test 4: event-specific mode", { actual <- derive_extreme_event( adhy, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( condition = is.na(CRIT1FL), @@ -324,9 +324,9 @@ test_that("derive_extreme_event Test 4: event-specific mode", { expected <- bind_rows( adhy, tribble( - ~USUBJID, ~AVISITN, ~AVALC, - "1", 2, "Y", - "2", 2, "N" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, + "xyz", "1", 2, "Y", + "xyz", "2", 2, "N" ) %>% mutate( PARAMCD = "ALK2", @@ -345,16 +345,16 @@ test_that("derive_extreme_event Test 4: event-specific mode", { ## Test 5: event_joined() is handled correctly ---- test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { adsl <- tibble::tribble( - ~USUBJID, ~TRTSDTC, - "1", "2020-01-01", - "2", "2019-12-12", - "3", "2019-11-11", - "4", "2019-12-30", - "5", "2020-01-01", - "6", "2020-02-02", - "7", "2020-02-02", - "8", "2020-04-01", - "9", "2020-02-01" + ~STUDYID, ~USUBJID, ~TRTSDTC, + "xyz", "1", "2020-01-01", + "xyz", "2", "2019-12-12", + "xyz", "3", "2019-11-11", + "xyz", "4", "2019-12-30", + "xyz", "5", "2020-01-01", + "xyz", "6", "2020-02-02", + "xyz", "7", "2020-02-02", + "xyz", "8", "2020-04-01", + "xyz", "9", "2020-02-01" ) %>% mutate( TRTSDT = lubridate::ymd(TRTSDTC), @@ -362,35 +362,35 @@ test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { ) adrs <- tibble::tribble( - ~USUBJID, ~ADTC, ~AVALC, - "1", "2020-01-01", "PR", - "1", "2020-02-01", "CR", - "1", "2020-02-16", "NE", - "1", "2020-03-01", "CR", - "1", "2020-04-01", "SD", - "2", "2020-01-01", "SD", - "2", "2020-02-01", "PR", - "2", "2020-03-01", "SD", - "2", "2020-03-13", "CR", - "3", "2019-11-12", "CR", - "3", "2019-12-02", "CR", - "3", "2020-01-01", "SD", - "4", "2020-01-01", "PR", - "4", "2020-03-01", "SD", - "4", "2020-04-01", "SD", - "4", "2020-05-01", "PR", - "4", "2020-05-15", "NON-CR/NON-PD", - "5", "2020-01-01", "PR", - "5", "2020-01-10", "SD", - "5", "2020-01-20", "PR", - "5", "2020-05-15", "NON-CR/NON-PD", - "6", "2020-02-06", "PR", - "6", "2020-02-16", "CR", - "6", "2020-03-30", "PR", - "7", "2020-02-06", "PR", - "7", "2020-02-16", "CR", - "7", "2020-04-01", "NE", - "9", "2020-02-16", "PD" + ~STUDYID, ~USUBJID, ~ADTC, ~AVALC, + "xyz", "1", "2020-01-01", "PR", + "xyz", "1", "2020-02-01", "CR", + "xyz", "1", "2020-02-16", "NE", + "xyz", "1", "2020-03-01", "CR", + "xyz", "1", "2020-04-01", "SD", + "xyz", "2", "2020-01-01", "SD", + "xyz", "2", "2020-02-01", "PR", + "xyz", "2", "2020-03-01", "SD", + "xyz", "2", "2020-03-13", "CR", + "xyz", "3", "2019-11-12", "CR", + "xyz", "3", "2019-12-02", "CR", + "xyz", "3", "2020-01-01", "SD", + "xyz", "4", "2020-01-01", "PR", + "xyz", "4", "2020-03-01", "SD", + "xyz", "4", "2020-04-01", "SD", + "xyz", "4", "2020-05-01", "PR", + "xyz", "4", "2020-05-15", "NON-CR/NON-PD", + "xyz", "5", "2020-01-01", "PR", + "xyz", "5", "2020-01-10", "SD", + "xyz", "5", "2020-01-20", "PR", + "xyz", "5", "2020-05-15", "NON-CR/NON-PD", + "xyz", "6", "2020-02-06", "PR", + "xyz", "6", "2020-02-16", "CR", + "xyz", "6", "2020-03-30", "PR", + "xyz", "7", "2020-02-06", "PR", + "xyz", "7", "2020-02-16", "CR", + "xyz", "7", "2020-04-01", "NE", + "xyz", "9", "2020-02-16", "PD" ) %>% mutate( PARAMCD = "OVR", @@ -399,14 +399,14 @@ test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { ) %>% derive_vars_merged( dataset_add = adsl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(TRTSDT) ) actual <- derive_extreme_event( adrs, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), tmp_event_nr_var = event_nr, order = exprs(event_nr, ADT), mode = "first", @@ -486,16 +486,16 @@ test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { expected <- bind_rows( adrs, tibble::tribble( - ~USUBJID, ~ADTC, ~AVALC, - "1", "2020-02-01", "CR", - "2", "2020-02-01", "SD", - "3", "2020-01-01", "SD", - "4", "2020-03-01", "SD", - "5", "2020-05-15", "NON-CR/NON-PD", - "6", "2020-03-30", "SD", - "7", "2020-02-06", "NE", - "8", NA_character_, "MISSING", - "9", "2020-02-16", "PD" + ~STUDYID, ~USUBJID, ~ADTC, ~AVALC, + "xyz", "1", "2020-02-01", "CR", + "xyz", "2", "2020-02-01", "SD", + "xyz", "3", "2020-01-01", "SD", + "xyz", "4", "2020-03-01", "SD", + "xyz", "5", "2020-05-15", "NON-CR/NON-PD", + "xyz", "6", "2020-03-30", "SD", + "xyz", "7", "2020-02-06", "NE", + "xyz", "8", NA_character_, "MISSING", + "xyz", "9", "2020-02-16", "PD" ) %>% mutate( ADT = lubridate::ymd(ADTC), @@ -505,7 +505,7 @@ test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { ) %>% derive_vars_merged( dataset_add = adsl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(TRTSDT) ) ) @@ -520,16 +520,16 @@ test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { ## Test 6: no tmp_event_nr_var ---- test_that("derive_extreme_event Test 6: no tmp_event_nr_var", { adrs <- tibble::tribble( - ~USUBJID, ~AVISITN, ~AVALC, - "1", 1, "PR", - "1", 2, "CR", - "1", 3, "CR" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, + "xyz", "1", 1, "PR", + "xyz", "1", 2, "CR", + "xyz", "1", 3, "CR" ) %>% mutate(PARAMCD = "OVR") actual <- derive_extreme_event( adrs, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), mode = "first", events = list( @@ -556,8 +556,8 @@ test_that("derive_extreme_event Test 6: no tmp_event_nr_var", { expected <- bind_rows( adrs, tibble::tribble( - ~USUBJID, ~AVISITN, ~AVALC, ~PARAMCD, - "1", 1, "Y", "CRSP" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, ~PARAMCD, + "xyz", "1", 1, "Y", "CRSP" ) ) @@ -571,22 +571,22 @@ test_that("derive_extreme_event Test 6: no tmp_event_nr_var", { ## Test 7: mode and condition used in event() ---- test_that("derive_extreme_event Test 7: mode and condition used in event()", { mydata <- tibble::tribble( - ~USUBJID, ~CRIT1FL, ~ADY, - "1", "Y", 1, - "1", "Y", 2, - "2", "N", 1 + ~STUDYID, ~USUBJID, ~CRIT1FL, ~ADY, + "xyz", "1", "Y", 1, + "xyz", "1", "Y", 2, + "xyz", "2", "N", 1 ) expected <- tibble::tribble( - ~USUBJID, ~CRIT1FL, ~ADY, - "1", "Y", 1 + ~STUDYID, ~USUBJID, ~CRIT1FL, ~ADY, + "xyz", "1", "Y", 1 ) expect_dfs_equal( base = expected, compare = derive_extreme_event( source_datasets = list(mydata = mydata), - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADY), mode = "first", events = list( @@ -604,13 +604,13 @@ test_that("derive_extreme_event Test 7: mode and condition used in event()", { ## Test 8: error if source dataset not available ---- test_that("derive_extreme_event Test 8: error if source dataset not available", { adhy <- tibble::tribble( - ~USUBJID, ~AVISITN, ~CRIT1FL, - "1", 1, "Y", - "1", 2, "Y", - "2", 1, "Y", - "2", 2, NA_character_, - "2", 3, "Y", - "2", 4, NA_character_ + ~STUDYID, ~USUBJID, ~AVISITN, ~CRIT1FL, + "xyz", "1", 1, "Y", + "xyz", "1", 2, "Y", + "xyz", "2", 1, "Y", + "xyz", "2", 2, NA_character_, + "xyz", "2", 3, "Y", + "xyz", "2", 4, NA_character_ ) %>% mutate( PARAMCD = "ALKPH", @@ -620,7 +620,7 @@ test_that("derive_extreme_event Test 8: error if source dataset not available", expect_snapshot( derive_extreme_event( adhy, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "adyh", @@ -650,17 +650,17 @@ test_that("derive_extreme_event Test 8: error if source dataset not available", ## Test 9: deprecation of ignore_event_order ---- test_that("derive_extreme_event Test 9: deprecation of ignore_event_order", { adrs <- tibble::tribble( - ~USUBJID, ~AVISITN, ~AVALC, - "1", 1, "PR", - "1", 2, "CR", - "1", 3, "CR" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, + "xyz", "1", 1, "PR", + "xyz", "1", 2, "CR", + "xyz", "1", 3, "CR" ) %>% mutate(PARAMCD = "OVR") expect_error( derive_extreme_event( adrs, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), mode = "first", events = list( @@ -691,17 +691,17 @@ test_that("derive_extreme_event Test 9: deprecation of ignore_event_order", { ## Test 10: deprecation of ignore_event_order ---- test_that("derive_extreme_event Test 10: deprecation of ignore_event_order", { adrs <- tibble::tribble( - ~USUBJID, ~AVISITN, ~AVALC, - "1", 1, "PR", - "1", 2, "CR", - "1", 3, "CR" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, + "xyz", "1", 1, "PR", + "xyz", "1", 2, "CR", + "xyz", "1", 3, "CR" ) %>% mutate(PARAMCD = "OVR") expect_error( derive_extreme_event( adrs, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN), mode = "first", events = list( diff --git a/tests/testthat/test-derive_extreme_records.R b/tests/testthat/test-derive_extreme_records.R index a083da8404..544d203aca 100644 --- a/tests/testthat/test-derive_extreme_records.R +++ b/tests/testthat/test-derive_extreme_records.R @@ -2,21 +2,21 @@ ## Test 1: add last observation for each group ---- test_that("derive_extreme_records Test 1: add last observation for each group", { input <- tibble::tribble( - ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, - "1", 1, 12, 1, - "1", 3, 9, 2, - "2", 2, 42, 1, - "3", 3, 14, 1, - "3", 3, 10, 2 + ~STUDYID, ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, + "xyz", "1", 1, 12, 1, + "xyz", "1", 3, 9, 2, + "xyz", "2", 2, 42, 1, + "xyz", "3", 3, 14, 1, + "xyz", "3", 3, 10, 2 ) expected_output <- bind_rows( input, tibble::tribble( - ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, - "1", 3, 9, 2, - "2", 2, 42, 1, - "3", 3, 10, 2 + ~STUDYID, ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, + "xyz", "1", 3, 9, 2, + "xyz", "2", 2, 42, 1, + "xyz", "3", 3, 10, 2 ) %>% mutate(DTYPE = "LOV") ) @@ -25,7 +25,7 @@ test_that("derive_extreme_records Test 1: add last observation for each group", input, dataset_add = input, order = exprs(AVISITN, LBSEQ), - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), mode = "last", set_values_to = exprs(DTYPE = "LOV") ) @@ -74,7 +74,7 @@ test_that("derive_extreme_records Test 2: derive first PD date", { adrs, dataset_ref = adsl, dataset_add = adrs, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = PARAMCD == "OVR" & AVALC == "PD", exist_flag = AVALC, order = exprs(ADT), @@ -121,7 +121,7 @@ test_that("derive_extreme_records Test 3: derive death date parameter", { actual <- derive_extreme_records( dataset_ref = adsl, dataset_add = adsl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = !is.na(DTHDT), exist_flag = AVAL, true_value = 1, @@ -192,7 +192,7 @@ test_that("derive_extreme_records Test 4: latest evaluable tumor assessment date dataset = adrs, dataset_ref = adsl, dataset_add = adrs, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = PARAMCD == "OVR" & AVALC != "NE", order = exprs(ADT), exist_flag = AVALC, @@ -267,7 +267,7 @@ test_that("derive_extreme_records Test 5: latest evaluable tumor assessment date dataset = adrs, dataset_ref = adsl, dataset_add = adrs, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), filter_add = PARAMCD == "OVR" & AVALC != "NE", order = exprs(ADT), mode = "last", @@ -314,23 +314,23 @@ test_that("derive_extreme_records Test 6: error if no dataset_add", { ## Test 7: keep vars in `keep_source_vars` in the new records ---- test_that("derive_extreme_records Test 7: keep vars in `keep_source_vars` in the new records", { input <- tibble::tribble( - ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, - 1, 1, 12, 1, - 1, 3, 9, 2, - 2, 2, 42, 1, - 3, 3, 14, 1, - 3, 3, 10, 2 + ~STUDYID, ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, + "xyz", 1, 1, 12, 1, + "xyz", 1, 3, 9, 2, + "xyz", 2, 2, 42, 1, + "xyz", 3, 3, 14, 1, + "xyz", 3, 3, 10, 2 ) expected_output <- bind_rows( input, tibble::tribble( - ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, - 1, 3, 9, 2, - 2, 2, 42, 1, - 3, 3, 10, 2 + ~STUDYID, ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, + "xyz", 1, 3, 9, 2, + "xyz", 2, 2, 42, 1, + "xyz", 3, 3, 10, 2 ) %>% - select(USUBJID, AVISITN, AVAL) %>% + select(!!!get_admiral_option("subject_keys"), AVISITN, AVAL) %>% mutate(DTYPE = "LOV") ) @@ -338,7 +338,7 @@ test_that("derive_extreme_records Test 7: keep vars in `keep_source_vars` in the input, dataset_add = input, order = exprs(AVISITN, LBSEQ), - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), mode = "last", keep_source_vars = exprs(AVISITN, AVAL), set_values_to = exprs(DTYPE = "LOV") @@ -354,21 +354,21 @@ test_that("derive_extreme_records Test 7: keep vars in `keep_source_vars` in the ## Test 8: keep all vars in the new records when `keep_source_vars` is 'exprs(everything())' ---- test_that("derive_extreme_records Test 8: keep all vars in the new records when `keep_source_vars` is 'exprs(everything())'", { # nolint input <- tibble::tribble( - ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, - 1, 1, 12, 1, - 1, 3, 9, 2, - 2, 2, 42, 1, - 3, 3, 14, 1, - 3, 3, 10, 2 + ~STUDYID, ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, + "xyz", 1, 1, 12, 1, + "xyz", 1, 3, 9, 2, + "xyz", 2, 2, 42, 1, + "xyz", 3, 3, 14, 1, + "xyz", 3, 3, 10, 2 ) expected_output <- bind_rows( input, tibble::tribble( - ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, - 1, 3, 9, 2, - 2, 2, 42, 1, - 3, 3, 10, 2 + ~STUDYID, ~USUBJID, ~AVISITN, ~AVAL, ~LBSEQ, + "xyz", 1, 3, 9, 2, + "xyz", 2, 2, 42, 1, + "xyz", 3, 3, 10, 2 ) %>% mutate(DTYPE = "LOV") ) @@ -377,7 +377,7 @@ test_that("derive_extreme_records Test 8: keep all vars in the new records when input, dataset_add = input, order = exprs(AVISITN, LBSEQ), - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), mode = "last", keep_source_vars = exprs(everything()), set_values_to = exprs(DTYPE = "LOV") @@ -393,22 +393,22 @@ test_that("derive_extreme_records Test 8: keep all vars in the new records when ## Test 9: order vars from dataset_add ---- test_that("derive_extreme_records Test 9: order vars from dataset_add", { bds <- tibble::tribble( - ~USUBJID, ~PARAMCD, ~AVALC, - "1", "PARAM", "1" + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, + "xyz", "1", "PARAM", "1" ) xx <- tibble::tribble( - ~USUBJID, ~XXTESTCD, ~XXSEQ, - "1", "A", 1, - "1", "A", 2, - "1", "B", 3 + ~STUDYID, ~USUBJID, ~XXTESTCD, ~XXSEQ, + "xyz", "1", "A", 1, + "xyz", "1", "A", 2, + "xyz", "1", "B", 3 ) actual <- derive_extreme_records( bds, dataset_add = xx, dataset_ref = bds, - by_vars = exprs(USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(XXSEQ), mode = "first", filter_add = XXTESTCD == "A", @@ -419,9 +419,9 @@ test_that("derive_extreme_records Test 9: order vars from dataset_add", { ) expected <- tibble::tribble( - ~USUBJID, ~PARAMCD, ~AVALC, ~XXTESTCD, ~XXSEQ, - "1", "PARAM", "1", NA_character_, NA_real_, - "1", "XXFL", "Y", "A", 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~XXTESTCD, ~XXSEQ, + "xyz", "1", "PARAM", "1", NA_character_, NA_real_, + "xyz", "1", "XXFL", "Y", "A", 1 ) expect_dfs_equal( diff --git a/tests/testthat/test-derive_joined.R b/tests/testthat/test-derive_joined.R index dcfe349d89..803e0aadac 100644 --- a/tests/testthat/test-derive_joined.R +++ b/tests/testthat/test-derive_joined.R @@ -297,7 +297,7 @@ test_that("derive_vars_joined Test 9: fixing a bug from issue 1966", { # nolint adlb_joined <- derive_vars_joined( adlb_ast, dataset_add = adlb_tbili_pbl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM, ASEQ), join_type = "all", new_vars = exprs(TBILI_ADT = ADT), diff --git a/tests/testthat/test-derive_param_tte.R b/tests/testthat/test-derive_param_tte.R index 0feeb4b236..548da8d2f4 100644 --- a/tests/testthat/test-derive_param_tte.R +++ b/tests/testthat/test-derive_param_tte.R @@ -833,7 +833,7 @@ test_that("derive_param_tte Test 12: test dataset and dynamic byvars populated", ) actual_output <- derive_param_tte( - dataset = adsl %>% select(STUDYID, USUBJID) %>% mutate(PARAMCD = "XYZ"), + dataset = adsl %>% select(!!!get_admiral_option("subject_keys")) %>% mutate(PARAMCD = "XYZ"), dataset_adsl = adsl, by_vars = exprs(AEDECOD), start_date = TRTSDT, @@ -849,7 +849,7 @@ test_that("derive_param_tte Test 12: test dataset and dynamic byvars populated", ) expected_output <- bind_rows( - adsl %>% select(STUDYID, USUBJID) %>% mutate(PARAMCD = "XYZ"), + adsl %>% select(!!!get_admiral_option("subject_keys")) %>% mutate(PARAMCD = "XYZ"), tibble::tribble( ~USUBJID, ~EVNTDESC, ~SRCDOM, ~SRCVAR, ~SRCSEQ, ~CNSR, ~ADT, "01", "AE", "AE", "AESTDTC", 2, 0L, ymd("2021-03-04"), diff --git a/tests/testthat/test-derive_vars_extreme_event.R b/tests/testthat/test-derive_vars_extreme_event.R index 369ea283ce..f1d598b73f 100644 --- a/tests/testthat/test-derive_vars_extreme_event.R +++ b/tests/testthat/test-derive_vars_extreme_event.R @@ -11,7 +11,7 @@ test_that("derive_vars_extreme_event Test 1: derive_vars_extreme_event", { actual <- derive_vars_extreme_event( adsl, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), events = list( event( dataset_name = "adsl", diff --git a/tests/testthat/test-dev_utilities.R b/tests/testthat/test-dev_utilities.R new file mode 100644 index 0000000000..379c9b8e84 --- /dev/null +++ b/tests/testthat/test-dev_utilities.R @@ -0,0 +1,105 @@ +# arg_name ---- +## Test 1: arg_name works ---- +test_that("arg_name Test 1: arg_name works", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_equal(arg_name(sym("a")), "a") + expect_equal(arg_name(call("enquo", sym("a"))), "a") + expect_error(arg_name("a"), "Could not extract argument name from") +}) + +# convert_dtm_to_dtc ---- +## Test 2: works if dtm is in correct format ---- +test_that("convert_dtm_to_dtc Test 2: works if dtm is in correct format", { + expect_equal( + convert_dtm_to_dtc(as.POSIXct("2022-04-05 15:34:07 UTC")), + "2022-04-05T15:34:07" + ) +}) + +## Test 3: Error is thrown if dtm is not in correct format ---- +test_that("convert_dtm_to_dtc Test 3: Error is thrown if dtm is not in correct format", { + expect_error( + convert_dtm_to_dtc("2022-04-05T15:26:14"), + "lubridate::is.instant(dtm) is not TRUE", + fixed = TRUE + ) +}) + +# filter_if ---- +## Test 4: Input is returned as is if filter is NULL ---- +test_that("filter_if Test 4: Input is returned as is if filter is NULL", { + input <- dplyr::tribble( + ~USUBJID, ~VSTESTCD, ~VSSTRESN, + "P01", "WEIGHT", 80.9, + "P01", "HEIGHT", 189.2 + ) + + expected_output <- input + + expect_dfs_equal( + expected_output, + filter_if(input, expr(NULL)), + keys = c("USUBJID", "VSTESTCD") + ) +}) + +## Test 5: Input is filtered if filter is not NULL ---- +test_that("filter_if Test 5: Input is filtered if filter is not NULL", { + input <- dplyr::tribble( + ~USUBJID, ~VSTESTCD, ~VSSTRESN, + "P01", "WEIGHT", 80.9, + "P01", "HEIGHT", 189.2 + ) + + expected_output <- input[1L, ] + + expect_dfs_equal( + expected_output, + filter_if(input, expr(VSTESTCD == "WEIGHT")), + keys = c("USUBJID", "VSTESTCD") + ) +}) + +# contains_vars ---- +## Test 6: returns TRUE for valid arguments ---- +test_that("contains_vars Test 6: returns TRUE for valid arguments", { + expect_true(contains_vars(exprs(USUBJID, PARAMCD))) +}) + +## Test 7: returns TRUE for valid arguments ---- +test_that("contains_vars Test 7: returns TRUE for valid arguments", { + expect_error(contains_vars(USUBJID)) +}) +# vars2chr ---- +## Test 8: returns character vector ---- +test_that("vars2chr Test 8: returns character vector", { + expected <- c("STUDYID", "USUBJID") + names(expected) <- c("", "") + expect_equal(vars2chr(exprs(STUDYID, USUBJID)), expected) +}) + +# extract_vars ---- +## Test 9: works with formulas (lhs) ---- +test_that("extract_vars Test 9: works with formulas (lhs)", { + expect_equal( + object = extract_vars(AVAL ~ ARMCD + AGEGR1), + expected = unname(exprs(AVAL)) + ) +}) + +## Test 10: works with formulas (rhs) ---- +test_that("extract_vars Test 10: works with formulas (rhs)", { + expect_equal( + object = extract_vars(AVAL ~ ARMCD + AGEGR1, side = "rhs"), + expected = unname(exprs(ARMCD, AGEGR1)) + ) +}) + +## Test 11: works with calls ---- +test_that("extract_vars Test 11: works with calls", { + fun <- mean + expect_equal( + object = extract_vars(expr({{ fun }}((BASE - AVAL) / BASE * 100, LLQ / 2))), + expected = unname(exprs(BASE, AVAL, LLQ)) + ) +}) diff --git a/tests/testthat/test-get.R b/tests/testthat/test-get.R new file mode 100644 index 0000000000..d92a86e045 --- /dev/null +++ b/tests/testthat/test-get.R @@ -0,0 +1,87 @@ +# get_constant_vars ---- +## Test 1: without ignore_vars ---- +test_that("get_constant_vars Test 1: without ignore_vars", { + data <- dplyr::tribble( + ~USUBJID, ~AGE, ~AVISIT, + "1", 26, "BASELINE", + "1", 26, "WEEK 1", + "2", 42, "BASELINE", + "2", 42, "WEEK 1" + ) + + expect_equal( + get_constant_vars(data, by_vars = exprs(USUBJID)), + exprs(USUBJID, AGE) + ) +}) + +## Test 2: with ignore_vars ---- +test_that("get_constant_vars Test 2: with ignore_vars", { + data <- dplyr::tribble( + ~USUBJID, ~AGE, ~WGTBL, ~HGTBL, ~AVISIT, + "1", 26, 61, 172, "BASELINE", + "1", 26, 61, 172, "WEEK 1", + "2", 42, 72, 183, "BASELINE", + "2", 42, 72, 183, "WEEK 1" + ) + + expect_equal( + get_constant_vars(data, by_vars = exprs(USUBJID), ignore_vars = exprs(WGTBL, HGTBL)), + exprs(USUBJID, AGE) + ) +}) + +# get_duplicates ---- +## Test 3: x atomic vector ---- +test_that("get_duplicates Test 3: x atomic vector", { + x <- c("a", "a", "b", "c", "d", "d", 1, 1, 4) + + expect_equal( + get_duplicates(x), + c("a", "d", 1) + ) +}) + +# get_source_vars ---- +## Test 4: x is a list of expressions ---- +test_that("get_source_vars Test 4: x is a list of expressions", { + x <- exprs(DTHDOM = "AE", DTHSEQ = AESEQ) + + expect_equal( + get_source_vars(x), + x[2] + ) +}) + +## Test 5: NULL returns NULL ---- +test_that("get_source_vars Test 5: NULL returns NULL", { + expect_equal( + get_source_vars(NULL), + NULL + ) +}) + +## Test 6: no source vars returns NULL ---- +test_that("get_source_vars Test 6: no source vars returns NULL", { + expect_equal( + get_source_vars(x <- exprs(DTHDOM = "AE", DTHVAR = "AEDECOD")), + NULL + ) +}) + +# get_dataset ---- +## Test 7: get_dataset works ---- +test_that("get_dataset Test 7: get_dataset works", { + admiraldev_environment$many_to_one <- NULL + admiraldev_environment$one_to_many <- NULL + + expect_equal(NULL, get_dataset("one_to_many")) +}) + +## Test 8: get_dataset works ---- +test_that("get_dataset Test 8: get_dataset works", { + expect_error( + get_dataset("test"), + class = "assert_character_scalar" + ) +}) diff --git a/tests/testthat/test-is.R b/tests/testthat/test-is.R new file mode 100644 index 0000000000..cee5944c7d --- /dev/null +++ b/tests/testthat/test-is.R @@ -0,0 +1,26 @@ +# is_order_vars ---- +## Test 1: returns error if input were created incorrectly ---- +test_that("is_order_vars Test 1: returns error if input were created incorrectly", { + expect_error(is_order_vars(STUDYID)) +}) + +## Test 2: returns TRUE if input were created correctly ---- +test_that("is_order_vars Test 2: returns TRUE if input were created correctly", { + expect_true(is_order_vars(exprs(AVAL, desc(ADT)))) +}) + +# is_valid_dtc ---- +## Test 3: returns TRUE if input are valid dtc ---- +test_that("is_valid_dtc Test 3: returns TRUE if input are valid dtc", { + expect_true(is_valid_dtc("2020")) + expect_true(is_valid_dtc("2022-09")) + expect_true(is_valid_dtc("2021-04-06")) + expect_true(is_valid_dtc("2003-12-15T13:15")) + expect_true(is_valid_dtc("2021-03-09T01:20:30")) +}) + +# is_valid_dtc ---- +## Test 4: returns error if input if input are NOT valid dtc ---- +test_that("is_valid_dtc Test 4: returns error if input if input are NOT valid dtc ", { + expect_false(is_valid_dtc("2021-03-T01:20:30")) +}) diff --git a/tests/testthat/test-process_set_values_to.R b/tests/testthat/test-process_set_values_to.R new file mode 100644 index 0000000000..40e02710b6 --- /dev/null +++ b/tests/testthat/test-process_set_values_to.R @@ -0,0 +1,78 @@ +## Test 1: add variables ---- +test_that("process_set_values_to Test 1: add variables", { + bds <- dplyr::tribble( + ~USUBJID, ~AVAL, + "1", 20, + "2", 35 + ) + expected <- bds %>% + mutate( + PARAMCD = "BMI", + PARAM = "Body-Mass-Index", + PARAMN = 1 + ) + expect_dfs_equal( + base = expected, + compare = process_set_values_to( + bds, + set_values_to = exprs( + PARAMCD = "BMI", + PARAM = "Body-Mass-Index", + PARAMN = 1 + ), + expected_types = c( + PARAMCD = "character", + PARAM = "character", + PARAMN = "numeric" + ) + ), + keys = c("USUBJID") + ) +}) + +## Test 2: catch error ---- +test_that("process_set_values_to Test 2: catch error", { + bds <- dplyr::tribble( + ~USUBJID, ~AVAL, + "1", 20, + "2", 35 + ) + + expect_snapshot( + error = TRUE, + process_set_values_to( + bds, + set_values_to = exprs( + PARAMCD = BMI, + PARAM = "Body-Mass-Index", + PARAMN = 1 + ) + ) + ) +}) + +## Test 3: check types ---- +test_that("process_set_values_to Test 3: check types", { + bds <- dplyr::tribble( + ~USUBJID, ~AVAL, + "1", 20, + "2", 35 + ) + + expect_snapshot( + error = TRUE, + process_set_values_to( + bds, + set_values_to = exprs( + PARAMCD = 1, + PARAM = "Body-Mass-Index", + PARAMN = "BMI" + ), + expected_types = c( + PARAMCD = "character", + PARAM = "character", + PARAMN = "numeric" + ) + ) + ) +}) diff --git a/tests/testthat/test-quo.R b/tests/testthat/test-quo.R new file mode 100644 index 0000000000..79e010fef9 --- /dev/null +++ b/tests/testthat/test-quo.R @@ -0,0 +1,140 @@ +# expr_c ---- +## Test 1: concatenating and indexing expressions ---- +test_that("expr_c Test 1: concatenating and indexing expressions", { + x <- expr(USUBJID) + y <- expr(STUDYID) + + expect_equal( + expected = expr(USUBJID), + object = expr_c(x, NULL, y)[[1]] + ) + expect_equal( + expected = expr(STUDYID), + object = expr_c(x, NULL, y)[[2]] + ) +}) + +## Test 2: concatenating named list of expressions ---- +test_that("expr_c Test 2: concatenating named list of expressions", { + expect_equal( + expected = exprs(PARAMCD = "DOSE", PARAMN = 1), + object = expr_c(exprs(PARAMCD = "DOSE", PARAMN = 1, NULL)) + ) +}) + +## Test 3: concatenating list and single expression ---- +test_that("expr_c Test 3: concatenating list and single expression", { + expect_equal( + expected = exprs(PARAMCD, PARAM, AVAL), + object = expr_c(exprs(PARAMCD, PARAM), expr(AVAL)) + ) +}) + +## Test 4: returns error if non-expressions are input ---- +test_that("expr_c Test 4: returns error if non-expressions are input", { + expect_error( + object = expr_c(expr(USUBJID), mean) + ) +}) + +# replace_values_by_names ---- +## Test 5: names of expressions replace value ---- +test_that("replace_values_by_names Test 5: names of expressions replace value", { + z <- exprs(USUBJID, STUDYID) + + z_noname <- replace_values_by_names(z) + + names(z) <- c("Unique Subject Identifier", "Study Identifier") + z_named <- replace_values_by_names(z) + + expect_equal( + expected = expr(USUBJID), + object = z_noname[[1]] + ) + expect_equal( + expected = expr(STUDYID), + object = z_noname[[2]] + ) + + expect_equal( + expected = expr(`Unique Subject Identifier`), + object = z_named[[1]] + ) + expect_equal( + expected = expr(`Study Identifier`), + object = z_named[[2]] + ) +}) + +## Test 6: names of argument is NULL ---- +test_that("replace_values_by_names Test 6: names of argument is NULL", { + z <- exprs(USUBJID, STUDYID) + names(z) <- NULL + + expect_equal( + expected = z, + object = replace_values_by_names(z) + ) +}) + +# replace_symbol_in_expr ---- +## Test 7: symbol is replaced ---- +test_that("replace_symbol_in_expr Test 7: symbol is replaced", { + expect_equal( + expected = expr(AVAL.join), + object = replace_symbol_in_expr( + expr(AVAL), + target = AVAL, + replace = AVAL.join + ) + ) +}) + +## Test 8: partial match is not replaced ---- +test_that("replace_symbol_in_expr Test 8: partial match is not replaced", { + expect_equal( + expected = expr(AVALC), + object = replace_symbol_in_expr( + expr(AVALC), + target = AVAL, + replace = AVAL.join + ) + ) +}) + +## Test 9: symbol in expression is replaced ---- +test_that("replace_symbol_in_expr Test 9: symbol in expression is replaced", { + expect_equal( + expected = expr(desc(AVAL.join)), + object = replace_symbol_in_expr( + expr(desc(AVAL)), + target = AVAL, + replace = AVAL.join + ) + ) +}) + +# add_suffix_to_vars ---- +## Test 10: with single variable ---- +test_that("add_suffix_to_vars Test 10: with single variable", { + expect_equal( + expected = exprs(ADT, desc(AVAL.join), AVALC), + object = add_suffix_to_vars( + exprs(ADT, desc(AVAL), AVALC), + vars = exprs(AVAL), + suffix = ".join" + ) + ) +}) + +## Test 11: with more than one variable ---- +test_that("add_suffix_to_vars Test 11: with more than one variable", { + expect_equal( + expected = exprs(ADT, desc(AVAL.join), AVALC.join), + object = add_suffix_to_vars( + exprs(ADT, desc(AVAL), AVALC), + vars = exprs(AVAL, AVALC), + suffix = ".join" + ) + ) +}) diff --git a/tests/testthat/test-quote.R b/tests/testthat/test-quote.R new file mode 100644 index 0000000000..e89ec0363f --- /dev/null +++ b/tests/testthat/test-quote.R @@ -0,0 +1,24 @@ +# enumerate ---- +## Test 1: enumerate works ---- +test_that("enumerate Test 1: enumerate works", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_equal(enumerate(letters[1]), "`a`") + expect_equal(enumerate(letters[1:3]), "`a`, `b` and `c`") + expect_equal(enumerate(1:3, quote_fun = NULL), "1, 2 and 3") +}) + +# squote ---- +## Test 2: squote works ---- +test_that("squote Test 2: squote works", { + expect_equal(squote(letters[1]), "'a'") + expect_equal(squote(letters[1:3]), c("'a'", "'b'", "'c'")) +}) + +# dquote ---- +## Test 3: dquote works ---- +test_that("dquote Test 3: dquote works", { + expect_equal(dquote(letters[1]), "\"a\"") + expect_equal(dquote(letters[1:3]), c("\"a\"", "\"b\"", "\"c\"")) + x <- NULL + expect_equal(dquote(x), "NULL") +}) diff --git a/tests/testthat/test-test_helpers.R b/tests/testthat/test-test_helpers.R new file mode 100644 index 0000000000..07ff21f144 --- /dev/null +++ b/tests/testthat/test-test_helpers.R @@ -0,0 +1,11 @@ +# expect_dfs_equal ---- +## Test 1: expect_dfs_equal works ---- +test_that("expect_dfs_equal Test 1: expect_dfs_equal works", { + a <- data.frame(x = 1:3, y = 4:6) + b <- data.frame(x = 1:3, y = 5:7) + + expect_error( + expect_dfs_equal(a, b, keys = "x"), + regexp = "Differences found\\.*" + ) +}) diff --git a/tests/testthat/test-tmp_vars.R b/tests/testthat/test-tmp_vars.R new file mode 100644 index 0000000000..4356d95590 --- /dev/null +++ b/tests/testthat/test-tmp_vars.R @@ -0,0 +1,66 @@ +dm <- dplyr::tribble( + ~USUBJID, + "01-701-1015", + "01-701-1016", +) + +# get_new_tmp_var ---- +## Test 1: creating temporary variables works ---- +test_that("get_new_tmp_var Test 1: creating temporary variables works", { + expect_identical(get_new_tmp_var(dm), sym("tmp_var_1")) +}) + +## Test 2: errors if name does not start with tmp ---- +test_that("get_new_tmp_var Test 2: errors if name does not start with tmp", { + expect_snapshot( + error = TRUE, + get_new_tmp_var(dm, prefix = "my_var") + ) +}) + +## Test 3: the temporary variable counter is increased correctly ---- +test_that("get_new_tmp_var Test 3: the temporary variable counter is increased correctly", { + dm$tmp_var_1 <- NA + dm$tmp_var_2 <- NA + expect_identical(get_new_tmp_var(dm), sym("tmp_var_3")) +}) + +# remove_tmp_vars ---- +## Test 4: no variables are removed when no tmp vars are present ---- +test_that("remove_tmp_vars Test 4: no variables are removed when no tmp vars are present", { + expect_identical(dm, remove_tmp_vars(dm)) +}) + +## Test 5: removing temporary variables works ---- +test_that("remove_tmp_vars Test 5: removing temporary variables works", { + tmp_var <- get_new_tmp_var(dm) + dm <- mutate(dm, !!tmp_var := NA) + do_something <- function(dataset) { + tmp_var_1 <- get_new_tmp_var(dm) + tmp_var_2 <- get_new_tmp_var(dm) + dm <- mutate(dm, !!tmp_var_1 := NA, !!tmp_var_2 := NA) + remove_tmp_vars(dm) + } + expect_identical(colnames(dm), colnames(do_something(dm))) +}) + +## Test 6: removing temp variables works with the pipe operator ---- +test_that("remove_tmp_vars Test 6: removing temp variables works with the pipe operator", { + tmp_var <- get_new_tmp_var(dm) + dm <- mutate(dm, !!tmp_var := NA) + do_something_with_pipe <- function(dataset) { + tmp_var_1 <- get_new_tmp_var(dm) + tmp_var_2 <- get_new_tmp_var(dm) + dm %>% + mutate(!!tmp_var_1 := NA, !!tmp_var_2 := NA) %>% + remove_tmp_vars() + } + expect_identical(colnames(dm), colnames(do_something_with_pipe(dm))) +}) + + +## Test 7: running get_new_tmp_var on NULL dataset creates generic variable ---- +test_that("running get_new_tmp_var on NULL dataset creates generic variable", { + df <- NULL + expect_identical(get_new_tmp_var(df), sym("tmp_var_1")) +}) diff --git a/tests/testthat/test-warnings.R b/tests/testthat/test-warnings.R new file mode 100644 index 0000000000..c46ef3f137 --- /dev/null +++ b/tests/testthat/test-warnings.R @@ -0,0 +1,77 @@ +# warn_if_vars_exist ---- +## Test 1: warning if a variable already exists in the input dataset ---- +test_that("warn_if_vars_exist Test 1: warning if a variable already exists in the input dataset", { + dm <- dplyr::tribble( + ~USUBJID, ~AGE, ~AGEU, ~ARM, + "01-701-1015", 25, "YEARS", "Placebo", + "01-701-1016", 27, "YEARS", "Placebo", + ) + + expect_snapshot( + warn_if_vars_exist(dm, "AGE") + ) + expect_snapshot( + warn_if_vars_exist(dm, c("AGE", "AGEU", "ARM")) + ) + expect_snapshot( + warn_if_vars_exist(dm, c("AAGE", "AGEU", "ARM")) + ) + expect_warning( + warn_if_vars_exist(dm, "AAGE"), + NA + ) +}) + +# warn_if_invalid_dtc ---- +## Test 2: Warning if vector contains unknown datetime format ---- +test_that("warn_if_invalid_dtc Test 2: Warning if vector contains unknown datetime format", { + expect_snapshot( + warn_if_invalid_dtc(dtc = "20210406T12:30:30") + ) +}) + +# warn_if_inclomplete_dtc ---- +## Test 3: Warning if vector contains an incomplete dtc ---- +test_that("warn_if_inclomplete_dtc Test 3: Warning if vector contains an incomplete date", { + expect_warning( + warn_if_incomplete_dtc("2021-04", n = 10) + ) +}) + +# warn_if_inclomplete_dtc ---- +## Test 4: Warning if vector contains an incomplete dtc ---- +test_that("warn_if_inclomplete_dtc Test 4: Warning if vector contains an incomplete datetime", { + expect_warning( + warn_if_incomplete_dtc("2021-04-06T12:30", n = 19) + ) +}) + +# warn_if_inconsistent_list ---- +## Test 5: Warning if two lists are inconsistent ---- +test_that("warn_if_inconsistent_list Test 5: Warning if two lists are inconsistent", { + expect_warning( + warn_if_inconsistent_list( + base = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ, DTHVAR = "text"), + compare = exprs(DTHDOM = "DM", DTHSEQ = DMSEQ), + list_name = "Test" + ) + ) +}) + +# suppress_warning ---- +## Test 6: Suppress certain warnings issued by an expression ---- +test_that("suppress_warning Test 6: Suppress certain warnings issued by an expression", { + # Verify if warning is issued + expect_warning( + suppress_warning(as.numeric("fun"), "x") + ) + + # Actual result + actual_result <- as.numeric(NA) + + # Call the suppress_warning() to suppress warning messages containing "NAs introduced by coercion" + expected_result <- suppress_warning(as.numeric("fun"), "coercion") + + # Expect that the warning message has been suppressed and that the result is NA + expect_equal(expected_result, actual_result) +}) diff --git a/tests/testthat/test-what.R b/tests/testthat/test-what.R new file mode 100644 index 0000000000..d06a9b4cc7 --- /dev/null +++ b/tests/testthat/test-what.R @@ -0,0 +1,44 @@ +# what_is_it ---- +## Test 1: atomic vectors of length 1 ---- +test_that("what_is_it Test 1: atomic vectors of length 1", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_identical(what_is_it(NULL), "`NULL`") + expect_identical(what_is_it(TRUE), "`TRUE`") + expect_identical(what_is_it(NA), "`NA`") + expect_identical(what_is_it("Text"), '`"Text"`') + expect_identical(what_is_it("3"), '`"3"`') + expect_identical(what_is_it(4L), "`4`") + expect_identical(what_is_it(2.42), "`2.42`") +}) + +## Test 2: vectors ---- +test_that("what_is_it Test 2: vectors", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_identical(what_is_it(letters), "a character vector") + expect_identical(what_is_it(1:10), "an integer vector") + expect_identical(what_is_it(c(1.2, 3)), "a double vector") + expect_identical(what_is_it(c(TRUE, FALSE)), "a logical vector") + expect_identical(what_is_it(list(1, letters, TRUE)), "a list") +}) + +## Test 3: S3 objects ---- +test_that("what_is_it Test 3: S3 objects", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_identical(what_is_it(mtcars), "a data frame") + expect_identical(what_is_it(factor(letters)), "a factor") + expect_identical(what_is_it(lm(hp ~ mpg, data = mtcars)), "an object of class 'lm'") + expect_identical(what_is_it(quo(4 / 1)), "an object of class 'quosure'") +}) + + +## Test 4: S4 objects ---- +test_that("what_is_it Test 4: S4 objects", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_identical(what_is_it(lubridate::days(1)), "a S4 object of class 'Period'") +}) + +## Test 5: symbols ---- +test_that("what_is_it Test 5: symbols", { + withr::local_options(lifecycle_verbosity = "quiet") + expect_identical(what_is_it(quote(USUBJID)), "a symbol") +}) diff --git a/vignettes/admiral.Rmd b/vignettes/admiral.Rmd index c446aeebc4..44f7a495dd 100644 --- a/vignettes/admiral.Rmd +++ b/vignettes/admiral.Rmd @@ -128,14 +128,14 @@ adsl <- adsl %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = c(get_admiral_option("subject_keys"), exprs(TRTSDTM, TRTSTMF)) + display_vars = exprs(!!!get_admiral_option("subject_keys"), TRTSDTM, TRTSTMF) ) ``` @@ -151,7 +151,7 @@ the variable values for the new derived record. ```{r eval=TRUE} advs <- advs %>% derive_param_computed( - by_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT, AVISITN)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, AVISITN), parameters = c("SYSBP", "DIABP"), set_values_to = exprs( AVAL = (AVAL.SYSBP + 2 * AVAL.DIABP) / 3, @@ -166,7 +166,7 @@ advs <- advs %>% advs %>% arrange(!!!get_admiral_option("subject_keys"), AVISITN, PARAMCD) %>% dataset_vignette( - display_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT, PARAMCD, AVAL)) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) ) ``` @@ -208,7 +208,7 @@ of the Final Lab Visit Date (`FINLABDT`) in the example below: adsl <- dm %>% derive_vars_merged( dataset_add = ds, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(FINLABDT = convert_dtc_to_dt(DSSTDTC)), filter_add = DSDECOD == "FINAL LAB VISIT" ) @@ -217,7 +217,7 @@ adsl <- dm %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = c(get_admiral_option("subject_keys"), exprs(FINLABDT)) + display_vars = exprs(!!!get_admiral_option("subject_keys"), FINLABDT) ) ``` @@ -233,7 +233,7 @@ adsl <- adsl %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adsl, - display_vars = c(get_admiral_option("subject_keys"), exprs(RFSTDTC, RFSTDT)) + display_vars = exprs(!!!get_admiral_option("subject_keys"), RFSTDTC, RFSTDT) ) ``` @@ -250,7 +250,7 @@ below we use `filter_extreme()` to extract the most recent MAP records in `advs` advs_lastmap <- advs %>% filter(PARAMCD == "MAP") %>% filter_extreme( - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(AVISITN, PARAMCD), mode = "last" ) @@ -259,7 +259,7 @@ advs_lastmap <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs_lastmap, - display_vars = c(get_admiral_option("subject_keys"), exprs(AVISIT, PARAMCD, AVAL)) + display_vars = exprs(!!!get_admiral_option("subject_keys"), AVISIT, PARAMCD, AVAL) ) ``` diff --git a/vignettes/admiraldev.Rmd b/vignettes/admiraldev.Rmd new file mode 100644 index 0000000000..fbbb88d4a0 --- /dev/null +++ b/vignettes/admiraldev.Rmd @@ -0,0 +1,60 @@ +--- +title: "Get Started" +output: + rmarkdown::html_vignette + +vignette: > + %\VignetteIndexEntry{Get Started} + %\VignetteEngine{knitr::rmarkdown} +--- + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + + +# Dear Developers + +`{admiraldev}` is a set of tools intended for you, the developer, to help make developing within the admiral family easier, consistently robust across all packages and maybe even fun! + +Tools are loosely defined as follows: + +* Utility Functions used in `{admiral}` and `{admiral}` extension functions for doing custom checks and providing custom messages, warnings and errors. These custom messages, warnings and errors are succinct, but helpful messaging around what a function expects as inputs. The inputs to admiral functions are many, but generally fit into three categories: datasets, variables and arguments. Most of the functions start with `assert_`, `is_` or `get_`. + +* Addins and utility functions that help with documentation, testing and checking on health of the code base in all admiral packages. + +* Vignettes on working on `{admiral}` functions, developing unit testing, releases process, vignette writing and other documentation needs. These vignettes are intended for use across all admiral packages. + +# Why have a separate development package? + +As the `{admiral}` package function base has grown it was decided to create extension packages for use within companies and specific TAs to help with specific problems. We intended these extension packages to follow the same processes as `{admiral}` core, e.g. Unit Testing, Roxygen Documentation, Function Design. A standalone development package allows us to keep an up to date development process for all developers across the family. We also feel that a lot of the developer functions are not user-specific and gives us more freedom to create and release utility tools specific to our family of packages and reduces non-user facing functions within the admiral family of packages. + +# How to add new tools to `{admiraldev}`? + +* Just like in `{admiral}`, we follow the same procedures of adding issues to discuss feature requests, bugs and documentation updates. We then develop those issues in branches and do a Pull Request with a Code Review. + +* Experimental tools are highly encouraged to help reduce repetitive patterns and automating the boring stuff. + +# When to add a function to `{admiraldev}`? + +## **Scenario One: {admiral} core** + +A developer working on `{admiral}` core implements a new type of derivation function for a BDS-Findings ADaM dataset. The new derivation function has two new `assert` custom checking functions for inputs as well as a helper function. + +Loose guidelines: + +1. The derivation function should always live in `{admiral}` core. +1. The helper function should be looked at to see it should be made available within `{admiraldev}` for other extension packages needs and so reduce repetitive coding across the family of `{admiral}`. If it cannot be generalized, then it should remain in `{admiral}`. +1. The `assert` custom checking functions should always live within `{admiraldev}` to stay with the family of `assertion` functions. + +## **Scenario Two: {admiral} extension** + +A developer working on `{admiralonco}` implements a new type of derivation function for adding certain parameters to an oncology specific ADaM dataset. The new derivation function has one new `assert` custom checking function. + +Loose guidelines: + +1. The derivation function should be closely looked at to see if it can be generalized to other ADaM datasets. If that is the case, then it should be moved to `{admiral}` core. If the function is very specific to oncology needs, then it should remain in `{admiralonco}`. +1. The `assert` custom checking functions follow a similar principle - if they can be generalized to other therapeutic areas then move to `{admiraldev}`, whereas if very specific to oncology needs, then they should remain in `{admiralonco}`. diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index d4cf1d1aab..4debbc39d2 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -82,19 +82,17 @@ adex <- derive_vars_merged( ex, dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(STUDYID, USUBJID) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c( - get_admiral_option("subject_keys"), exprs( - EXTRT, EXDOSE, EXDOSFRQ, - VISIT, EXSTDTC, EXENDTC, - TRTSDTM, TRTEDTM - ) + display_vars = exprs( + USUBJID, EXTRT, EXDOSE, EXDOSFRQ, + VISIT, EXSTDTC, EXENDTC, + TRTSDTM, TRTEDTM ) ) ``` @@ -138,7 +136,7 @@ adex <- derive_vars_dt(adex, new_vars_prefix = "AEN", dtc = EXENDTC) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, EXSTDTC, EXENDTC, ASTDT, AENDT)) + display_vars = exprs(USUBJID, VISIT, EXSTDTC, EXENDTC, ASTDT, AENDT) ) ``` @@ -165,7 +163,7 @@ adex <- derive_vars_dtm( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, EXSTDTC, EXENDTC, ASTDTM, AENDTM)) + display_vars = exprs(USUBJID, VISIT, EXSTDTC, EXENDTC, ASTDTM, AENDTM) ) ``` @@ -189,9 +187,9 @@ adex <- ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c( - get_admiral_option("subject_keys"), - exprs(VISIT, ASTDT, ASTDY, AENDT, AENDY, TRTSDT) + display_vars = exprs( + USUBJID, + VISIT, ASTDT, ASTDY, AENDT, AENDY, TRTSDT ) ) ``` @@ -214,9 +212,9 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c( - get_admiral_option("subject_keys"), - exprs(VISIT, ASTDT, ASTDY, AENDT, AENDY, EXDURD) + display_vars = exprs( + USUBJID, + VISIT, ASTDT, ASTDY, AENDT, AENDY, EXDURD ) ) ``` @@ -237,9 +235,9 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c( - get_admiral_option("subject_keys"), - exprs(VISIT, ASTDT, AENDT, EXDURD, EXDURDY) + display_vars = exprs( + USUBJID, + VISIT, ASTDT, AENDT, EXDURD, EXDURDY ) ) ``` @@ -262,7 +260,7 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c(get_admiral_option("subject_keys"), exprs(EXDOSE, EXPLDOS, EXDURD, DOSEO, PDOSEO)) + display_vars = exprs(USUBJID, EXDOSE, EXPLDOS, EXDURD, DOSEO, PDOSEO) ) ``` @@ -279,13 +277,13 @@ frequency to a corresponding set of records each representing one dose (i.e. ```{r eval=TRUE, echo=TRUE} single_dose <- adex %>% filter(USUBJID == "01-701-1015" & EXSTDY == 1) %>% - create_single_dose_dataset(keep_source_vars = c(get_admiral_option("subject_keys"), exprs(EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT))) + create_single_dose_dataset(keep_source_vars = exprs(USUBJID, EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( single_dose, - display_vars = c(get_admiral_option("subject_keys"), exprs(EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT)) + display_vars = exprs(USUBJID, EXDOSE, EXPLDOS, EXDOSFRQ, ASTDT, AENDT) ) ``` @@ -348,7 +346,7 @@ count(adex, PARAMCD) ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, VISIT, desc(PARAMCD), EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, ASTDT, AENDT, PARAMCD, AVAL, AVALC))) + dataset_vignette(display_vars = exprs(USUBJID, VISIT, ASTDT, AENDT, PARAMCD, AVAL, AVALC)) ``` ## Create Summary Records {#summaryrec} @@ -364,7 +362,7 @@ For example, to calculate the total dose by subject and treatment, adex <- derive_param_exposure( adex, dataset_add = adex, - by_vars = c(get_admiral_option("subject_keys"), adsl_vars), + by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars), input_code = "DOSE", set_values_to = exprs( PARAMCD = "TDOSE", @@ -377,13 +375,10 @@ adex <- derive_param_exposure( ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, PARAMCD, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette( - display_vars = - c(get_admiral_option("subject_keys"), exprs( - VISIT, - PARCAT1, PARAMCD, AVAL, ASTDT, AENDT - )) - ) + dataset_vignette(display_vars = exprs( + USUBJID, VISIT, + PARCAT1, PARAMCD, AVAL, ASTDT, AENDT + )) ``` @@ -447,7 +442,7 @@ adex <- adex %>% ) ), dataset_add = adex, - by_vars = c(get_admiral_option("subject_keys"), adsl_vars) + by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars) ) count(adex, PARAMCD, PARCAT1) @@ -457,11 +452,9 @@ count(adex, PARAMCD, PARCAT1) ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, PARAMCD, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = c( - get_admiral_option("subject_keys"), exprs( - VISIT, - PARCAT1, PARAMCD, AVAL, AVALC, ASTDT, AENDT - ) + dataset_vignette(display_vars = exprs( + USUBJID, VISIT, + PARCAT1, PARAMCD, AVAL, AVALC, ASTDT, AENDT )) ``` @@ -473,7 +466,7 @@ specified in the `by_vars` argument will be populated in this new record. ```{r eval=TRUE, echo=TRUE} adex <- adex %>% derive_param_doseint( - by_vars = c(get_admiral_option("subject_keys"), adsl_vars), + by_vars = exprs(STUDYID, USUBJID, !!!adsl_vars), set_values_to = exprs(PARAMCD = "TNDOSINT"), tadm_code = "TDOSE", tpadm_code = "TPDOSE" @@ -484,11 +477,9 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c( - get_admiral_option("subject_keys"), exprs( - VISIT, EXSTDTC, EXENDTC, - PARCAT1, PARAMCD, AVAL, ASTDT, AENDT - ) + display_vars = exprs( + USUBJID, VISIT, EXSTDTC, EXENDTC, + PARCAT1, PARAMCD, AVAL, ASTDT, AENDT ) ) ``` @@ -576,7 +567,7 @@ adex <- adex %>% ```{r, eval=TRUE, echo=FALSE} adex %>% arrange(USUBJID, AVALCAT1, PARCAT1, VISIT, EXSTDTC, EXENDTC) %>% - dataset_vignette(display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, PARCAT1, PARAMCD, AVAL, AVALCAT1))) + dataset_vignette(display_vars = exprs(USUBJID, VISIT, PARCAT1, PARAMCD, AVAL, AVALCAT1)) ``` ## Assign `ASEQ` {#aseq} @@ -588,7 +579,7 @@ example call is: adex <- derive_var_obs_number( adex, new_var = ASEQ, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(STUDYID, USUBJID), order = exprs(PARCAT1, ASTDT, VISIT, VISITNUM, EXSEQ, PARAMN), check_type = "error" ) @@ -597,7 +588,7 @@ adex <- derive_var_obs_number( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adex, - display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, ASEQ)) + display_vars = exprs(USUBJID, VISIT, PARCAT1, PARAMCD, AVAL, ASTDT, ASEQ) ) ``` @@ -609,7 +600,7 @@ If needed, the other `ADSL` variables can now be added: adex <- adex %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(STUDYID, USUBJID) ) ``` ## Add Labels and Attributes {#attributes} diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index 7f7e4fc092..f7588bf774 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -86,14 +86,14 @@ advs <- derive_vars_merged( vs, dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VSDTC, VISIT, TRTSDT, TRTEDT, TRT01A, TRT01P)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, VSDTC, VISIT, TRTSDT, TRTEDT, TRT01A, TRT01P), filter = VSTESTCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -113,7 +113,7 @@ advs <- derive_vars_dt(advs, new_vars_prefix = "A", dtc = VSDTC) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, VSDTC, ADT)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, VSDTC, ADT), filter = VSTESTCD == "DIABP" ) ``` @@ -147,7 +147,7 @@ advs <- derive_vars_dt( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, VSDTC, ADT, ADTF)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, VSDTC, ADT, ADTF), filter = USUBJID == "01-716-1024" ) ``` @@ -188,7 +188,7 @@ advs <- ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, ADT, ADY, TRTSDT)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, ADT, ADY, TRTSDT), filter = USUBJID == "01-716-1024" ) ``` @@ -243,9 +243,9 @@ advs <- derive_vars_merged_lookup( ``` ```{r, eval=TRUE, echo=FALSE} -advs_param <- distinct(advs, STUDYID, USUBJID, PARAMCD, VSTESTCD) +advs_param <- distinct(advs, USUBJID, PARAMCD, VSTESTCD) -dataset_vignette(advs_param, display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, PARAMCD))) +dataset_vignette(advs_param, display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], VSTESTCD, PARAMCD)) ``` Please note, it may be necessary to include other variables in the join. For @@ -293,7 +293,7 @@ Example 3 in section below [Derive New Rows](#additional) for alternative way of ```{r eval=TRUE} advs <- derive_param_map( advs, - by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "MAP"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT) @@ -314,28 +314,28 @@ Likewise, function call below, to create parameter `Body Surface Area` (BSA) and ```{r eval=TRUE} advs <- derive_param_bsa( advs, - by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), method = "Mosteller", set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = get_admiral_option("subject_keys") + constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) ) advs <- derive_param_bmi( advs, - by_vars = c(get_admiral_option("subject_keys"), adsl_vars, exprs(VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), !!!adsl_vars, VISIT, VISITNUM, ADT, ADY, VSTPT, VSTPTNUM), set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = get_admiral_option("subject_keys") + constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs, USUBJID, VISITNUM, VSTPTNUM, ADT, PARAMCD), - display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, PARAMCD, VISIT, VSTPT, AVAL)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VSTESTCD, PARAMCD, VISIT, VSTPT, AVAL), filter = PARAMCD %in% c("BSA", "BMI") ) ``` @@ -354,7 +354,7 @@ adeg <- tibble::tribble( adeg <- derive_param_qtc( adeg, - by_vars = c(get_admiral_option("subject_keys"), exprs(VISIT)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT), method = "Fridericia", set_values_to = exprs(PARAMCD = "QTCFR"), get_unit_expr = EGSTRESU @@ -375,7 +375,7 @@ adlb <- tibble::tribble( derive_param_wbc_abs( dataset = adlb, - by_vars = c(get_admiral_option("subject_keys"), exprs(VISIT)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT), set_values_to = exprs( PARAMCD = "LYMPH", PARAM = "Lymphocytes Abs (10^9/L)", @@ -460,7 +460,7 @@ advs <- derive_var_ontrtfl( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ADT, TRTSDT, TRTEDT, ONTRTFL)), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, TRTSDT, TRTEDT, ONTRTFL), filter = PARAMCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -515,10 +515,10 @@ and `ref_end_date = AP01EDT`. advs_pre <- select(advs, -ONTRTFL) advs <- tibble::tribble( - ~STUDYID, ~USUBJID, ~ASTDT, ~AP01SDT, ~AP01EDT, ~AENDT, - "odr_1", "P01", ymd("2020-03-15"), ymd("2020-01-01"), ymd("2020-03-01"), ymd("2020-12-01"), - "odr_1", "P02", ymd("2019-04-30"), ymd("2020-01-01"), ymd("2020-03-01"), ymd("2020-03-15"), - "odr_1", "P03", ymd("2019-04-30"), ymd("2020-01-01"), ymd("2020-03-01"), NA, + ~USUBJID, ~ASTDT, ~AP01SDT, ~AP01EDT, ~AENDT, + "P01", ymd("2020-03-15"), ymd("2020-01-01"), ymd("2020-03-01"), ymd("2020-12-01"), + "P02", ymd("2019-04-30"), ymd("2020-01-01"), ymd("2020-03-01"), ymd("2020-03-15"), + "P03", ymd("2019-04-30"), ymd("2020-01-01"), ymd("2020-03-01"), NA, ) ``` @@ -533,11 +533,10 @@ advs <- derive_var_ontrtfl( span_period = TRUE ) ``` - ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(ASTDT, AENDT, AP01SDT, AP01EDT, ONTR01FL)) + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], ASTDT, AENDT, AP01SDT, AP01EDT, ONTR01FL) ) ``` @@ -575,7 +574,7 @@ advs <- derive_var_anrind(advs) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVAL, ANRLO, ANRHI, A1LO, A1HI, ANRIND)), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, AVAL, ANRLO, ANRHI, A1LO, A1HI, ANRIND), filter = PARAMCD == "DIABP" & VISIT == "WEEK 2" ) ``` @@ -616,7 +615,7 @@ advs <- restrict_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD), order = exprs(ADT, ATPTN, VISITNUM), new_var = ABLFL, mode = "last" @@ -628,7 +627,7 @@ advs <- restrict_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD, ADT, TRTSDT, ATPTN, TRTSDT, ABLFL)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ADT, TRTSDT, ATPTN, TRTSDT, ABLFL), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "BASELINE") ) ``` @@ -642,14 +641,14 @@ Lastly, the `BASE`, and `BNRIND` columns can be derived using the `{admiral}` f ```{r eval=TRUE} advs <- derive_var_base( advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = AVAL, new_var = BASE ) advs <- derive_var_base( advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, BASETYPE)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, BASETYPE), source_var = ANRIND, new_var = BNRIND ) @@ -658,7 +657,7 @@ advs <- derive_var_base( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD, ABLFL, BASE, ANRIND, BNRIND)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, ABLFL, BASE, ANRIND, BNRIND), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "BASELINE") ) ``` @@ -679,7 +678,7 @@ advs <- derive_var_pchg(advs) ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, BASE, AVAL, CHG, PCHG)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, BASE, AVAL, CHG, PCHG), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -729,7 +728,7 @@ advs <- derive_var_analysis_ratio(advs, ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, BASE, AVAL, ANRLO, R2BASE, R01ANRLO)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, BASE, AVAL, ANRLO, R2BASE, R01ANRLO), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -755,7 +754,7 @@ advs <- restrict_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD, AVISIT)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), order = exprs(ADT, ATPTN, AVAL), new_var = ANL01FL, mode = "last" @@ -767,7 +766,7 @@ advs <- restrict_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVISIT, ATPTN, ADT, AVAL, ANL01FL)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, ATPTN, ADT, AVAL, ANL01FL), filter = PARAMCD == "DIABP" & VISIT %in% c("WEEK 2", "WEEK 8") ) ``` @@ -782,7 +781,7 @@ advs <- slice_derivation( advs, derivation = derive_var_extreme_flag, args = params( - by_vars = c(get_admiral_option("subject_keys"), exprs(BASETYPE, PARAMCD, AVISIT)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), BASETYPE, PARAMCD, AVISIT), order = exprs(ADT, ATPTN), new_var = WORSTFL, mode = "first" @@ -802,7 +801,7 @@ advs <- slice_derivation( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVISIT, AVAL, ADT, ATPTN, WORSTFL)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, AVISIT, AVAL, ADT, ATPTN, WORSTFL), filter = USUBJID == "01-701-1015" & WORSTFL == "Y" ) ``` @@ -833,7 +832,7 @@ example call is: advs <- derive_var_obs_number( advs, new_var = ASEQ, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN), check_type = "error" ) @@ -842,7 +841,7 @@ advs <- derive_var_obs_number( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ADT, AVISITN, ATPTN, VISIT, ADT, ASEQ)), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, ATPTN, VISIT, ADT, ASEQ), filter = USUBJID == "01-701-1015" ) ``` @@ -878,7 +877,7 @@ advs <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, AVAL, AVALCA1N, AVALCAT1)), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, AVAL, AVALCA1N, AVALCAT1), filter = PARAMCD == "HEIGHT" ) ``` @@ -891,14 +890,14 @@ List of ADSL variables already merged held in vector `adsl_vars` advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( advs, - display_vars = c(get_admiral_option("subject_keys"), exprs(RFSTDTC, RFENDTC, DTHDTC, DTHFL, AGE, AGEU)), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], RFSTDTC, RFENDTC, DTHDTC, DTHFL, AGE, AGEU), filter = USUBJID == "01-701-1015" ) ``` @@ -925,7 +924,7 @@ assign a unique `AVISITN` value. advs_ex1 <- advs %>% derive_extreme_records( dataset_add = advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(ADT, AVISITN, ATPTN, AVAL), mode = "last", filter_add = (4 < AVISITN & AVISITN <= 12 & ANL01FL == "Y"), @@ -940,7 +939,7 @@ advs_ex1 <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex1, USUBJID, PARAMCD, desc(AVISITN), ATPTN), - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL)), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL), filter = USUBJID == "01-701-1015" & ANL01FL == "Y" ) ``` @@ -955,7 +954,7 @@ and assign a unique `AVISITN` value. advs_ex1 <- advs %>% derive_extreme_records( dataset_add = advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD), order = exprs(AVAL, ADT, AVISITN, ATPTN), mode = "first", filter_add = (4 < AVISITN & AVISITN <= 12 & ANL01FL == "Y" & !is.na(AVAL)), @@ -970,7 +969,7 @@ advs_ex1 <- advs %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex1, USUBJID, PARAMCD, desc(AVISITN), ATPTN), - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL)), + display_vars = exprs(!!get_admiral_option("subject_keys")[[2]], PARAMCD, ADT, AVISITN, AVISIT, ATPTN, AVAL, DTYPE, ANL01FL), filter = USUBJID == "01-701-1015" & ANL01FL == "Y" ) ``` @@ -989,7 +988,7 @@ Set `DTYPE` to `AVERAGE`. advs_ex2 <- derive_summary_records( advs, dataset_add = advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, VISITNUM, ADT)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT), set_values_to = exprs( AVAL = mean(AVAL, na.rm = TRUE), DTYPE = "AVERAGE" @@ -1000,7 +999,7 @@ advs_ex2 <- derive_summary_records( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex2, USUBJID, PARAMCD, VISITNUM, ADT, DTYPE), - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, VISITNUM, ADT, AVAL, DTYPE)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISITNUM, ADT, AVAL, DTYPE), filter = USUBJID == "01-701-1015" ) ``` @@ -1017,7 +1016,7 @@ Below is an example of creating `Mean Arterial Pressure` ```{r eval=TRUE} advs_ex3 <- derive_param_computed( advs, - by_vars = c(get_admiral_option("subject_keys"), exprs(VISIT, ATPT)), + by_vars = exprs(!!!get_admiral_option("subject_keys"), VISIT, ATPT), parameters = c("SYSBP", "DIABP"), set_values_to = exprs( AVAL = (AVAL.SYSBP - AVAL.DIABP) / 3 + AVAL.DIABP, @@ -1030,7 +1029,7 @@ advs_ex3 <- derive_param_computed( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( arrange(advs_ex3, !!!get_admiral_option("subject_keys"), VISIT, ATPT, PARAMCD), - display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, VISIT, ATPT, AVAL)), + display_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, VISIT, ATPT, AVAL), filter = USUBJID == "01-701-1015" & PARAMCD %in% c("MAP2", "SYSBP", "DIABP") ) ``` diff --git a/vignettes/concepts_conventions.Rmd b/vignettes/concepts_conventions.Rmd index 0b4da57e73..a29b3ab531 100644 --- a/vignettes/concepts_conventions.Rmd +++ b/vignettes/concepts_conventions.Rmd @@ -133,7 +133,7 @@ derive_vars_merged( adsl, dataset_add = ex, filter_add = !is.na(EXENDTM), - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs( TRTEDTM = EXENDTM, TRTETMF = EXENTMF, @@ -189,7 +189,7 @@ adcm <- data.frame(STUDYID = "XXX", USUBJID = "XXX-1", CMTRT = "ASPIRIN") adcm # This doesn't work as we are not unquoting the subject keys -adcm %>% select(get_admiral_option("subject_keys")) +adcm %>% select(!!!get_admiral_option("subject_keys")) # This works because we are unquoting the subject keys adcm %>% select(!!!get_admiral_option("subject_keys")) @@ -214,18 +214,18 @@ library(dplyr, warn.conflicts = FALSE) library(admiral) vs <- tribble( - ~USUBJID, ~VSTESTCD, ~VISIT, ~VSSTRESN, ~VSSTRESU, ~VSDTC, - "01-1301", "WEIGHT", "SCREENING", 82.1, "kg", "2013-08-29", - "01-1301", "WEIGHT", "WEEK 2", 81.19, "kg", "2013-09-15", - "01-1301", "WEIGHT", "WEEK 4", 82.56, "kg", "2013-09-24", - "01-1302", "BMI", "SCREENING", 20.1, "kg/m2", "2013-08-29", - "01-1302", "BMI", "WEEK 2", 20.2, "kg/m2", "2013-09-15", - "01-1302", "BMI", "WEEK 4", 19.9, "kg/m2", "2013-09-24" +~STUDYID, ~USUBJID, ~VSTESTCD, ~VISIT, ~VSSTRESN, ~VSSTRESU, ~VSDTC, + "dmog_1", "01-1301", "WEIGHT", "SCREENING", 82.1, "kg", "2013-08-29", + "dmog_1", "01-1301", "WEIGHT", "WEEK 2", 81.19, "kg", "2013-09-15", + "dmog_1", "01-1301", "WEIGHT", "WEEK 4", 82.56, "kg", "2013-09-24", + "dmog_1", "01-1302", "BMI", "SCREENING", 20.1, "kg/m2", "2013-08-29", + "dmog_1", "01-1302", "BMI", "WEEK 2", 20.2, "kg/m2", "2013-09-15", + "dmog_1", "01-1302", "BMI", "WEEK 4", 19.9, "kg/m2", "2013-09-24" ) dm <- tribble( - ~USUBJID, ~AGE, - "01-1301", 18 +~STUDYID, ~USUBJID, ~AGE, +"dmog_1", "01-1301", 18 ) ``` @@ -240,9 +240,9 @@ my_expression <- expr(VSTESTCD == "WEIGHT" & VISIT == "SCREENING") derive_vars_merged( dm, - dataset_add = select(vs, USUBJID, VSTESTCD, VISIT), - by_vars = exprs(USUBJID), - filter_add = my_expression + dataset_add = select(vs, !!!get_admiral_option("subject_keys"), VSTESTCD, VISIT), + by_vars = get_admiral_option("subject_keys"), + filter_add = !!my_expression ) ``` @@ -252,8 +252,8 @@ to `derive_vars_merged()`: ```{r, eval = TRUE, error = FALSE} derive_vars_merged( dm, - dataset_add = select(vs, USUBJID, VSTESTCD, VISIT), - by_vars = exprs(USUBJID), + dataset_add = select(vs, !!!get_admiral_option("subject_keys"), VSTESTCD, VISIT), + by_vars = get_admiral_option("subject_keys"), filter_add = !!my_expression ) ``` @@ -268,8 +268,8 @@ expressions delay evaluation of code and so 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GitHub Usage} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + + +# Introduction + +This article will give you an overview of how the `{admiral}` project is utilizing the version-control software `git` and the website GitHub while working with RStudio. We will go over the primary branches that house the source code for the `{admiral}` project as well as how we use **Feature** branches to address **Issues**. Issues can range from bugs to enhancements that have been identified or requested by developers, users or testers. We also provide the bare minimum of `git` commands needed to get up and running. Please refer to the [Resource](#github_resources) section for more in-depth guidance on using `git` and GitHub. + +# Branches + +- The `main` branch contains the latest development version of the package. You can find the released versions [here](https://GitHub.com/pharmaverse/admiral/releases) +- The `gh-pages` branches contains the code used to render R package websites - you are looking at right now! +- The `patch` branch is reserved for special hot fixes to address bugs and should rarely be used. More info in [Hot Fix Release](release_strategy.html#hot-fix-release) +- The `main`, `gh-pages`, `patch` branches are under protection. If you try and push changes to these branches you will get an error unless you are an administrator. + +- **Feature** branches are where actual development related to a specific issue happens. Feature branches are merged into `main` once a pull request is merged. Check out the [Pull Request Review Guidance](pr_review_guidance.html) for more guidance on merging into `main`. + +# Working with Feature Branches + +Feature Branches are where most developers will work when addressing Issues. + +## Implementing an Issue + +Each feature branch must be related to an issue. We encourage new developers to only work on one issue at a time. + +### Naming Branches + +The name of the branch must be prefixed with the issue number, followed by a short but meaningful description. As an example, given an issue #94 "Program function to derive `LSTALVDT`", the branch name would be `94_derive_var_lstalvdt`. + +### Create a New Feature Branch from the Terminal (from `main`) + +- Checkout the main branch: `git checkout main` +- Pull the latest changes from GitHub: `git pull` +- Create a new branch off the main branch and switch to it: `git checkout -b ` + +### Create a New Feature Branch from GitHub (from `main`) + +You can also create a feature branch in GitHub. + +- Switch to the `main` branch +- Type in your new feature branch name +- Click Create branch: `@main` from `main` +- Be Sure to Pull down newly created branch into RStudio + +```{r, echo = FALSE} +knitr::include_graphics("github_feature_branch.png", dpi = 144) +``` + + +### Commits from the Terminal in RStudio + +To start the commit process, you will need to tell `git` to move your changes to the staging area. Use `git add ` to move all changes of `` in the staging area to wait for the next commit. You can use `git add .` to move all files you have worked on to the staging area. Next you can commit, which takes a snapshot of your staged changes. When committing, prefix the message with the issue number and add a meaningful message `git commit –m '#94 last alive date implementation'`. + +Lastly, you should push your changes up to GitHub using `git push origin ` + +### Commits from the Git Tab in RStudio + +You can also make use of the Git Tab within RStudio to commit your changes. A benefit of using this Tab is being able to see your changes to the file with red and green highlighting. Just like in the terminal, start the message with the issue number and add a meaningful and succinct sentence. Hit the Commit button and then Push up to GitHub. + +```{r, echo = FALSE} +knitr::include_graphics("github_committ.png", dpi = 144) +``` + +### Commit Message Etiquette + +We require developers to **insert the issue number** into each commit message. Placing the issue number in your commit message allows reviewers to quickly find discussion surrounding your issue. When pushed to GitHub the issue number will be hyperlinked to the issue tracker, a powerful tool for discussion and traceability, which we think is valuable in a highly regulated industry like Pharma. + +Below are styles of commit messaging permitted: + +### Style 1: + +* `feat: #94 skeleton of function developed` +* `chore: #94 styler and lintr update` +* `docs: #94 parameters and details sections compelted` + +### Style 2: + +* `#94 skeleton of function developed` +* `#94 styler and lintr update` +* `#94 parameters and details sections compelted` + +### Style 3: + +* `skeleton of function developed (#94)` +* `styler and lintr update (#94)` +* `parameters and details sections compelted (#94)` + + +## Pull request + +We recommend a thorough read through of the articles, [Pull Request Review Guidance](pr_review_guidance.html) and the [Programming Strategy](programming_strategy.html) for in-depth discussions on a doing a proper Pull Request.Pull Request authors will benefit from shorter review times by closely following the guidance provided in those two articles. Below we discuss some simple `git` commands in the terminal and on GitHub for doing a Pull Request. We recommend doing the Pull Request in GitHub only and not through the terminal. + +Once all changes are committed, push the updated branch to GitHub: +`git push -u origin ` + +In GitHub, under **Pull requests**, the user will either have a "Compare and pull request" button and/or a "Create Pull Request". The first button will be created for you if GitHub detects recent changes you have made. The branch to merge with must be the `main` branch (base = `main`) and the compare branch is the new branch to merge - as shown in the below picture. Please **pay close attention** to the branch you are merging into! + + +```{r, echo = FALSE} +knitr::include_graphics("github_create_pr.png", dpi = 144) +``` + +The issue must be linked to the pull request in the "Development" field of the +Pull Request. In most cases, this will linkage will automatically close the issue and move to the Done column on our project board. + +```{r, echo = FALSE} +knitr::include_graphics("github_linked_issues_dark.png", dpi = 144) +``` + +Once you have completed the Pull Request you will see all committed changes are then available for the reviewer. A reviewer must be specified in the Pull Request. It is recommended to write a brief summary to your reviewers so they can quickly come up to speed on your Pull Request. Images of your updates are nice too, which are easy to do in GitHub! Use any Screen Capture software and Copy and Paste into your summary. + +### Reviewing/Closing an Issue + +- At least one reviewer must approve the Pull Request. Please review the [Pull +Request Review Guidance](pr_review_guidance.html), which provides in depth +guidance on doing a proper Pull Request. +- The reviewer must ensure that the function follows the programming strategy +recommendations. +- Any comment/question/discussion must be addressed and documented in GitHub +before the Pull Request is merged + +Once the review is completed, the reviewer will merge the Pull Request and the +feature branch will automatically be deleted. + +After merging the Pull Request please check that corresponding has been moved to the done column on the Project Board. Also, please make sure that the issue has closed. + + +```{r, echo = FALSE} +knitr::include_graphics("github_done.png", dpi = 144) +``` + +### Solving Merge Conflicts in the Terminal on RStudio + +Merge conflict is a situation where `git` cannot decide which changes to apply since there were multiple updates in the same part of a file. This typically happens when multiple people update the same part of code. Those conflicts always need to be handled manually (as some further code updates may be required): + +``` +git checkout main +git pull +git checkout +git merge main +``` + +This provides a list of all files with conflicts In the file with conflicts the conflicting sections are marked with `<<<<<<<`, `=======`, and `>>>>>>>`. The code between these markers must be updated and the markers be removed. Source files need to be updated manually. Generated files like NAMESPACE or the generated documentation files should not be updated manually but recreated after the source files were updated. + +To make the changes available call: + +``` +git add +git commit -m "" +git push +``` + +### Solving Merge Conflicts in GitHub + +For simple merge conflicts, developers can make use of the GitHub interface to solve them. GitHub will show the number of conflicts between the two branches. In the below image, GitHub has found 3 conflicts, but we only display the first one. Just like in the terminal, GitHub will make use of the `<<<<<<<`, `=======`, and `>>>>>>>` to highlight the conflicting sections. You will need to make the decision on whether to keep the code from the base or the feature branch. Once you have decided, go into the code and remove the section you no longer wish to keep. Be sure to remove the `<<<<<<<`, `=======`, and `>>>>>>>` as well! Once you work through the conflicts you will mark as **Resolved and Commit your changes**. It is recommended to pull your branch back down to RStudio to make sure no untoward effects have happen to your branch. + +```{r, echo = FALSE} +knitr::include_graphics("github_conflicts.png", dpi = 144) +``` + + +## Useful `git` Commands + +- merging: `git merge ` - merge my_branch into current branch +- The stashing commands are useful when one wants to go back to clean directory +- `git stash` - stash (store) current changes and restore a clean directory +- `git stash pop` - put back (restore) stashed changes +- `git revert` is also helpful but why? + +**Using code from unmerged branches** + +- Checkout the unmerged branch you want to use: `git checkout ` +- Pull the latest committed changes from the unmerged branch: `git pull` +- Check out your feature branch: `git checkout ` +- Merge the unmerged branch to : `git merge ` + +# Resources on using `git`, GitHub and RStudio {#github_resources} + +* [GitHub and RStudio](https://resources.github.com/whitepapers/github-and-rstudio/) +* 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zc6uJKP#ve8{=5%s?tp(h{{+*p;)AfsC^LE$`G3IkPuixrbk&IwRyf~-xx%TH>$Vc) zQA0z%x^BxNNg-8u#RoXuR0-qf;3IGXf|AEpxN2Nl>TI!lK-J89vrxl+kRj`XtX z8cvSdbJu~inik^oO-?FT;b9%pzNPxa+fk^ziS<_p@x8=7CtXP)OI6BkZnabGA&Z>C zCH_&0Y2ba|g#z+b_f=c2mjOb)fs@Ax2Onuz$bavnV_}ioOP3nm3~cifyvstM&*Py_ zF}JdQy+#8g0y-0mi`x4!4rEj0f1L9q4kA)2O(rSaOuAeHr({$5Ql{r7XImpERZ zzMVw9{HRl%r(JQ(n^at#i-@Z>1AJMcL0YQQz__So7W-wwUw4(NqLxC* + %\VignetteIndexEntry{Vignette Title} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +Vignettes are long form documentation commonly included in packages. Because they are part of the distribution of the package, they need to be as compact as possible. The `html_vignette` output type provides a custom style sheet (and tweaks some options) to ensure that the resulting html is as small as possible. The `html_vignette` format: + +- Never uses retina figures +- Has a smaller default figure size +- Uses a custom CSS stylesheet instead of the default Twitter Bootstrap style + +## Vignette Info + +Note the various macros within the `vignette` section of the metadata block above. These are required in order to instruct R how to build the vignette. Note that you should change the `title` field and the `\VignetteIndexEntry` to match the title of your vignette. + +## Styles + +The `html_vignette` template includes a basic CSS theme. To override this theme you can specify your own CSS in the document metadata as follows: + + output: + rmarkdown::html_vignette: + css: mystyles.css + +## Figures + +The figure sizes have been customised so that you can easily put two images side-by-side. + +```{r, fig.show='hold'} +plot(1:10) +plot(10:1) +``` + +You can enable figure captions by `fig_caption: yes` in YAML: + + output: + rmarkdown::html_vignette: + fig_caption: yes + +Then you can use the chunk option `fig.cap = "Your figure caption."` in **knitr**. + +## More Examples + +You can write math expressions, e.g. $Y = X\beta + \epsilon$, footnotes^[A footnote here.], and tables, e.g. using `knitr::kable()`. + +```{r, echo=FALSE, results='asis'} +knitr::kable(head(mtcars, 10)) +``` + +Also a quote using `>`: + +> "He who gives up [code] safety for [code] speed deserves neither." +([via](https://twitter.com/hadleywickham/status/504368538874703872)) diff --git a/vignettes/hys_law.Rmd b/vignettes/hys_law.Rmd index 333bf59196..2befb8a63a 100644 --- a/vignettes/hys_law.Rmd +++ b/vignettes/hys_law.Rmd @@ -86,7 +86,7 @@ adlb_annotated <- adlb %>% NA_character_ ) ) %>% - select(STUDYID, USUBJID, TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) + select(!!!get_admiral_option("subject_keys"), TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) ``` ```{r, echo = FALSE} @@ -141,11 +141,11 @@ Additional modifications can be made such as: ```{r} hylaw_records_pts_visits <- hylaw_records %>% - select(STUDYID, USUBJID, TRT01A) %>% # add AVISIT, ADT for by visit + select(!!!get_admiral_option("subject_keys"), TRT01A) %>% # add AVISIT, ADT for by visit distinct() hylaw_records_fls <- hylaw_records %>% - select(STUDYID, USUBJID, TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit + select(!!!get_admiral_option("subject_keys"), TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit distinct() hylaw_params <- derive_param_exist_flag( diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index 0b4e7b4eb3..c07d34b71b 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -79,17 +79,17 @@ adae <- derive_vars_merged( ae, dataset_add = adsl, new_vars = adsl_vars, - by_vars = get_admiral_option("subject_keys") + by = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c(get_admiral_option("subject_keys"), exprs( - AESEQ, AETERM, AESTDTC, TRTSDT, + display_vars = exprs( + !!!get_admiral_option("subject_keys"), AESEQ, AETERM, AESTDTC, TRTSDT, TRTEDT, TRT01A, TRT01P, DTHDT, EOSDT - )) + ) ) ``` @@ -127,12 +127,9 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c( - get_admiral_option("subject_keys"), - exprs( - AESTDTC, AEENDTC, ASTDTM, ASTDT, - ASTDY, AENDTM, AENDT, AENDY - ) + display_vars = exprs( + !!!get_admiral_option("subject_keys"), AESTDTC, AEENDTC, ASTDTM, ASTDT, + ASTDY, AENDTM, AENDT, AENDY ) ) ``` @@ -157,12 +154,9 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c( - get_admiral_option("subject_keys"), - exprs( - AESTDTC, AEENDTC, ASTDT, AENDT, - ADURN, ADURU - ) + display_vars = exprs( + !!!get_admiral_option("subject_keys"), AESTDTC, AEENDTC, ASTDT, AENDT, + ADURN, ADURU ) ) ``` @@ -245,7 +239,7 @@ ex_single <- derive_vars_dtm( adae <- derive_vars_joined( adae, ex_single, - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!!get_admiral_option("subject_keys")), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -259,12 +253,9 @@ adae <- derive_vars_joined( ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c( - get_admiral_option("subject_keys"), - exprs( - AEDECOD, AESEQ, AESTDTC, AEENDTC, - ASTDT, AENDT, LDOSEDTM - ) + display_vars = exprs( + !!!get_admiral_option("subject_keys"), AEDECOD, AESEQ, AESTDTC, AEENDTC, + ASTDT, AENDT, LDOSEDTM ) ) ``` @@ -300,12 +291,9 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c( - get_admiral_option("subject_keys"), - exprs( - TRTSDT, TRTEDT, AESTDTC, ASTDT, - TRTEMFL - ) + display_vars = exprs( + !!!get_admiral_option("subject_keys"), TRTSDT, TRTEDT, AESTDTC, ASTDT, + TRTEMFL ) ) ``` @@ -417,9 +405,8 @@ adae <- adae %>% ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c( - get_admiral_option("subject_keys"), - exprs(ASTDTM, ASEV, AESEQ, TRTEMFL, AOCCIFL) + display_vars = exprs( + !!!get_admiral_option("subject_keys"), ASTDTM, ASEV, AESEQ, TRTEMFL, AOCCIFL ) ) ``` @@ -498,18 +485,16 @@ If needed, the other `ADSL` variables can now be added: adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = get_admiral_option("subject_keys") + by_vars = exprs(!!!get_admiral_option("subject_keys")) ) ``` ```{r, eval=TRUE, echo=FALSE} dataset_vignette( adae, - display_vars = c( - get_admiral_option("subject_keys"), exprs( - AEDECOD, ASTDTM, DTHDT, RFSTDTC, - RFENDTC, AGE, AGEU, SEX - ) + display_vars = exprs( + !!!get_admiral_option("subject_keys"), AEDECOD, ASTDTM, DTHDT, RFSTDTC, + RFENDTC, AGE, AGEU, SEX ) ) ``` @@ -522,17 +507,17 @@ For example, there can be multiple records present in `ADCM` for a single subjec ``` {r eval=TRUE, echo=TRUE} adcm <- tibble::tribble( - ~STUDYID, ~USUBJID, ~ASTDTM, ~CMSEQ, ~CMDECOD, ~ATC1CD, ~ATC2CD, ~ATC3CD, ~ATC4CD, - "xyz112", "BP40257-1001", "2013-07-05 UTC", "14", "PARACETAMOL", "N", "N02", "N02B", "N02BE", - "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D10", "D10A", "D10AA", - "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D07", "D07A", "D07AA", - "xyz112", "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "H", "H02", "H02A", "H02AB", - "xyz112", "BP40257-1002", "2012-12-15 UTC", "19", "SPIRONOLACTONE", "C", "C03", "C03D", "C03DA" + ~USUBJID, ~ASTDTM, ~CMSEQ, ~CMDECOD, ~ATC1CD, ~ATC2CD, ~ATC3CD, ~ATC4CD, + "BP40257-1001", "2013-07-05 UTC", "14", "PARACETAMOL", "N", "N02", "N02B", "N02BE", + "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D10", "D10A", "D10AA", + "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "D", "D07", "D07A", "D07AA", + "BP40257-1001", "2013-08-15 UTC", "18", "SOLUMEDROL", "H", "H02", "H02A", "H02AB", + "BP40257-1002", "2012-12-15 UTC", "19", "SPIRONOLACTONE", "C", "C03", "C03D", "C03DA" ) adcm_aseq <- adcm %>% derive_var_obs_number( - by_vars = get_admiral_option("subject_keys"), + by_vars = exprs(!!get_admiral_option("subject_keys")[[2]]), order = exprs(ASTDTM, CMSEQ, ATC1CD, ATC2CD, ATC3CD, ATC4CD), new_var = ASEQ, check_type = "error" diff --git a/vignettes/package_extensions.Rmd b/vignettes/package_extensions.Rmd new file mode 100644 index 0000000000..e3eb1ae646 --- /dev/null +++ b/vignettes/package_extensions.Rmd @@ -0,0 +1,115 @@ +--- +title: "Package Extensions" +output: + rmarkdown::html_vignette + +vignette: > + %\VignetteIndexEntry{Package Extensions} + %\VignetteEngine{knitr::rmarkdown} + +--- + +```{css, echo = FALSE} +.github-button { + display: inline-block; + padding: 2px 5px; + background-color: #e5e5e5; + color: #333; + border: 0px solid #ccc; + border-radius: 20px; + font-size: 1em; + margin: 0 0px; +} + +.github-button.firstissue { + background-color: #7057FF; + color: #fff; +} + +.github-button.helpwanted { + background-color: #008672; + color: #fff; +} + +``` + + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +## Introduction + +`{admiral}` is made up of a family of packages and we foresee this only growing over time to cover more specific areas such as TA (Therapeutic Area) package extensions, with a wider range of companies and individuals getting on board to join development efforts. This step-by-step guidance talks through our recommendations on how new development teams would go about creating such package extensions. It is critical that this guidance is followed, as our users need to feel a consistent experience when working across `{admiral}` packages. If an `{admiral}` package extension doesn't follow these conventions then we wouldn't include it under pharmaverse and as part of the `{admiral}` family. + +## Step-by-step Guidance to Create a Package Extension +_Note: The ordering numbers below are suggested but don't all need to strictly be followed in this sequence._ + +1. Raise the need for a new `{admiral}` package extension on the `{admiral}` [Slack channel](https://app.slack.com/client/T028PB489D3/C02M8KN8269), or directly with the `{admiral}` package maintainer. The naming convention needs to be `{admiralxxx}` and we request that the scope is not targeted overly narrow, for example instead of a package extension for HIV we'd prefer one across virology. Otherwise the number of packages may become unmanageable. + +1. Once agreed, reach out to other company contacts working in similar areas to see if a collaborative development can be achieved. _Our recommendation here is always to target at least 2 companies to start so that any implementation remains robust and we protect from going down a company-specific route. However, consider that if more than 4 or 5 companies get involved too early it may slow down decision-making._ + +1. From the companies that agree to co-develop, identify a lead from each. One company should act as the driver for the overall package extension and put forward a product owner and technical lead who ultimately have final say on any contentious decisions. The product owner would cover project decisions (e.g. around scope and priorities), whereas the technical lead would cover technical decisions (e.g. around design and implementation). _The technical lead should either: a) already be significantly involved in the `{admiral}` core development team as a developer/contributor, or b) join the core development team simultaneously._ This is so as to ensure that the design is kept true to the manifesto and of consistent style and quality with respect to `{admiral}` standards. + +1. Agree on a charter and expectations of each company, e.g. we usually ask for at least 3 developers with at least 25% capacity and a mix of R, GitHub and TA experience. Within the charter make sure the scope and timelines are clear. _It is important here not to try to boil the ocean. Focus first on the very common endpoints required as a foundation and then the package can build up from here via contributions from both the co-development companies and also the wider across-industry admiral community. If useful, the `{admiralonco}` charter could be shared as a guide._ + +1. Each company should start to identify the required developer resources. Then each developer is required to complete the `{admiral`} [dummy issue for onboarding](https://github.com/pharmaverse/admiral/issues/1839), as well as reading up on the [admiraldev documentation](https://pharmaverse.github.io/admiraldev/index.html), - especially the developer guides, which all need to be followed for package extensions. + +![Dummy issue for new developers](https://github.com/pharmaverse/admiraldev/raw/main/vignettes/dummy_issue.png){width=100%} + +1. Optionally it can be useful to host a kick-off meeting to decide how the team will work, for which we recommend agile/scrum practices. + +1. Set up a "admiralxxx_dev" channel on Slack to add all team members to for informal team chat, and agree a way to share working documents across the co-development team. We recommend to use a new folder on the pharmaverse MS Teams - Michael Rimler (michael.s.rimler@gsk.com) could help with this as our rep on the PHUSE board. + +1. A useful starter development activity could be to look into `{pharmaversesdtm}` to check that the test data there is sufficient for your TA needs, e.g. for `{admiralonco}` we had to generate new test data for SDTM domains such as RS and TU. Note that no personal data should be used here (even if anonymized) and it is important to keep any data generated in-line with the CDISC pilot data we use here, i.e. use same USUBJIDs as DM etc. + +1. Optionally draft, agree and sign a collaboration agreement if the collaborating companies so wish, as this could be useful for protecting secondary IP such as company standard specifications that may be shared within the team. An example is stored [here](https://github.com/pharmaverse/pharmaverse/blob/main/content/contribute/Pharmaverse%20Collaborative%20Agreement%20(template).docx), but work with your Legal teams as required. + +1. Share company-specific implementations and specifications to be able to harmonize into your design strategy for the package extension. _Here it is important to remain pragmatic and consider a higher perspective than any one company. Engage your company standards representatives and where you find discrepancies across company approaches then question if you really need to be doing things differently here (do health authorities or patients benefit at all if you do?). Also consider that we always expect a level of company-specifics to be covered in the internal company package extensions._ + +1. Set up a new public GitHub repo under the [pharmaverse org](https://github.com/pharmaverse) using [admiraltemplate](https://github.com/pharmaverse/admiraltemplate) - this includes set-up pieces (such as CI/CD checks and issue/PR templates) that will enable your package to stay consistent with others in the admiral family, as well as the same core package dependencies and versions. See the `{admiraltemplate}` [Quick Start Guide](https://pharmaverse.github.io/admiraltemplate/#quick-start-guide-for-template) _Note that this step requires org member access which could be granted by of the pharmaverse council reps, who are admins for this org. Also you are free to add additional package dependencies as needed assuming only reliable packages are used, but they must not depend on newer versions of other packages (always reply "no" if updates are suggested during installation)._ + + +1. Once the repo is available the technical lead could be granted admin access to this repo and then could set up a GitHub team with the same name as the package extension to assign required access for all other co-development team members. Most will only require write access, but you may choose to give the other leads admin access as well so that never a bottle-neck waiting on one person. + +1. Update the template license file in your repo by adding the co-development company names in place of Roche & GSK - for `{admiral}` package extensions we use Apache 2.0, which is our preferred permissive license. Agree with the co-development companies any required extra wording for the copyright/IP section. + +1. Set up a project board, such as [this](https://github.com/orgs/pharmaverse/projects/12), to help manage your backlog. +![admiral core project board](https://github.com/pharmaverse/admiraldev/raw/main/vignettes/project_board.png){width=100%} + +1. Assuming you work under agile/scrum, then create a product backlog, prioritize and make a sprint plan. + +1. The intention is always to re-use as much as possible from `{admiral}` core package. If you find anything additional needed for the package extension, you should first question whether it might be a common need for other TAs and if so consider instead raising an issue to `{admiral}` core. When designing new functions always try to stay aligned with the [Programming Strategy](https://pharmaverse.github.io/admiraldev/articles/programming_strategy.html). + +1. Start development of your foundational first release 0.1.0. Follow a consistent [Development Process](https://pharmaverse.github.io/admiral/dev/CONTRIBUTING.html) to `{admiral}`. + +1. Line up testers from your companies and others and set expectations around when you believe a stable version would be available for user testing. You can use the admiral Slack community to raise interest to get involved. + +1. Add a pharmaverse badge to your README: https://pharmaverse.org/contribute/badges/ - needs support from a pharmaverse council rep.\ +[](https://pharmaverse.org/contribute/badges/) + +1. Raise an `{admiral}` repo issue to ensure your package extension site is linked from the core `{admiral}` site here [here](https://pharmaverse.github.io/admiral/).` + +1. It is important that the `{admiral}` family of packages keep to a similar release schedule and cadence, in order to ease adoption by our users and to give clear expectations. The `{admiral}` core package cadence of releases is one every quarter on a fixed schedule (every first Monday of the last month of a quarter - March, June, September, December). The core package will set the release schedule for the package extensions to follow, i.e. once `{admiral}` releases we'd expect package extension releases targeted within a 2 week window. These releases are communicated via our Slack channel as well as at our quarterly user community meetings. + +1. Once you are happy your package extension has been well tested and is at a sufficient state then make a submission to CRAN. The technical lead should be named as maintainer. After the CRAN release, you should advertise this via Slack & LinkedIn. + + +1. Plan any future further enhancements and make issues. When your team feels ready you can open up to development contributions for these from the wider community - see [this page](https://pharmaverse.github.io/admiral/). Please use the good first issue (ideal for new starters) & help wanted (ideal for more experienced contributors) issue labels. + +**Note**: the core `{admiral}` team will carry out periodic reviews of of the extension package contents to ensure nothing is duplicated and ensure standards and best practices are followed. The frequency of these reviews is to be agreed upon by the technical leads of the core and extension packages. + +## Lessons Learned + +These are some of the lessons learned from previous package extensions: + +* Since ADaM is conceived as TA-agnostic, and TA standards can widely differ across companies, TA package extensions shouldn't contain many new functions. That is, most functionality required to create and ADaM should be present in `{admiral}`, with localized and limited exceptions for truly TA-specific variables/endpoints. As such, _the R folder in package extensions should be relatively lean_! + +* Connected to the above, a package extension is more than just R functions - it is also vignettes examples and template programs. In fact, these are just as important as the R functions itself, because that is what the users will turn to for guidance. + +* Making sure the package is always up-to-date with respect to new `{admiral}` releases (e.g. due to the deprecation of functions) is a crucial task. Maintaining the package long-term is the only way to ensure its success. + +* _Beware of developing just for the sake of developing!_ You may find that you reach a point of stasis in your extension package journey, where there is not much need for new development. In that case, it vital to avoid working on tangential tasks. Instead, the focus should be on ensuring that existing is as fit-for-purpose as possible. diff --git a/vignettes/pk_adnca.Rmd b/vignettes/pk_adnca.Rmd index 6c1416e583..11815b7056 100644 --- a/vignettes/pk_adnca.Rmd +++ b/vignettes/pk_adnca.Rmd @@ -541,13 +541,13 @@ the dosing records up to that date. # Derive Relative Time Variables adpc_arrlt <- bind_rows(adpc_nom_next, ex_exp) %>% - group_by(USUBJID, DRUG) %>% + group_by(!!!get_admiral_option("subject_keys"), DRUG) %>% mutate( FANLDTM = min(FANLDTM, na.rm = TRUE), min_NFRLT = min(NFRLT_prev, na.rm = TRUE), maxdate = max(ADT[EVID == 0], na.rm = TRUE), .after = USUBJID ) %>% - arrange(USUBJID, ADTM) %>% + arrange(!!!get_admiral_option("subject_keys"), ADTM) %>% ungroup() %>% filter(ADT <= maxdate) %>% # Derive Actual Relative Time from First Dose (AFRLT) @@ -1115,13 +1115,13 @@ records. # Derive Relative Time Variables adppk_aprlt <- bind_rows(adppk_nom_prev, ex_exp) %>% - group_by(USUBJID, DRUG) %>% + group_by(!!!get_admiral_option("subject_keys"), DRUG) %>% mutate( FANLDTM = min(FANLDTM, na.rm = TRUE), min_NFRLT = min(NFRLT, na.rm = TRUE), maxdate = max(ADT[EVID == 0], na.rm = TRUE), .after = USUBJID ) %>% - arrange(USUBJID, ADTM) %>% + arrange(!!!get_admiral_option("subject_keys"), ADTM) %>% ungroup() %>% filter(ADT <= maxdate) %>% # Derive Actual Relative Time from First Dose (AFRLT) @@ -1363,7 +1363,7 @@ covar <- adsl %>% ) ) %>% select( - STUDYID, STUDYIDN, SITEID, SITEIDN, USUBJID, USUBJIDN, + !!!get_admiral_option("subject_keys"), STUDYIDN, SITEID, SITEIDN, USUBJIDN, SUBJID, SUBJIDN, AGE, SEX, SEXN, COHORT, COHORTC, ROUTE, ROUTEN, RACE, RACEN, ETHNIC, ETHNICN, FORM, FORMN, COUNTRY, COUNTRYN, COUNTRYL ) @@ -1393,7 +1393,7 @@ filtration rate (eGFR) `EGFRBL` using `compute_egfr()` function. labsbl <- lb %>% filter(LBBLFL == "Y" & LBTESTCD %in% c("CREAT", "ALT", "AST", "BILI")) %>% mutate(LBTESTCDB = paste0(LBTESTCD, "BL")) %>% - select(STUDYID, USUBJID, LBTESTCDB, LBSTRESN) + 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-0,0 +1,102 @@ +--- +title: "Pull Request Review Guidance" +output: + rmarkdown::html_vignette: + toc: true + toc_depth: 2 +vignette: > + %\VignetteIndexEntry{Pull Request Review Guidance} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +# Introduction + +This document is intended to be guidance for creators and reviewers of pull requests (PRs) in the `{admiral}` package family. PR authors will benefit from shorter review times by closely following the guidance provided here. + +A pull request into the `main` branch signifies that an issue has been "addressed". This issue might be a bug, a feature request or a documentation update. Once a Pull Request is merged into `main` branch, then the issue(s) can be closed. + +Closely following the below guidance will ensure that our all our "addressed" issues auto-close once we merge `main`. + +# Review Criteria + +For a pull request to be merged into `main` it needs to pass the automated CI checks that will appear at the bottom of the Pull Request. In addition, the PR creator and reviewer should make sure that + +- the [Programming Strategy](programming_strategy.html) and [Development Process](https://pharmaverse.github.io/admiral/dev/CONTRIBUTING.html) are followed + +- the function is ADaM IG compliant + +- the function does what is intended for (as described in the header and corresponding issue) + +- the function header properly explains the intention of the function, the expected inputs (incl. permitted values of parameters) and the output produced; after reading the documentation the reader should be able to predict the output of the function without having to read the source code + +- the function has an accompanying set of unit tests; for derivations these unit test should have a code coverage of at least 90%; the whole package should have a coverage of \>= 80% + +- the implemented derivation is in the scope of `{admiral}`, e.g. does not expect company specific input or hard-code company-specific rules + +- meaningful error or warning messages are issued if the input is invalid + +- documentation is created/updated by running `devtools::document()` + +- functions which are supposed to be exported are listed in the `NAMESPACE` file; this requires an `@export` tag in the function header + +- examples print relevant source variables and newly created variables and/or records in their output + +- the `NEWS.md` file is updated with an entry that explains the new features or changes if the change is user-specific or warrants a mention as a development milestone + +- all files affected by the implemented changes, e.g. vignettes and templates, are updated + +## Codeowners and PR Guidance + +As the creator of a PR, the assignment of a reviewer can be unclear. For most PRs, feel free to select a few members of the core development team. These individuals scan each repository on a regular basis as well and may provide his/her review even if not originally included as a selected reviewer. + +Sometimes, the development of a function or a vignette falls under a specific-topic, e.g. labs or PK/PD. Please ensure you include an appropriate reviewer if you are modifying files that rely on domain-expertise. We try to maintain an active list for domain-specific topics that will automatically tag an appropriate reviewer using our `CODEOWNERS` file, located in the `.github` folder. If you are interested in being a codeowner, reach out to the development team. + +# So much Red Tape! + +The `{admiral}` development team is aware and sympathetic to the great many checks, processes and documents needed to work through in order to do a compliant Pull Request. The `task-list-completed` GitHub workflow was created to help reduce this burden on contributors by providing a standardized checklist that compiles information from the Pull Request Review Guidance, [Programming Strategy](programming_strategy.html) and [Development Process](https://pharmaverse.github.io/admiral/dev/CONTRIBUTING.html) vignettes. + +The next three sections give a high-level overview of what a contributor faces in opening a PR, and how a contributor interacts with the `task-list-completed` workflow in their PR. + +## Open a Pull Request + +When a contributor opens a PR a lengthy standard text will be inserted into the comment section. Please do not alter any of the automated text. You will need to manually add `Closes #` into the title of the Pull Request. You can use the Edit button in the top right if you forget this step at the start of your Pull Request. Besides that you are free to add in additional textual information, screenshots, etc. at the bottom of the automated text if needed to clarify or contribute to the discussion around your PR. + +```{r echo=FALSE, out.width='120%'} +knitr::include_graphics("./pr_review_checklist.png") +``` + +## Create a Pull Request + +After you click the green `Create pull request` button the automated text that was inserted will be turned into a checklist in your Pull Request. Each check box has been drawn from the previously mentioned vignettes and presented in the recommended sequence. These check boxes are meant to be a helpful aid in ensuring that you have created a compliant Pull Request. + +```{r echo=FALSE, out.width='120%'} +knitr::include_graphics("./pr_review_checkbox.png") +``` + +## Complete the Pull Request checklist + +The check boxes are linked to the `task-list-completed` workflow. You need to check off each box in acknowledgment that you have done you due diligence in creating a compliant Pull Request. GitHub will refresh the Pull Request and trigger `task-list-completed` workflow that you have completed the task. The PR can not be merged into `main` until the contributor has checked off each of the check box items. + +```{r echo=FALSE, out.width='120%'} +knitr::include_graphics("./pr_review_actions.png") +``` + +Please don't hesitate to reach out to the `{admiral}` team on [Slack](https://app.slack.com/client/T028PB489D3/C02M8KN8269) or through the [GitHub Issues](https://github.com/pharmaverse/admiral/issues) tracker if you think this checklist needs to be amended or further clarity is needed on a check box item. + +**Note for Reviewers:** We recommend the use of Squash and Merge when merging in a Pull Request. This will create a clean commit history. + +# GitHub Actions/CI Workflows + +The `task-list-completed` workflow is one of the several workflows/actions used within `{admiral}`. These workflows live in the `.github/workflows` folder and it is important to understand their use and how to remedy if the workflow fails. Workflows defined here are responsible for assuring high package quality standards without compromising performance, security, or reproducibility. + +## A synopsis of admiral's workflows + +We recommend checking out the [README](https://github.com/pharmaverse/admiralci#cicd-workflows-for-admiral-r-packages) on the admiralci repository to gain an understanding of the workflows/actions used in `{admiral}`. diff --git a/vignettes/programming_strategy.Rmd b/vignettes/programming_strategy.Rmd new file mode 100644 index 0000000000..1590892d71 --- /dev/null +++ b/vignettes/programming_strategy.Rmd @@ -0,0 +1,762 @@ +--- +title: "Programming Strategy" +output: + rmarkdown::html_vignette: + toc: true +vignette: > + %\VignetteIndexEntry{Programming Strategy} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +# Introduction + +As `{admiral}` is intended to be contributed by the user community, this +article is meant for developers that want to either expand `{admiral}` functionalities or build on top of `{admiral}`. +In order to keep the framework robust across the whole community, +we have defined a programming strategy that should be followed in such cases. +These contributions could include, for example, company specific derivations of ADaM datasets. + + +# Functional Workflow + +* Overall programming will follow a functional approach. +* We mandate the use of tidyverse (e.g. dplyr) over similar functionality existing in base R +* Each ADaM dataset is built with a set of functions and not with free flow code. +* Each ADaM dataset has a specific programming workflow. +* Each function has a specific purpose that supports the ADaM Dataset programming workflow. It could be an `{admiral}` function or a company specific function. +* Admiral functions can be re-used for company specific functions. +* Each function belongs to one category defined in keywords/family. +* Each function that is used to derive one or multiple variable(s) is required to be unit tested. +* Functions have a standard naming convention. +* Double coding is not used as a QC method (only if absolutely necessary). +* ADaMs are created with readable, submission-ready code. + +# Functions in R + +## Function Design + +Firstly, it is important to explain how we decide on the need for new derivation functions. + +If a derivation rule or algorithm is common and highly similar across different variables/parameters +(e.g. study day or duration) then we would provide a generic function that can be used to satisfy all +the times this may be needed across different ADaMs. Similarly, if we feel that a certain derivation +could be useful beyond a single purpose we also would provide a generic function (e.g. instead of a +last known alive date function, we have an extreme date function where a user could find the last date +from a selection, or for example the first). + +Otherwise, if we feel that a derivation rule is a unique need or sufficiently complex to justify then we +opt for a dedicated function for that specific variable/parameter (e.g. treatment-emergent flag for AEs). + +If certain variables are closely connected (e.g. an imputed date and the corresponding imputation flag) +then a single function would provide both variables. + +If something needed for ADaM could be achieved simply via an existing tidyverse function, then we do not +wrap this into an admiral function, as that would add an unnecessary extra layer for users. + +The following principles are key when designing a new function: + +* _**Modularity**_ - All code follows a modular approach, i.e. the steps must be clearly separated and +have a dedicated purpose. This applies to scripts creating a dataset where each module should create a +single variable or parameter. But also to complex derivations with several steps. Commenting on these +steps is key for readability. + +* _**Avoid Copy and Paste**_ - If the same or very similar code is used multiple times, it should be put +into a separate function. This improves readability and maintainability and makes unit testing easier. +This should not be done for every simple programming step where tidyverse can be used. But rather for +computational functions or data checks. However, also consider not to nest too many functions. + +* _**Checks**_ - Whenever a function fails, a meaningful error message must be provided with a clear +reference to the input which caused the failure. A users should not have to dig into detailed +code if they only want to apply a function. A meaningful error message supports usability. + +* _**Flexibility**_ - Functions should be as flexible as possible as long as it does not reduce the usability. +For example: + + * The source variables or newly created variables and conditions for selecting observations should not be hard-coded. + + * It is useful if an argument triggers optional steps, e.g. if the `filter` argument is specified, the input dataset +is restricted, otherwise this step is skipped. + + * However, arguments should not trigger completely different algorithms. For example `BNRIND` could be derived based +on `BASE` or based on `ANRIND`. It should not be implemented within one function as the algorithms are completely different. +If `BASE` is used, the values are categorized while if `ANRIND` is used, the values are merged from the baseline observation. + +## Input, Output, and Side-effects + +* The behavior of the function is only determined by its input, not by any global object, +i.e. all input like datasets, variable names, options, … must be provided to the function by arguments. +* It is expected that the input datasets are not grouped. If any are grouped, the function must issue an error. +* If a function requires grouping, the function must provide the `by_vars` argument. +* The output dataset must be ungrouped. +* The functions should not sort (arrange) the output dataset at the end. +* If the function needs to create temporary variables in an input dataset, names +for these variables must be generated by `get_new_tmp_var()` to avoid that +variables of the input dataset are accidentally overwritten. The temporary +variables must be removed from the output dataset by calling +`remove_tmp_vars()`. +* If developers find the need to use or create *environment* objects to achieve flexibility, use the `admiral_environment` environment object created in `admiral_environment.R`. All objects which are stored in this environment must be documented in `admiral_environment.R`. An equivalent environment object and `.R` file exist for admiraldev as well. For more details how environments work, see relevant sections on environments in [R Packages](https://r-pkgs.org) and [Advanced R](https://adv-r.hadley.nz) textbooks. +* In general, the function must not have any side-effects like creating or modifying global objects, printing, writing files, ... + +## Admiral Options + +* An exception is made for admiral options, see `get_admiral_option()` and +`set_admiral_options()`, where we have certain pre-defined defaults with added +flexibility to allow for user-defined defaults on *commonly used* function +arguments e.g. `subject_keys` currently pre-defined as `exprs(STUDYID, +USUBJID)`, but can be modified using `set_admiral_options(subject_keys = +exprs(...))` at the top of a script. The reasoning behind this was to relieve +the user of repeatedly changing aforementioned *commonly used* function +arguments multiple times in a script, which may be called across many admiral +functions. +* If this additional flexibility needs to be added for another *commonly used* +function argument e.g. `future_input` to be set as `exprs(...)` it can be added +as an admiral option. In the function formals define `future_input = +get_admiral_option("future_input")` then proceed to modify the body and roxygen +documentation of `set_admiral_options()`. + +## Function Names + +* Function names should start with a verb and use snake case, e.g. `derive_var_base()`. + +| Function name prefix | Description | +|----------------------------------------------|-----------------------------------------------------------------------------------------------------| +| `assert_` / `warn_` / `is_` | Functions that check other functions’ inputs | +| `derive_` | Functions that take a dataset as input and return a new dataset with additional rows and/or columns | +| `derive_var_` (e.g. `derive_var_trtdurd`) | Functions which add a single variable | +| `derive_vars_` (e.g. `derive_vars_dt`) | Functions which add multiple variables | +| `derive_param_` (e.g. `derive_param_os`) | Functions which add a single parameter | +| `compute_` / `calculate_` / ... | Functions that take vectors as input and return a vector | +| `create_` / `consolidate_` | Functions that create datasets without keeping the original observations | +| `get_` | Usually utility functions that return very specific objects that get passed through other functions | +| `filter_` | Functions that filter observations based on conditions associated with common clinical trial syntax | + +| Function Name Suffix | Description | +|----------------------------------------------|-----------------------------------------------------------------------------------------------------| +| `_derivation` (suffix) | High order functions that call a user specified derivation | +| `_date` / `_time` / `_dt` / `_dtc` / `_dtm` | Functions associated with dates, times, datetimes, and their character equivalents. | +| `_source` | Functions that create source datasets that usually will be passed through other `derive_` functions.| + +| Other Common Function Name Terms | Description | +|----------------------------------------------|-----------------------------------------------------------------------------------------------------| +| `_merged_` / `_joined_` / `_extreme_` | Functions that follow the [generic function user-guide](https://pharmaverse.github.io/admiral/articles/generic.html). | + + + +Please note that the appropriate *var*/*vars* prefix should be used for all cases in which the function creates any variable(s), regardless of the presence of a `new_var` argument in the function call. + +Oftentimes when creating a new `derive_var` or `derive_param` function there may be some sort of non-trivial calculation involved that you may want to write a customized function for. This is when creating a `compute_` function becomes appropriate, such that the calculation portion is contained in one step as part of the overall `derive_` function, reducing clutter in the main function body and assisting in debugging. In addition, a `compute_` function should be implemented if the calculation could be used for more than one derivation. For example `compute_bmi()` could be used to derive a baseline BMI variable in ADSL (based on baseline weight and baseline height variables) and could also be used to derive a BMI parameter in ADVS (based on weight and height parameters). Please see `compute_age_years()` and `derive_var_age_years()` as another example. + + +## Function Arguments + +The default value of optional arguments should be `NULL`. + +There is a recommended argument order that all contributors are asked to adhere to +(in order to keep consistency across functions): + +1. `dataset` (and any additional datasets denoted by `dataset_*`) +1. `by_vars` +1. `order` +1. `new_var` (and any related `new_var_*` arguments) +1. `filter` (and any additional filters denoted by `filter_*`) +1. all additional arguments: + * Make sure to always mention `start_date` before `end_date` (or related). + +Names of variables inside a dataset should be passed as symbols rather than +strings, i.e. `AVAL` rather than `"AVAL"`. If an argument accepts one or more +variables or expressions as input then the variables and expressions should be +wrapped inside `exprs()`. + +For example: + +* `new_var = TEMPBL` +* `by_vars = exprs(PARAMCD, AVISIT)` +* `filter = PARAMCD == "TEMP"` +* `order = exprs(AVISIT, desc(AESEV))` +* `new_vars = exprs(LDOSE = EXDOSE, LDOSEDT = convert_dtc_to_dt(EXSTDTC))` + +Each function argument needs to be tested with `assert_` type of function. + +Each expression needs to be tested for the following +(there are many utility functions in `{admiral}` available to the contributor): + +* whether it is an expression (or a list of expressions, depending on the function) +* whether it is a valid expression (i.e. whether it evaluates without error) + +## Common Function Arguments Naming Convention + +The first argument of `derive_` functions should be the input dataset and it +should be named `dataset`. If more than one input dataset is required, the other +input dataset should start with `dataset_`, e.g., `dataset_ex.` + +Arguments for specifying items to add should start with `new_`. If a variable is +added, the second part of the argument name should be var, if a parameter is +added, it should be `param.` For example: `new_var`, `new_var_unit`, +`new_param`. + +Arguments which expect a boolean or boolean vector must start with a verb, e.g., +`is_imputed` or `impute_date`. + +Arguments which only expect one value or variable name must be a singular version of the word(s), e.g., `missing_value` or `new_var`. Arguments which expect several values or variable names (as a list, expressions, etc.) must be a plural version of the word(s), e.g., `missing_values` or `new_vars`. + +## List of Common Arguments +| Argument Name | Description | +|------------------|--------------------------------------------------------------------------------------------------------------------| +| `dataset` | The input dataset. Expects a data.frame or a tibble. | +| `dataset_ref` | The reference dataset, e.g. ADSL. Typically includes just one observation per subject. | +| `dataset_add` | An additional dataset. Used in some `derive_xx` and `filter_xx` functions to access variables from an additional dataset. | +| `by_vars` | Variables to group by. | +| `order` | List of expressions for sorting a dataset, e.g., `exprs(PARAMCD, AVISITN, desc(AVAL))`. | +| `new_var` | Name of a single variable to be added to the dataset. | +| `new_vars` | List of variables to be added to the dataset. | +| `new_var_unit` | Name of the unit variable to be added. It should be the unit of the variable specified for the `new_var` argument. | +| `filter` | Expression to filter a dataset, e.g., `PARAMCD == "TEMP"`. | +| `start_date` | The start date of an event/interval. Expects a date object. | +| `end_date` | The end date of an event/interval. Expects a date object. | +| `start_dtc` | (Partial) start date/datetime in ISO 8601 format. | +| `dtc` | (Partial) date/datetime in ISO 8601 format. | +| `date` | Date of an event / interval. Expects a date object. | +| `subject_keys` | Variables to uniquely identify a subject, defaults to `exprs(STUDYID, USUBJID)`. In function formals, use `subject_keys = get_admiral_option("subject_keys")` | +| `set_values_to` | List of variable name-value pairs. Use `process_set_values_to()` for processing the value and providing user friendly error messages. | +| `keep_source_vars` | Specifies which variables from the selected observations should be kept. The default of the argument should be `exprs(everything())`. The primary difference between `set_values_to` and `keep_source_vars` is that `keep_source_vars` only selects and retains the variables from a source dataset, so e.g. `keep_source_vars = exprs(DOMAIN)` would join + keep the `DOMAIN` variable, whereas `set_values_to` can make renaming and inline function changes such as `set_values_to = exprs(LALVDOM = DOMAIN)` | +| `missing_value` | A singular value to be entered if the data is missing. | +| `missing_values` | A named list of expressions where the names are variables in the dataset and the values are a value to be entered if the data is missing, e.g., `exprs(BASEC = "MISSING", BASE = -1)`. | + +## Source Code Formatting + +All source code should be formatted according to the +[tidyverse](https://style.tidyverse.org/) style guide. The +[lintr](https://github.com/jimhester/lintr) and +[styler](https://github.com/r-lib/styler) packages are used to check and enforce +this. + +## Comments + +Comments should be added to help other readers than the author to understand the +code. There are two main cases: + +- If the intention of a chunk of code is not clear, a comment should be added. +The comment should not rephrase the code but provide additional information. + + *Bad* + + ``` + # If AVAL equals zero, set it to 0.0001. Otherwise, do not change it + mutate(dataset, AVAL = if_else(AVAL == 0, 0.0001, AVAL)) + ``` + + *Good* + + ``` + # AVAL is to be displayed on a logarithmic scale. + # Thus replace zeros by a small value to avoid gaps. + mutate(dataset, AVAL = if_else(AVAL == 0, 0.0001, AVAL)) + ``` + +- For long functions (>100 lines) comments can be added to structure the code +and simplify navigation. In this case the comment should end with `----` to add +an entry to the document outline in RStudio. For example: + ``` + # Check arguments ---- + ``` + +The formatting of the comments must follow the +[tidyverse](https://style.tidyverse.org/syntax.html#comments) style guide. I.e., +the comment should start with a single `#` and a space. No decoration (except +for outline entries) must be added. + +*Bad* +``` +# This is a comment # + +########################### +# This is another comment # +########################### + +#+++++++++++++++++++++++++++++++ +# This is a section comment ---- +#+++++++++++++++++++++++++++++++ +``` + +*Good* +``` +# This is a comment + +# This is another comment + +# This is a section comment ---- +``` + +## Input Checking + +In line with the [fail-fast](https://en.wikipedia.org/wiki/Fail-fast) design principle, +function inputs should be checked for validity +and, if there’s an invalid input, the function should stop immediately with an error. +An exception is the case where a variable to be added by a function already exists in the input dataset: +here only a warning should be displayed and the function should continue executing. + +Inputs should be checked using custom assertion functions defined in [`R/assertions.R`](https://github.com/pharmaverse/admiraldev/blob/main/R/assertions.R). +These custom assertion functions should either return an error in case of an invalid input or return nothing. + +For the most common types of input arguments like a single variable, a list of +variables, a dataset, ... functions for checking are available (see +[assertions](../reference/index.html#section-assertions)). + +Arguments which expect keywords should handle them in a case-insensitive manner, +e.g., both `date_imputation = "FIRST"` and `date_imputation = "first"` should be +accepted. The `assert_character_scalar()` function helps with handling arguments +in a case-insensitive manner. + +A argument should not be checked in an outer function if the argument name is the same as in the inner function. +This rule is applicable only if both functions are part of `{admiral}`. + + +## Function Header (Documentation) + +Every function that is exported from the package must have an accompanying header +that should be formatted according to the [roxygen2](https://roxygen2.r-lib.org/) convention. + +In addition to the standard roxygen2 tags, the `@family` and `@keywords` tags are also used. + +The family/keywords are used to categorize the function, which is used both on our website and the internal package help pages. Please see section [Categorization of functions](programming_strategy.html#categorization-of-functions). + +An example is given below: + +```{r, eval=FALSE} +#' Derive Relative Day Variables +#' +#' Adds relative day variables (`--DY`) to the dataset, e.g., `ASTDY` and +#' `AENDY`. +#' +#' @param dataset Input dataset +#' +#' The columns specified by the `reference_date` and the `source_vars` +#' argument are expected. +#' +#' @param reference_date The start date column, e.g., date of first treatment +#' +#' A date or date-time object column is expected. +#' +#' Refer to `derive_var_dt()` to impute and derive a date from a date +#' character vector to a date object. +#' +#' @param source_vars A list of datetime or date variables created using +#' `exprs()` from which dates are to be extracted. This can either be a list of +#' date(time) variables or named `--DY` variables and corresponding --DT(M) +#' variables e.g. `exprs(TRTSDTM, ASTDTM, AENDT)` or `exprs(TRTSDT, ASTDTM, +#' AENDT, DEATHDY = DTHDT)`. If the source variable does not end in --DT(M), a +#' name for the resulting `--DY` variable must be provided. +#' +#' @details The relative day is derived as number of days from the reference +#' date to the end date. If it is nonnegative, one is added. I.e., the +#' relative day of the reference date is 1. Unless a name is explicitly +#' specified, the name of the resulting relative day variable is generated +#' from the source variable name by replacing DT (or DTM as appropriate) with +#' DY. +#' +#' @return The input dataset with `--DY` corresponding to the `--DTM` or `--DT` +#' source variable(s) added +#' +#' @keywords der_date_time +#' @family der_date_time +#' +#' @export +#' +#' @examples +#' library(lubridate) +#' library(dplyr, warn.conflicts = FALSE) +#' +#' datain <- tribble( +#' ~TRTSDTM, ~ASTDTM, ~AENDT, +#' "2014-01-17T23:59:59", "2014-01-18T13:09:O9", "2014-01-20" +#' ) %>% +#' mutate( +#' TRTSDTM = as_datetime(TRTSDTM), +#' ASTDTM = as_datetime(ASTDTM), +#' AENDT = ymd(AENDT) +#' ) +#' +#' derive_vars_dy( +#' datain, +#' reference_date = TRTSDTM, +#' source_vars = exprs(TRTSDTM, ASTDTM, AENDT) +#' ) +``` + + +The following fields are mandatory: + +* `@param`: One entry per function argument. +The following attributes should be described: expected data type (e.g. `data.frame`, `logical`, `numeric` etc.), permitted values (if applicable), optionality (i.e. is this a required argument). If the expected input is a dataset then the required variables should be clearly stated. Describing the default value becomes difficult to maintain and subject to manual error when it is already declared in the function arguments. The description for permitted values should be written as a separate line italicizing the phrase "Permitted Values", example below: + +``` +#' *Permitted Values*: example description of permitted values here +``` + +* `@details`: A natural-language description of the derivation used inside the function. +* `@keyword`: One applicable tag to the function - identical to family. +* `@family`: One applicable tag to the function - identical to keyword. +* `@return`: A description of the return value of the function. +Any newly added variable(-s) should be mentioned here. +* `@examples`: A fully self-contained example of how to use the function. +Self-contained means that, if this code is executed in a new R session, it will run without errors. +That means any packages need to be loaded with `library()` and any datasets needed either to be created directly inside the example code or loaded using `data()`. +If a dataset is created in the example, it should be done so using the function `tribble()` (specify `library(dplyr)` before calling this function). +If other functions are called in the example, please specify `library(pkg_name)` then refer to the respective function `fun()` as opposed to the preferred `pkg_name::fun()` notation as specified in [Unit Test Guidance](unit_test_guidance.html#set-up-the-test-script). +Make sure to align columns as this ensures quick code readability. + +Copying descriptions should be avoided as it makes the documentation hard to +maintain. For example if the same argument with the same description is used by +more than one function, the argument should be described for one function and +the other functions should use `@inheritParams `. + +Please note that if `@inheritParams func_first` is used in the header of the +`func_second()` function, those argument descriptions of `func_first()` are +included in the documentation of `func_second()` for which + +- the argument is offered by `func_second()` and +- no `@param` tag for the argument is included in the header of +`func_second()`. + +The order of the `@param` tags should be the same as in the function definition. +The `@inheritParams` tags should be after the `@param`. This does not affect the +order of the argument description in the rendered documentation but makes it +easier to maintain the headers. + +Variable names, expressions, functions, and any other code must be enclosed +which backticks. This will render it as code. + +For functions which derive a specific CDISC variable, the title must state the +label of the variable without the variable name. The variable should be stated +in the description. + +## Categorization of Functions + +The functions are categorized by keywords and families within the roxygen header. Categorization is important +as the `admiral` user-facing functions base totals above 125 and is growing! However, to ease the burden for developers, we have decided that +the keywords and families should be identical in the roxygen header, which are specified via the `@keywords` and `@family` fields. +To reiterate, each function must use the **same keyword and family**. Also, please note that the keywords and families are case-sensitive. + +### `@keywords` + +The keywords allows for the reference page to be easily organized when using certain +`pgkdown` functions. For example, using the function `has_keyword(der_bds_gen)` in the `_pkgdown.yml` file while building +the website will collect all the BDS General Derivation functions and display them in alphabetical order on the Reference Page in a section called +BDS-Specific. + +### `@family` + +The families allow for similar functions to be displayed in the **See Also** section of a function's documentation. For example, a user looking at +`derive_vars_dy()` function documentation might be interested in other Date/Time functions. Using the `@family` tag `der_date_time` will display +all the Date/Time functions available in admiral to the user in the **See Also** section of `derive_vars_dy()` function documentation. Please take a look at the +function documentation for `derive_vars_dy()` to see the family tag in action. + +Below are the list of available keyword/family tags to be used in `admiral` functions. If you think an additional keyword/family tag should be added, then please +add an issue in GitHub for discussion. + + +| Keyword/Family | Description | +|-----------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------| +| `com_date_time` | Date/Time Computation Functions that returns a vector | +| `com_bds_findings` | BDS-Findings Functions that returns a vector | +| `create_aux` | Functions for Creating Auxiliary Datasets | +| `datasets` | Example datasets used within admiral | +| `der_gen` | General Derivation Functions that can be used for any ADaM. | +| `der_date_time` | Date/Time Derivation Function | +| `der_bds_gen` | Basic Data Structure (BDS) Functions that can be used across different BDS ADaM (adex, advs, adlb, etc) | +| `der_bds_findings` | Basic Data Structure (BDS) Functions specific to the BDS-Findings ADaMs | +| `der_prm_bds_findings` | BDS-Findings Functions for adding Parameters | +| `der_adsl` | Functions that can only be used for creating ADSL. | +| `der_tte` | Function used only for creating a Time to Event (TTE) Dataset | +| `der_occds` | OCCDS specific derivation of helper Functions | +| `der_prm_tte` | TTE Functions for adding Parameters to TTE Dataset | +| `deprecated` | Function which will be removed from admiral after next release. See [Deprecation Guidance](#deprecation). | +| `metadata` | Auxiliary datasets providing definitions as input for derivations, e.g. grading criteria or dose frequencies | +| `utils_ds_chk` | Utilities for Dataset Checking | +| `utils_fil` | Utilities for Filtering Observations | +| `utils_fmt` | Utilities for Formatting Observations | +| `utils_print` | Utilities for Printing Objects in the Console | +| `utils_help` | Utilities used within Derivation functions | +| `utils_examples` | Utilities used for examples and template scripts | +| `source_specifications` | Source Objects | +| `other_advanced` | Other Advanced Functions | +| `high_order_function` | Higher Order Functions | | +| `internal` | Internal functions only available to admiral developers | +| | | +| `assertion`* | Asserts a certain type and gives warning, error to user | +| `warning` | Provides custom warnings to user | +| `what` | A function that ... | +| `is` | A function that ... | +| `get` | A function that ... | + +**NOTE:** It is strongly encouraged that each `@keyword` and `@family` are to be identical. This eases the burden of development and maintenance for admiral functions. If you need to use multiple keywords or families, please reach out to the core development team for discussion. + + +# Missing values + +Missing values (`NA`s) need to be explicitly shown. + +Regarding character vectors converted from SAS files: SAS treats missing character values as blank. +Those are imported into R as empty strings (`""`) although in nature they are missing values (`NA`). +All empty strings that originate like this need to be converted to proper R missing values `NA`. + +# File Structuring + +Organizing functions into files is more of an art than a science. +Thus, there are no hard rules but just recommendations. +First and foremost, there are two extremes that should be avoided: +putting each function into its own file and putting all functions into a single file. +Apart from that the following recommendations should be taken into consideration when deciding upon file structuring: + +- If a function is very long (together with its documentation), store it in a separate file +- If some functions are documented together, put them into one file +- If some functions have some sort of commonality or relevance with one another (like `dplyr::bind_rows()` and `dplyr::bind_cols()`), put them into one file +- Store functions together with their helpers and methods +- Have no more than 1000 lines in a single file, unless necessary (exceptions are, for example, classes with methods) + +It is the responsibility of both the author of a new function and reviewer to ensure that these recommendations are put into practice. + + +# R Package Dependencies + +Package dependencies have to be documented in the `DESCRIPTION` file. +If a package is used only in examples and/or unit tests then it should be listed in `Suggests`, otherwise in `Imports`. + +Functions from other packages have to be explicitly imported by using the `@importFrom` tag in the `R/admiral-package.R` file. +To import the `if_else()` and `mutate()` function from `dplyr` the following line would have to be included in that file: +`#' @importFrom dplyr if_else mutate`. +By using the `@importFrom` tag, it is easier to track all of our dependencies in one place and improves code readability. + +Some of these functions become critically important while using admiral and +should be included as an export. This applies to functions which are frequently +called within `{admiral }`function calls like `rlang::exprs()`, `dplyr::desc()` +or the pipe operator `dplyr::%>%`. To export these functions, the following R +code should be included in the `R/reexports.R` file using the format: + +``` +#' @export +pkg_name::fun +``` + +# Metadata + +Functions should only perform the derivation logic and not add any kind of metadata, e.g. labels. + + +# Unit Testing + +A function requires a set of unit tests to verify it produces the expected result. +See [Writing Unit Tests in {admiral}](unit_test_guidance.html#writing-unit-tests-in-admiral) for details. + +# Deprecation + +As `{admiral}` is still evolving, functions or arguments may need to be removed +or replaced with more efficient options from one release to another. In such +cases, the relevant function or argument must be marked as deprecated. This +deprecation is done in three phases over our release cycles. + +- **Phase 1:** In the release where the identified function or argument is to +be deprecated there will be a warning issued when using the function or argument +using `deprecate_warn()`. + +- **Phase 2:** In the next release an error will be thrown using +`deprecate_stop()`. + +- **Phase 3:** Finally in the 3rd release thereafter the function will be +removed from the package altogether. + +Information about deprecation timelines must be added to the warning/error message. + +Note that the deprecation cycle time for a function or argument based on our +current release schedule is 6 months. + +## Documentation + +If a function or argument is removed, the documentation must be updated to +indicate the function or the argument is now deprecated and which new +function/argument should be used instead. + +The documentation will be updated at: + ++ the description level for a function, ++ the `@keywords` and`@family` roxygen tags will be replaced with `deprecated` + + ```{r, eval=FALSE} +#' Title of the function +#' +#' @description +#' `r lifecycle::badge("deprecated")` +#' +#' This function is *deprecated*, please use `new_fun()` instead. +#' . +#' @family deprecated +#' +#' @keywords deprecated +#' . + ``` + ++ the `@examples` section should be removed. + ++ the `@param` level for a argument. + + ``` + @param old_param *Deprecated*, please use `new_param` instead. + ``` + +## Handling of Warning and Error + +When a function or argument is deprecated, the function must be updated to issue +a warning or error using `deprecate_warn()` and `deprecate_stop()`, +respectively, as described above. + +There should be a test case added in the test file of the function that checks +whether this warning/error is issued as appropriate when using the deprecated +function or argument. + +### Function + +In the initial release in which a function is deprecated the original function +body must be replaced with a call to `deprecate_warn()` and subsequently all +arguments should be passed on to the new function. + +```r +fun_xxx <- function(dataset, some_param, other_param) { + deprecate_warn("x.y.z", "fun_xxx()", "new_fun_xxx()") + new_fun_xxx( + dataset = dataset, + some_param = some_param, + other_param = other_param + ) +} +``` + +In the following release the function body should be changed to just include a call +to `deprecate_stop()`. + +```r +fun_xxx <- function(dataset, some_param, other_param) { + deprecate_stop("x.y.z", "fun_xxx()", "new_fun_xxx()") +} +``` + +Finally, in the next release the function should be removed from the package. + +### Argument + +If an argument is removed and is not replaced, an **error** must be generated: + +``` +### BEGIN DEPRECATION + if (!missing(old_param)) { + deprecate_stop("x.y.z", "fun_xxx(old_param = )", "fun_xxx(new_param = )") + } +### END DEPRECATION +``` + +If the argument is renamed or replaced, a **warning** must be issued and the +new argument takes the value of the old argument until the next release. Note: +arguments which are not passed as `exprs()` argument (e.g. `new_var = VAR1` or +`filter = AVAL >10`) will need to be quoted. + +``` +### BEGIN DEPRECATION + if (!missing(old_param)) { + deprecate_warn("x.y.z", "fun_xxx(old_param = )", "fun_xxx(new_param = )") + # old_param is given using exprs() + new_param <- old_param + # old_param is NOT given using exprs() + new_param <- enexpr(old_param) + } +### END DEPRECATION +``` + +## Unit Testing + +Unit tests for deprecated functions and arguments must be added to the test file [^1] of the function to ensure that a warning or error is issued. + +[^1]: For example, if `derive_var_example()` is going to be deprecated and +it is defined in `examples.R`, the unit tests are in +`tests/testthat/test-examples.R`. + +When writing the unit test, check that the error or warning has the right class, +i.e., `"lifecycle_error_deprecated"` or `"lifecycle_warning_deprecated"`, +respectively. The unit-test should follow the corresponding format, per the +[unit test guidance](unit_test_guidance.html#writing-unit-tests-in-admiral). + +### For Deprecated Functions that Issues a Warning (Phase 1) + +A unit test like the following must be added. +``` +## Test #: deprecation warning if function is called ---- +test_that("derive_var_example() Test #: deprecation warning if function is called", { + expect_warning( + derive_var_example(), + class = "lifecycle_warning_deprecated" + ) +}) +``` + +In the existing unit tests the call of the deprecated function need to be enclosed by `suppress_warning()`. For example, +``` + actual <- suppress_warning( + derive_var_example(), + regexpr = "was deprecated" + ) +``` +The `regexpr` argument must be specified to ensure that only the deprecation +warning is suppressed. + +### For Deprecated Functions that Issues an Error (Phase 2) + +A unit test like the following must be added. +``` +## Test #: error if function is called ---- +test_that("derive_var_example() Test #: deprecation error if function is called", { + expect_error( + derive_var_example(), + class = "lifecycle_error_deprecated" + ) +}) +``` +Other unit tests of the deprecated function must be removed. + +# Best Practices and Hints + +Please take the following list as recommendation and try to adhere to its rules if possible. + +* Arguments in function calls should be named except for the first parameter +(e.g. `assert_data_frame(dataset, required_vars = exprs(var1, var2), optional = TRUE)`). +* `dplyr::if_else()` should be used when there are only two conditions. +Try to always set the `missing` argument whenever appropriate. + +## How Quoting is used + +* Some admiral arguments require selecting one particular option like `mode`, e.g. `mode = "last"`. Use quotation marks to capture these. The expected assertion function corresponding to these arguments is `assert_character_scalar()/assert_character_vector()`. +* Many admiral arguments require capturing an expression, typically encased in a `exprs()` statement, which are to be evaluated _later_ inside the function body, see arguments like `new_vars`, e.g. `new_vars = exprs(TRTSDTM = EXSTDTM)`. Oftentimes, the assertion function corresponding to these are `assert_expr()/assert_expr_list()`. These arguments are unquoted by using `!!!`. +* Some admiral arguments like `new_var` or `filter` which expect a _single_ variable or expression are not quoted in the call. In the function body, it has to be quoted by using `enexpr().` Usually this is combined with the assertion, e.g., `new_var <- assert_symbol(enexpr(new_var))`. These arguments are unquoted by using `!!`. +* Keep in mind `!!` is a one-to-one replacement and `!!!` is a one-to-many replacement. Please see [this chapter](https://adv-r.hadley.nz/quasiquotation.html) in the Advanced R textbook for more details. + +## Standardizing Text Used to Label and Describe Arguments + +In the following [PR](https://github.com/pharmaverse/admiral/pull/2065/files), you will find an example of how the function argument `dataset` was able to be standardized such that the Label and Description of said function argument was aligned across the codebase. Please see the changes to the file `derive_adeg_params.R` for further details. + +The benefits of having a programmatic way to write documentation is that if any changes need to be made, _making the modification on the corresponding function, in this case, `roxygen_param_dataset()`, scales across the codebase, can be tested, and is less prone to user-error such as typos or grammar mistakes_. + +These functions are implemented in `roxygen2.R` and the naming convention for each argument will be as follows `roxygen_param_xxx()`, where "xxx" is the be replaced with the argument name. + +# R and Package Versions for Development + +* The choice of R Version is not set in stone. However, a common development environment is important to establish when working across multiple companies and multiple developers. We currently work in the earliest of the three latest R Versions. This need for a common development environment also carries over for our choice of package versions. +* GitHub allows us through the Actions/Workflows to test `{admiral}` under several versions of R as well as several versions of dependent R packages needed for `{admiral}`. Currently we test `{admiral}` against the three latest R Versions and the closest snapshots of packages to those R versions. You can view this workflow and others on our [admiralci GitHub Repository](https://github.com/pharmaverse/admiralci). +* This common development allows us to easily re-create bugs and provide solutions to each other issues that developers will encounter. +* Reviewers of Pull Requests when running code will know that their environment is identical to the initiator of the Pull Request. This ensures faster review times and higher quality Pull Request reviews. +* We achieve this common development environment by using a **lockfile** created from the [`renv`](https://rstudio.github.io/renv/) package. 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za5&BWqi}CZEN}3wKumq7@Qm8NB^?c$%I7Hl9YyER%Q|ebPqo{4_J-~xL@!Yr6aJfg z(51-D62VXG9g`(G#$Tp0g=67_q=q7)vv#Ry1k>lt?0J!A&QMTw5!YUQ2^P{|Ad=W< z`8H5-IZM0MP54S^bL_#Kp4(GG2UrWXaXEC-_h|0&ijpUHui z&F!z#*J^$%d=QwtoStTZv*z8Rl&iaz!>)N+b%V2h#)%4| z8E;~r+Bcp)k4^E!72V@LO=H!zx2>)Y+sAA}sO z{C;b=5z0zCwfrroH&OYYq~IQlVkwb^oJJhwI__W<6;GdS8w! z6yR=+jkj`JcD{Gq-y>SxTD)$)i0r$V(TUlqSe#!QpQU`koBkZ4oz)Ih7S3d#u^~o3 zpc{gBljEEOLJPPX>kz-usJK-UNvY2w3Vxa1-Xg!uHc(=pO8(O$5i7KZmbFrK0phIv zDE&%m)j%W+LIB^0>@U0Q74et#%X;`w;aZ^U@~5OCDm0CQz6j~WwKZwRf!ncZoKMMn zk&OpY8}lPt1nIZBWoqX~>Ka8`KgviPJ_r!eEurC?Ti@P zjt4B-WuGBXfNIiSetv#IC>}a@Vv2=!E%y8OoqF0?g?V`&NJ*iY7jvn(oZbv_{mb0a zVMJ|n{F$F0TMoZNPz*FSrK(j;bCx-}@;wSxDh(BUNt9B51^j## MlM}5F)(`mq09y4|;{X5v literal 0 HcmV?d00001 diff --git a/vignettes/questionnaires.Rmd b/vignettes/questionnaires.Rmd index e37d9a0703..f59a2696c8 100644 --- a/vignettes/questionnaires.Rmd +++ b/vignettes/questionnaires.Rmd @@ -109,7 +109,7 @@ adqs <- qs %>% ```{r echo=FALSE} dataset_vignette( - arrange(adqs, USUBJID, PARCAT1, ADY, PARAMCD), + arrange(adqs, !!!get_admiral_option("subject_keys"), PARCAT1, ADY, PARAMCD), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, PARCAT1, AVALC, AVAL, ADY, AVISIT)) ) ``` @@ -156,7 +156,7 @@ adgad7 <- adqs %>% ```{r echo=FALSE} dataset_vignette( - arrange(adgad7, USUBJID, ADY, PARAMCD), + arrange(adgad7, !!!get_admiral_option("subject_keys"), ADY, PARAMCD), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVAL, ADY, AVISIT)) ) ``` @@ -192,7 +192,7 @@ adgdssf <- adqs %>% ```{r echo=FALSE} dataset_vignette( - arrange(adgdssf, USUBJID, ADY, PARAMCD), + arrange(adgdssf, !!!get_admiral_option("subject_keys"), ADY, PARAMCD), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVAL, ADY, AVISIT)) ) ``` @@ -284,7 +284,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( - arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), + arrange(adgdssf, !!!get_admiral_option("subject_keys"), desc(PARAMCD), ADY), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVAL, AVALCAT1, CHGCAT1)) ) ``` @@ -378,7 +378,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( - arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), + arrange(adgdssf, !!!get_admiral_option("subject_keys"), desc(PARAMCD), ADY), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, ADY, CHGCAT1, CDETFL)) ) ``` @@ -421,7 +421,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( - arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), + arrange(adgdssf, !!!get_admiral_option("subject_keys"), desc(PARAMCD), ADY), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, ADY, CHGCAT1, CONDETFL, CDTDTHFL)) ) ``` @@ -444,7 +444,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( - arrange(adgdssf, USUBJID, desc(PARAMCD), ADY), + arrange(adgdssf, !!!get_admiral_option("subject_keys"), desc(PARAMCD), ADY), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, ADY, CHGCAT1, DEFDETFL)) ) ``` @@ -515,7 +515,7 @@ adsp <- adqs %>% ```{r echo=FALSE} dataset_vignette( - arrange(adsp, USUBJID, ADY, PARAMCD), + arrange(adsp, !!!get_admiral_option("subject_keys"), ADY, PARAMCD), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVALC)) ) ``` @@ -541,7 +541,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( - arrange(adgdssf, USUBJID, PARAMCD, ADY), + arrange(adgdssf, !!!get_admiral_option("subject_keys"), PARAMCD, ADY), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVALC)) ) ``` @@ -594,7 +594,7 @@ adgdssf <- adgdssf %>% ```{r echo=FALSE} dataset_vignette( - arrange(adgdssf, USUBJID, PARAMCD, ADY), + arrange(adgdssf, !!!get_admiral_option("subject_keys"), PARAMCD, ADY), display_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARAM, AVISIT, AVALC)) ) ``` diff --git a/vignettes/rcmd_issues.Rmd b/vignettes/rcmd_issues.Rmd new file mode 100644 index 0000000000..6f7dc3f049 --- /dev/null +++ b/vignettes/rcmd_issues.Rmd @@ -0,0 +1,104 @@ +--- +title: "R CMD Issues" +output: + rmarkdown::html_vignette: + toc: true + toc_depth: 2 +vignette: > + %\VignetteIndexEntry{R CMD Issues} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +# Common R CMD Check Issues + +`R CMD check` is a command line tool that checks R packages against a standard set of criteria. For a pull request to pass the check must not issue any notes, warnings or errors. Below is a list of common issues and how to resolve them. + +## Check Fails Only on One Version + +If the `R CMD check` workflow fails only on one or two R versions it can be helpful to reproduce the testing environment locally. + +To reproduce a particular R version environment open the `{admiral}` project in the corresponding R version, comment the line `source("renv/activate.R")` in the `.Rprofile` file, restart the R session and then run the following commands in the R console. + +``` r +Sys.setenv(R_REMOTES_NO_ERRORS_FROM_WARNINGS = "true") + +if (!dir.exists(".library")) { + dir.create(".library") +} + +base_recommended_pkgs <- row.names(installed.packages(priority = "high")) +for (pkg in base_recommended_pkgs) { + path <- file.path(.Library, pkg) + cmd <- sprintf("cp -r %s .library", path) + system(cmd) +} +assign(".lib.loc", ".library", envir = environment(.libPaths)) + +r_version <- getRversion() +if (grepl("^4.1", r_version)) { + options(repos = "https://packagemanager.posit.co/cran/2021-05-03/") +} else if (grepl("^4.2", r_version)) { + options(repos = "https://packagemanager.posit.co/cran/2022-01-03/") +} else if (grepl("^4.3", r_version)) { + options(repos = "https://packagemanager.posit.co/cran/2023-04-20/") +} else { + options(repos = "https://cran.rstudio.com") +} + +if (!requireNamespace("remotes", quietly = TRUE)) { + install.packages("remotes") +} +remotes::install_deps(dependencies = TRUE) +remotes::install_github("pharmaverse/pharmaversesdtm", ref = "devel") +remotes::install_github("pharmaverse/admiraldev", ref = "devel") +rcmdcheck::rcmdcheck() +``` + +This will ensure that the exact package versions we use in the workflow are installed into the hidden folder `.library`. That way your existing R packages are *not* overwritten. + +## Package Dependencies + + > checking package dependencies ... ERROR + Namespace dependency not required: ‘pkg’ + +Add `pkg` to the `Imports` or `Suggests` field in the `DESCRIPTION` file. In general, dependencies should be listed in the `Imports` field. However, if a package is only used inside vignettes or unit tests it should be listed in `Suggests` because all `{admiral}` functions would work without these "soft" dependencies being installed. + +## Global Variables + + ❯ checking R code for possible problems ... NOTE + function_xyz: no visible binding for global variable ‘some_var’ + +Add `some_var` to the list of "global" variables in `R/globals.R`. + +## Undocumented Function Parameter + + ❯ checking Rd \usage sections ... WARNING + Undocumented arguments in documentation object 'function_xyz' + ‘some_param’ + +Add an `@param some_param` section in the header of `function_xyz()` and run `devtools::document()` afterwards. + +## Outdated Documentation + + ❯ checking for code/documentation mismatches ... WARNING + Codoc mismatches from documentation object 'function_xyz': + ... + Argument names in code not in docs: + new_param_name + Argument names in docs not in code: + old_param_name + Mismatches in argument names: + Position: 6 Code: new_param_name Docs: old_param_name + +The name of a parameter has been changed in the function code but not yet in the header. Change `@param old_param_name` to `@param new_param_name` and run `devtools::document()`. + +For further reading we recommend the [R-pkg manual r-cmd chapter](https://r-pkgs.org/r-cmd-check.html) + diff --git a/vignettes/release_strategy.Rmd b/vignettes/release_strategy.Rmd new file mode 100644 index 0000000000..38ccc83485 --- /dev/null +++ b/vignettes/release_strategy.Rmd @@ -0,0 +1,169 @@ +--- +title: "Release Strategy" +output: + rmarkdown::html_vignette: + toc: true + toc_depth: 6 +vignette: > + %\VignetteIndexEntry{Release Strategy} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) + +library(dplyr) +library(reactable) +``` + +# Introduction + +This article explains how we do package releases for `{admiral}` and across all our +package extensions. This includes details around planned/scheduled releases, as well +as hotfixes. + +# Release Schedule + +A release schedule is maintained on the [homepage](https://pharmaverse.github.io/admiral/#release-schedule). + +# Planning Releases + +In the past, whenever we started looking towards a future release, we would create +a new release issue label on GitHub of the form `release Q4-2022` and **prioritize** +these issues. However, as our backlog is minimal every issue should be considered +a Priority Issue. If an issue is not a Priority, then it should be sent back to +a Discussion Tab and formed into a Priority issue. + +We should share in advance with our users a high level summary of expected package +updates via the community meetings, especially any anticipated breaking changes. + +# Package Release Process + +In the following the most important steps for a planned release and a hot fix +release are described. Depending on the package it may be helpful to use +`usethis::use_release_issue()` with a package-specific `release_bullets()` +function. + +## Planned Release + +A package release is done in the following steps: + +1) Create the release version: +a) Create a new feature branch from `main`. +a) Call `usethis::use_version()` to update the `Versions:` field in the +`DESCRIPTION` file and update `NEWS.md` (replace "(development version)" +with the version to be released) +a) Create a PR into `main` and merge it. The title of the PR must contain "[skip vbump]". +Otherwise, the vbump workflow sets the version to a development version and +CRAN will reject the submission. +1) Bundle up from `main` (`devtools::build(manual = TRUE)`) and send off to +CRAN. See the [chapter](https://r-pkgs.org/release.html#decide-the-release-type) +in R Packages for more details. +1) If CRAN asks for modifications, repeat steps 1-2 as necessary. +1) Once the package is accepted and available on CRAN, use the release button on +GitHub to "release" the package onto GitHub, select the `main` branch as target, +and use a tag of the form `vX.Y.Z`, e.g., `v1.1.2` (see past [admiral +releases](https://github.com/pharmaverse/admiral/releases) for reference and +[Releasing to Github](release_strategy.html#releasing-to-github) section for +more details). + +This releases onto Github archives the version of code within the `main` branch, +attaches the News/Changelog file, bundles the code into a `tar.gz` file and +makes a validation report via the GitHub action `validation` from +[insightsengineering/validatoR](https://github.com/insightsengineering/thevalidatoR). + +It also builds the website for the released version and stores it in a new +`vx.y.z` folder on the `gh-pages` branch. + +1) Merge `main` into `patch` to be prepared in case of a needed hotfix. +1) Create the next development version: +a) Create a new feature branch from `main`. +a) Call `usethis::use_dev_version()` to update `NEWS.md` (adds a new +section `# admiral (development version)`) and update the version in the +`DESCRIPTION` file to a development version. +a) Create a PR into `main` and merge it. + +## Hot Fix Release + +Rarely, we may need to release a hot fix to immediately address a bug. In the +majority of cases, an off-cycle release can be made directly from the `main` +branch, where bug fixes and new features would be released earlier than planned, +thus avoiding the `patch` branch release. + +A hot fix release is done in the following steps: + +1) Identify all the bugs that need to be fixed for this hot fix release and +label them with the "hotfix" label. +1) Branches addressing the bugs should have Pull Requests merged into a single +`patch` branch **NOT** the `main` branch, where the `patch` branch has been +created from the most recent release of the package. To do this, run the following git commands: + +`git checkout -b patch vX.Y.Z` + +`git push -u origin patch` + +There is no need to use +development versions. I.e., the first pull request should set the version in +`DESCRIPTION` to the version to be released and a corresponding heading should +be added to `NEWS.md`. + +1) When naming the branch follow the [naming conventions](git_usage.html#implementing-an-issue) guide. + +1) If all PRs for the hot fix are merged (to `patch`), bundle up from `patch` +(`devtools::build(manual = TRUE)`) and send off to CRAN. See the +[chapter](https://r-pkgs.org/release.html#decide-the-release-type) in R Packages +for more details. + +1) If CRAN asks for modifications, repeat steps 1-4 as necessary. + +1) Once the package is accepted and available on CRAN, , use the release button + +on GitHub to "release" the package onto GitHub, select the `patch` branch as +target, and use a tag of the form `vX.Y.Z`, e.g., `v1.1.2` (see past [admiral +releases](https://github.com/pharmaverse/admiral/releases) for reference and +[Releasing to Github](release_strategy.html#releasing-to-github) section for +more details). + +This releases onto Github archives the version of code within the `patch` +branch, attaches the News/Changelog file, bundles the code into a `tar.gz` file +and makes a validation report via the GitHub action `validation` from +[insightsengineering/validatoR](https://github.com/insightsengineering/thevalidatoR). + +It also builds the website for the released version and stores it in a new +`vx.y.z` folder on the `gh-pages` branch. + +1) These hot fixes should then be merged into the `main` branch through an +additional Pull Request. Merging the PR will update the version in the +`DESCRIPTION` file to a development version. +1) Create the next development version: +a) Create a new feature branch from `main`. +a) Update `NEWS.md` (add a new section `# admiral (development version)`) +a) Create a PR into `main` and merge it. + +# Releasing to Github +Under the [Releases](https://github.com/pharmaverse/admiral/releases) section in the main repo, select `Draft a New Release`. Proceed by creating the appropriate release tag and header, denoted as `vX.X.X` and `admiral X.X.X` respectively, for the release: + +![](https://user-images.githubusercontent.com/43018762/228875673-5b6daa64-1909-47c9-bd61-69b810c2f742.png) + +Copy the contents of the `NEWS.md` section for the release, paste it into the release notes section: + +![](https://user-images.githubusercontent.com/43018762/228875743-d17729fe-9b38-432a-9bb0-5fdc157ec231.png) + +Then in the upload box where it says, "Attach binaries by dropping them here or selecting them" upload the appropriate `admiral_X.X.X.tar.gz` file available for download at the [CRAN website](https://cran.r-project.org/web/packages/admiral/index.html). Click `Publish Release` and you're all done! + +**NB:** Occasionally, you might need to delete the tag when something is done in error. Deleting a tag can not be done on GitHub and must be done in the terminal. However, it is very easy!! Just use: + +`git push --delete origin tagname` + +# Release Tracking + +When a new package release has been submitted to CRAN and is awaiting go-live, you can track its status by searching for it within [this dashboard](https://r-hub.github.io/cransays/articles/dashboard.html). + +# Communications + +After the release, we raise awareness via our Slack channel and LinkedIn. + diff --git a/vignettes/test_data_guidance.Rmd b/vignettes/test_data_guidance.Rmd new file mode 100644 index 0000000000..7c1aa005c8 --- /dev/null +++ b/vignettes/test_data_guidance.Rmd @@ -0,0 +1,20 @@ +--- +title: "Test Data Guidance" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Test Data Guidance} + %\VignetteEngine{knitr::rmarkdown} +--- + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +There are two test data packages that enable any Pharmaverse package development team to re-use test SDTM and ADaM: + +- [`{pharmaversesdtm}`](https://github.com/pharmaverse/pharmaversesdtm): a data package that stores test SDTM data. If the current available data does not meet your need, update or add the new data in this package based on the instructions provided on the [How to Update](https://pharmaverse.github.io/pharmaversesdtm/cran-release/). + +- [`{pharmaverseadam}`](https://github.com/pharmaverse/pharmaverseadam): a data package that stores test ADaM data created from {admiral} templates. There is an integration test that runs {admiral} templates and compares them with the stored version. 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z#k#2g>dZ=d5-NFFlWez>d&NxA*}?!?bkN*@dhbJ|H)-erw_j^Gy!s7}N8zp>0k12$ zbvYuj+DTmx|L@6vZS2#l-=pW@wH?vnCB{sQqU$+6o_l*(rR%n$_*1rL{&q2*Z_p-7 zYfOXEH*Vkq*RTKd0{a@7eqV}A2m0Pz#Z`jHi+PA_Bk)Ui0ql?g6@-|K^Qv~3jSy8~ zOH78-0sWc#Z)isv`<}|~x9%TNu;3s53;@@wxW41dUf?Yt^tqx8x<^?J48A)N7`rCz f^|0a5 + %\VignetteIndexEntry{Unit Test Guidance} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + + +# Why Write Unit Tests? + +## Unit Tests Become a Safety Net for Developers + +A comprehensive suite of unit tests can act as a safety net for developers. By +frequently running the tests, they can assure their recent modifications to the +code haven’t broken anything. In other words, unit tests help prevent regressions. + +## Unit Tests Can Contribute to Higher Code Quality + +Since unit tests act as a safety net, developers become more confident when +changing the code. They can refactor the code without fear of breaking things, +driving the general quality of the code base up. + +## Unit Tests Can Contribute to Better Application Architecture + +If you can add unit tests easily to a code base, that’s usually a good sign +regarding the quality of the app’s architecture. So, the drive to write testable +code can be an incentive for better architecture. + +## Detects Code Smells in your Codebase + +If ease of adding unit tests to a code base is a good sign, the opposite is also +true. Having a hard time creating unit tests for a given piece of code might be +a sign of code smells in the code—e.g. functions that are too complex. + +# Writing Good Unit Tests + +## Tests Should Be Fast + +If they’re slow, developers won’t run them as often as they should. That defeats +the whole purpose of having a suite of unit tests in the first place, which is +to boost the developers’ confidence to make changes to the code. The tests can’t +work as the safety net if they’re not run often. + +## Tests Should Be Simple + +There are several techniques we can apply to have a high degree of confidence in +the correctness of our tests. One of those is to keep your tests with low +cyclomatic complexity. Cyclomatic complexity is a code metric that indicates the +number of possible execution paths a given method can follow. A piece of code +with lower complexity is easier to understand and maintain, which means developers +are less likely to introduce bugs when working on it. We can measure the +cyclomatic complexity of your tests (using, for instance, a linter tool) and do +your best to keep it low. + +## Test Shouldn’t Duplicate Implementation Logic + +If the same person wrote both the test and the implementation, it’s possible they +made the same errors in both places. Since the tests mirror the implementation, +they might still pass, and the implementation could be wrong, but the tests might +fool you into thinking otherwise. Resist the urge to make your tests fancy, keep +them simple, and your testing suite will be better for it. + +## Tests Should Be Readable + +This best practice overlaps a little bit with the one about keeping your tests +simple. If tests are hard to read, developers are more likely to misunderstand +them and introduce bugs. Test cases could be used as a form of documentation, so +they obviously need to be readable. + +## Running Unit Tests Part of the Build Process + +Automate the whole process of running the unit tests and taking some action when +they fail. Your build process should execute your unit tests and mark the build +as broken when the tests fail. + +# Writing Unit Tests in {admiral} + +## Plan your Unit Tests + +Start by considering the derivation rule you are testing and the possible +arguments/flexibilities of your function code. Then plan which scenarios you will +test. These can either involve generating different input test cases or feeding +them into different calls of your function. + +## Test coverage + +Unit tests should cover the functionality of the function. +If another function `g()` is called within a function `f()`, the unit tests of `f()` should not test the functionality of `g()`. +This should be tested by the unit tests of `g()`, i.e. unit tests should be added at the lowest level. + +## Tests Should be Robust to Cover Realistic Data Scenarios + +For generating input test cases, it can be helpful to consider regular cases +(expected common data scenarios), boundary cases (where data points are close or +equal), and special cases (uncommon but valid data scenarios, e.g. missing or +special characters). Although you will never cover every single eventuality of +possible input data (no reliability testing method ever gives 100% certainty), +you do need to give confidence that the code is robust enough to work across most +data scenarios. + +## Testing Should Cover Possible Arguments + +For the different calls of your function, consider how the user might apply your +function and test a variety of possible calls, whilst still remembering the tips +above that tests should be fast and simple. +This is only needed in cases where the complexity and level of flexibility of +your function justifies it, e.g. see the test script: https://github.com/pharmaverse/admiral/blob/main/tests/testthat/test-derive_var_extreme_flag.R. + +## Exported Functions + +Don’t forget to add a unit test for each exported function. + +## Snapshot Testing + +Standard unit tests are not always convenient to record the expected behavior with code. +Some challenges include: + + - Output that is large, making it painful to define the reference output, and bloating the size of the test file and making it hard to navigate. + - Text output that includes many characters like quotes and newlines that require special handling in a string. + - Binary formats like plots or images, which are very difficult to describe in code: i.e. the plot looks right, the error message is useful to a human, the print method uses color effectively. + +For these situations, testthat provides an alternative mechanism: snapshot tests. +Snapshot tests record results in a separate human readable file and records the results, including output, messages, warnings, and errors. +Review the [{testthat} snapshot vignette](https://testthat.r-lib.org/articles/snapshotting.html) for details. + +## Set up the Test Script + +Within the `tests/testthat` folder of the project, add a script with the naming +convention `test-.R`., the unit test script can be +created from the console also, as follows: + +``` +usethis::use_test("") +``` +the testing framework used is testthat and has the following format : + +``` +## Test 1: ---- +test_that(" Test 1: ", { + + input <- dplyr::tribble( + ~inputvar1, ~inputvar2, ... + + ... + ) + + expected_output <- mutate(input, outputvar = c()) + + expect_dfs_equal((input), expected_output) + +}) +``` + +For example, if you are testing a function called `my_new_func` that is contained +in script `all_funcs.R` then from console use: + +``` +usethis::use_test("all_funcs") +``` + +Open the newly created file `test-all_funcs.R` and use the following format: + +``` +# my_new_func ---- +## Test 1: ---- +test_that("my_new_func Test 1: ", { + + input <- dplyr::tribble( + ~inputvar1, ~inputvar2, ... + + ... + ) + + expected_output <- mutate(input, outputvar = c()) + + expect_dfs_equal((input), expected_output) +}) +``` +**Note**: When comparing datasets in `{admiral}` we use function `expect_dfs_equal()`. + +The input and expected output for the unit tests must follow the following rules: + +* Input and output should be as simple as possible. +* Values should be hard-coded whenever possible. +* If values need to be derived, only unit tested functions can be used. + +In contrast to the [Programming Strategy](programming_strategy.html#function-header-documentation) documentation for function examples, test files should not include `library(pkg_name)` calls. +If a dataset needs to be created for testing purposes, it should be done so using the function `tribble()` from the `tibble` package with the following command `dplyr::tribble()`. +Furthermore, if other functions need to be called, it should also be done using `pkg_name::fun()`notation. +Make sure to align columns as well. This ensures quick code readability. + +Ensure you give a meaningful explanation of the test in the testthat call, as +these will be compiled in the package validation report. Having the name of the +function and test ID included in title will also help with traceability. + +The comments ending with `----` create entries in the TOC in RStudio. + +```{r echo=FALSE, out.width='120%'} +knitr::include_graphics("./unit_test_toc.png") +``` + + +## Addin `admiraldev::format_test_that_file()` + +To ease the burden on developers for writing and adding tests we have developed an Addin for formatting test_that test files according to admiral programming standards. The Addin will add and update comments as well as number or re-numbers the tests. Just use the Addin button and select the "Format +test_that test file" as seen in the image. Be sure to have the test-file open and selected when calling the Addin. + +```{r echo=FALSE, out.width='120%'} +knitr::include_graphics("./unit_test_format_tests.png") +``` + +The Addin will perform the following: + +- Updates or adds the number of the tests in the comments and in the +`test_that()` call +- Updates the comments based on the description provided in the `test_that()` +call +- Updates the function name in the `test_that()` call. The function name is +extracted from the last `# ----` comment before the +`test_that()` call. If a test file tests more than one function, such comments +should be added before the first test of each function. If a test files tests a +single function only, the comments can be omitted. In this case the addin +determines the function name from the file name by stripping of the "test-" +prefix and the ".R" suffix. + +When writing new unit tests, just provide a description in the `test_that()` +call and if necessary the function name in a `# ----` comment: +``` +# arg_name ---- +test_that("arg_name works", { + expect_equal(arg_name(sym("a")), "a") + expect_equal(arg_name(call("enquo", sym("a"))), "a") + expect_error(arg_name("a"), "Could not extract argument name from") +}) + +# convert_dtm_to_dtc ---- +test_that("works if dtm is in correct format", { + expect_equal( + convert_dtm_to_dtc(as.POSIXct("2022-04-05 15:34:07 UTC")), + "2022-04-05T15:34:07" + ) +}) + +test_that("Error is thrown if dtm is not in correct format", { + expect_error( + convert_dtm_to_dtc("2022-04-05T15:26:14"), + "lubridate::is.instant(dtm) is not TRUE", + fixed = TRUE + ) +}) +``` + +Call the addin and get: +``` +# arg_name ---- +## Test 1: arg_name works ---- +test_that("arg_name Test 1: arg_name works", { + expect_equal(arg_name(sym("a")), "a") + expect_equal(arg_name(call("enquo", sym("a"))), "a") + expect_error(arg_name("a"), "Could not extract argument name from") +}) + +# convert_dtm_to_dtc ---- +## Test 2: works if dtm is in correct format ---- +test_that("convert_dtm_to_dtc Test 2: works if dtm is in correct format", { + expect_equal( + convert_dtm_to_dtc(as.POSIXct("2022-04-05 15:34:07 UTC")), + "2022-04-05T15:34:07" + ) +}) + +## Test 3: Error is thrown if dtm is not in correct format ---- +test_that("convert_dtm_to_dtc Test 3: Error is thrown if dtm is not in correct format", { + expect_error( + convert_dtm_to_dtc("2022-04-05T15:26:14"), + "lubridate::is.instant(dtm) is not TRUE", + fixed = TRUE + ) +}) +``` + +Once you have tested your unit test program, you can run all unit tests from +the console, as follows. + +``` +devtools::test() +``` + +For running just the tests of the current file call + +``` +devtools::test_file() +``` + +## Automation of Unit Tests + +When a user actions a pull request in {admiral} GitHub repo, the unit tests are +automatically run and pull request will be denied if any unit tests fail. + +## Flow Chart + +```{r echo=FALSE, out.width='120%'} +knitr::include_graphics("./unit_test_guidance.png") +``` diff --git a/vignettes/unit_test_guidance.png b/vignettes/unit_test_guidance.png new file mode 100644 index 0000000000000000000000000000000000000000..0e0eb8f4087e35665d50dfe22604b6377935eda6 GIT binary patch literal 41600 zcmce;cT`i|*DZ{SAR_RH2+~zLgih#1kRFP3B3(%6AWb?5D2P&|C3FM?q$8nA5otma zdXZiO0@8cG2laV>?;ZEMUm4?$?~ja(?6c24yR1Fe+Htmvckj5x~n2DtLtUDmgeb2H`H*xci_+W;L%N@)_-_dn1i0rUVZTX>+44W zugK-(*oE7L@2QC(K%P+77~Dh8T6BZKgiD*^y6}3<9P8+h8oEx`>YNSdCbvZ!YXj?? zA-flzT_@h@1`=+IYLlqaDJemTIJvLFu|9mL^76R?`MALlj#qCA?Y<2c8!hjRm_@7H zq{HADL_0*N%+8n-^wNJ?sc>vlb6dZ^E}D2!{S#fNyqoI-Xz-?<)r*f(Vkq1?EO!#YQM=wc@5fK^6<~S7K;ew}*bUO$NZ{*@Jt_R?HTmQ4c0+6LS}}dFP14YlfaO#% zT`3i@#5&MDO@&a;X$JK)@u7RFqIL99c@K4tKD2T!(P4tM+>?F7b*qi0cD7fawL3Dm 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Q^BCw*Rn$_bmA4N6FU)6>Gynhq literal 0 HcmV?d00001 diff --git a/vignettes/visits_periods.Rmd b/vignettes/visits_periods.Rmd index 918031548e..2ffea9ae64 100644 --- a/vignettes/visits_periods.Rmd +++ b/vignettes/visits_periods.Rmd @@ -204,8 +204,8 @@ period_ref <- ex %>% APERSDT = convert_dtc_to_dt(EXSTDTC) ) %>% # Create APEREDT based on start date of next period - arrange(USUBJID, APERSDT) %>% - group_by(USUBJID) %>% + arrange(!!!get_admiral_option("subject_keys"), APERSDT) %>% + group_by(!!!get_admiral_option("subject_keys")) %>% mutate( APEREDT = lead(APERSDT) - 1 # one day before start of next period ) %>% diff --git a/vignettes/writing_vignettes.Rmd b/vignettes/writing_vignettes.Rmd new file mode 100644 index 0000000000..6bd3261900 --- /dev/null +++ b/vignettes/writing_vignettes.Rmd @@ -0,0 +1,257 @@ +--- +title: "Writing Vignettes" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Writing Vignettes} + %\VignetteEngine{knitr::rmarkdown} +--- + +```{r setup, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +# Introduction + +This guidance ensures consistency across the vignettes in the `{admiral}` package in terms of content, structure and code execution. +As a general rule, the vignette workflow defined in [r-pkgs.org](https://r-pkgs.org/vignettes.html) is followed. + + +# Metadata + +Each vignette in `{admiral}` should start with the following metadata. + +``` +--- +title: "" +output: rmarkdown::html_vignette: +vignette: > + %\VignetteIndexEntry{<Title>} + %\VignetteEngine{knitr::rmarkdown} +--- +``` + +The `<Title>` of the vignette should be meaningful. + +# Markdown + +## Default Options + +If any chunks are used within the vignette, the following options should be set after the metadata +to ensure that the chunks are rendered consistently across all vignettes. + + `r ''````{r setup, include=FALSE} + knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" + ) + ``` + + +## Format Sections + +### Table of Contents + +Headings must be title case and start from Heading 1: + +``` +# Heading 1 +This is the description of my first section. + +## Heading 1.1 +This is the description of my first sub-section within my first section. + +## Heading 1.2 +This is the description of my second sub-section within my first section. + +``` + +The first section gives a brief introduction of the vignette. The last sub-section +of the introduction should describe the packages required to run the `{admiral}` functions. +The `{admiral}` package should be described first. + +``` +# Introduction + +This is the introduction of my vignette. + +## Required Packages +``` + + `r ''````{r, warning=FALSE, message=FALSE} + library(admiral) + # <all packages used in the vignette> + ``` + +The `warning=FALSE` and `message=FALSE` options are there to prevent the usual messages: + +<span style="color: red;font-family: textmate, monospace; font-size = 10pt;" >Attaching package: 'xxxx'</br>The following objects are masked from 'package:yyyyy'</br> fun1, fun2</span> + +### Conventions + +#### General Conventions + ++ Any new vignette must be added to the `_pkgdown.yml` file in the relevant section. + ++ Any variable name, dataset name, function, argument name must be quoted with backticks: e.g. + + +``` + The `date` parameter of the `derive_my_var()` function expects a date variable, e.g., `ADT`. +``` + ++ Functions must also end with `()`. + ++ Variables and datasets name are expected to be uppercase. + ++ All the codes must be described, executed and the output result displayed once the code is executed. +Use: + + + `r ''````{r} + #<code> + ``` + ++ Any output created must clearly show what the function has derived. +It should at least show the variables/records used as input to the function and the derived +variables/records. If a dataset must be displayed, it will be formatted using the `dataset_vignette()` +function so that it is displayed consistently across the vignettes.E.g. + + + + Description and execution of the code used to derive the variable/record + + + +```{r, include=FALSE} +library(lubridate) +library(dplyr) +library(DT) + +data(vs) +vs <- tribble( + ~USUBJID, ~VSTESTCD, ~VISIT, ~VSDTC, + "01-701-1015", "WEIGHT", "BASELINE", "2013-12-26", + "01-701-1015", "WEIGHT", "WEEK 2", "2014-01-14", + "01-701-1016", "WEIGHT", "BASELINE", "2014-01-06", + "01-701-1016", "WEIGHT", "WEEK 2", "2014-01-22", +) +``` + +```{r, eval=FALSE, echo=TRUE} +vs1 <- vs %>% + derive_vars_dt( + new_vars_prefix = "A", + dtc = VSDTC, + date_imputation = "first" + ) +``` + + + + Output dataset formatted using `dataset_vignette()`... + +```{r, eval=FALSE, echo=FALSE} +vs1 <- vs %>% + derive_vars_dt( + new_vars_prefix = "A", + dtc = VSDTC, + date_imputation = "first" + ) + +dataset_vignette( + vs1, + display_vars = exprs(USUBJID, VSTESTCD, VISIT, VSDTC, ADT), + filter = VSTESTCD == "WEIGHT" +) +``` + + +Note: The call to get the formatted dataset would be: + + + ```{r, eval=FALSE, echo=TRUE} +dataset_vignette( + vs1, + display_vars = exprs(USUBJID, VSTESTCD, VISIT, VSDTC, ADT), + filter = VSTESTCD == "WEIGHT" +) + ``` + +Displaying many big datasets on a vignette, may require a long time to load +the page and may cause messages from the browser that the page is not +responsive. In this case the number of displayed observations should be +restricted either by restricting the source datasets at the beginning of the +vignette or in the call of `dataset_vignette()` if only some calls are +affected. + +#### Using Footnotes + +Footnotes can be useful to add context without adding clutter to the primary subject matter of the vignette being written. + +To use footnotes, add a caret and an identifier inside brackets e.g. `([^1])`. The identifiers can be numbers or words, but they can’t contain spaces or tabs. + +The following markdown text will render as follows: + +``` +Here is an example [^1] + +[^1]: Cool note about the example. +``` + +Here is an example [^2] + +[^2]: Cool note about the example. + + +#### Conventions for ADaM Workflow + +For vignettes describing an ADaM workflow, + ++ the second section will summarize the programming workflow. The first sub-section within this +workflow will always describe the data read to demonstrate the use of the `{admiral}` functions, + ++ Each sub-section within the programming workflow should be tagged (e.g. [Step1] (#step)), so that +the user can go on the relevant section from the programming workflow (in addition to the Table of +contents). Don't use a tag with a number but use a meaningful name (e.g. do not use `(#link1)`, +but use `(#this_action)`) + ++ the last section should link to a template script. + + +``` +# Programming Workflow + +* [Read in Data](#readdata) +* [Derive/Impute End and Start Analysis Date/time and Relative Day](#datetime) +* ... +* [Assign `ASEQ`](#aseq) + +## Read in Data {#readdata} +## Derive/Impute End and Start Analysis Date/time and Relative Day {#datetime} +## ... +## Assign `ASEQ` {#aseq} + +# Another Section + +# Example Script +ADaM | Sample Code +---- | -------------- +ADxx | [ad_adxx.R](https://github.com/pharmaverse/admiral/blob/main/inst/templates/ad_adxx.R){target="_blank"} + +``` + ++ `ADSL` variables + + All `ADSL` variables which are required for any derivation are merged to the SDTM dataset before the + first derivation. + These `ADSL` variables have to be added to the by-variables for derivations which add observations. + This ensures that the `ADSL` variables are populated `for` the new observations. + A `adsl_vars` variable should be created at the beginning of the script and added to the `by_vars` + parameter for derivations which add observations. + + `ADSL` variables which should be in the final dataset but are not required for any derivation are + merged to the dataset after the last derivation. + + + From e379b8f8a54eaa771e2aff1b9246147056253a34 Mon Sep 17 00:00:00 2001 From: ProfessorP <pwebster26@gmail.com> Date: Thu, 6 Jun 2024 11:20:58 -0400 Subject: [PATCH 18/22] updated wordlist with spellcheck package --- inst/WORDLIST | 66 +++++++++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 61 insertions(+), 5 deletions(-) diff --git a/inst/WORDLIST b/inst/WORDLIST index 3dd2faf67f..1483f4f0af 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -11,7 +11,9 @@ ADPC ADPP ADPPK ADSL +ADT ADVS +ADXX ADaM ADaMIG ADaMs @@ -32,6 +34,8 @@ ATC ATOXGR AVAL Abercrombie +Addin +Addins Akinyi Alanine Alkalosis @@ -50,6 +54,7 @@ Bazett's Biologics CDISC CKD +CMD COVID CPK CQ @@ -62,18 +67,23 @@ CTCAEv CVD Carlucci Chakma +Changelog Cheatsheet Chemistries Chol Cockcroft +Codebase +Codeowners Creat Creatine Creatinine -cyclomatic +Cyclomatic DAIDS DAIDs DIABP DILI +DM +DS DT DTC DTF @@ -107,6 +117,7 @@ GRPNAME GSK Gault Gehan +Github GlaxoSmithKline Glomerular Golab @@ -128,9 +139,9 @@ Hypokalemia Hypomagnesemia Hyponatremia Hypophosphatemia -Iain IG INR +Iain Jaxon Jordanna Kabi @@ -147,6 +158,7 @@ LLOQ LOCF Leena Leukocytosis +LinkedIn Lipase Liu MDRD @@ -179,10 +191,11 @@ Ondrej PARAM PARAMCD PARAMN +PHUSE PLDOSE +PRs PTT Param -param Pavan Pharma Pharmacokinetic @@ -193,10 +206,14 @@ Pooja Pre QD QID +Quosure README +RStudio Rahal Ratford +Rimler Romain +Roxygen SCE SCN SCOPEN @@ -224,6 +241,7 @@ Syed Sys TADJ TADJAE +TAs TBC TDOSE TDURD @@ -233,7 +251,9 @@ TID TLFs TMF TNDOSINT +TOC TPDOSE +TTE Takahira Teckla Thanikachalam @@ -242,35 +262,47 @@ USUBJID USUBJIDs Upadhyay VAD +VSDTC +VSTESTCD Vignesh WBC Walkowiak -Walkthrough Wenyi XXXXXXXX +YAML Yohann acknowledgements +addin +adex +adlb admiralci admiraldev admiralonco admiralophtha +admiraltemplate admiralvaccine admiralxxx adsl +advs alanine aminotransferase analyte analytes analytics +anonymized anticoagulation aspartate basetypes bds censorings chk +cmd codebase +codeowner constructible creatinine +customised +cyclomatic dL datepart datetime @@ -279,8 +311,11 @@ deps der desc deteriorations +dev +developers’ dplyr ds +dtc dthcaus eGFR eg @@ -289,11 +324,19 @@ evaluable exprs fil findable +flexibilities fmt framingham +functions’ funder glomerular groupwise +hotfix +hotfixes +insightsengineering +knitr +linter +lintr lockfile lubridate mL @@ -306,15 +349,19 @@ modularized msec nd occds +onboarding onwards +optionality parttime pharmaverse pharmaverseadam pharmaversesdtm phosphatase +pkgs pre prev prm +proc quosures recoded renv @@ -325,13 +372,17 @@ roche roxygen scalable signif +styler +stylesheet submittable subperiod subperiods subscale summarization +testthat th thromboplastin +tibble tidyselect tidyverse timeframe @@ -340,8 +391,13 @@ timepoint tte umol ungrouped -unintuitive +unmerged +useR usethis +validatoR +vbump xULN xportr xpt +xxxx +yyyyy From 6932070fabf53c192464f0035f47dc014fef859d Mon Sep 17 00:00:00 2001 From: ProfessorP <pwebster26@gmail.com> Date: Thu, 6 Jun 2024 11:47:33 -0400 Subject: [PATCH 19/22] additional USUBJID and STUDYID fixes --- R/assertions.R | 2 +- inst/templates/ad_adae.R | 8 ++++---- inst/templates/ad_adlbhy.R | 8 ++++---- inst/templates/ad_adpc.R | 20 ++++++++++---------- inst/templates/ad_adppk.R | 22 +++++++++++----------- inst/templates/ad_advs.R | 10 +++++----- vignettes/admiral.Rmd | 6 +++--- vignettes/bds_exposure.Rmd | 6 +++--- vignettes/bds_finding.Rmd | 10 +++++----- vignettes/occds.Rmd | 4 ++-- vignettes/writing_vignettes.Rmd | 16 +++++++++------- 11 files changed, 57 insertions(+), 55 deletions(-) diff --git a/R/assertions.R b/R/assertions.R index 62c014ceec..048b5c6018 100644 --- a/R/assertions.R +++ b/R/assertions.R @@ -31,7 +31,7 @@ #' ) #' #' example_fun <- function(dataset) { -#' assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) +#' assert_data_frame(dataset, required_vars = get_admiral_option("subject_keys")) #' } #' #' example_fun(dm) diff --git a/inst/templates/ad_adae.R b/inst/templates/ad_adae.R index 520e301ea6..221c600906 100644 --- a/inst/templates/ad_adae.R +++ b/inst/templates/ad_adae.R @@ -40,7 +40,7 @@ adae <- ae %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by = exprs(STUDYID, USUBJID) + by_vars = get_admiral_option("subject_keys") ) %>% ## Derive analysis start time ---- derive_vars_dtm( @@ -88,7 +88,7 @@ adae <- adae %>% ## Derive last dose date/time ---- derive_vars_joined( dataset_add = ex_ext, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -116,7 +116,7 @@ adae <- adae %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = !!!get_admiral_option("subject_keys"), order = exprs(desc(ASEVN), ASTDTM, AESEQ), new_var = AOCCIFL, mode = "first" @@ -128,7 +128,7 @@ adae <- adae %>% adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = get_admiral_option("subject_keys") ) diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index 0870bfc55e..5051c0f66d 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -43,7 +43,7 @@ adlb_annotated <- adlb %>% ) ) ) %>% - select(STUDYID, USUBJID, TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) + select(!!!get_admiral_option("subject_keys"), TRT01A, PARAMCD, LBSEQ, ADT, AVISIT, ADY, AVAL, ANRHI, CRIT1, CRIT1FL) # Subset Datasets altast_records <- adlb_annotated %>% @@ -56,7 +56,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = !!!get_admiral_option("subject_keys"), order = exprs(ADY), join_type = "all", filter_join = ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", @@ -65,11 +65,11 @@ hylaw_records <- derive_vars_joined( ) hylaw_records_pts_visits <- hylaw_records %>% - select(STUDYID, USUBJID, TRT01A) %>% # add AVISIT, ADT for by visit + select(!!!get_admiral_option("subject_keys"), TRT01A) %>% # add AVISIT, ADT for by visit distinct() hylaw_records_fls <- hylaw_records %>% - select(STUDYID, USUBJID, TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit + select(!!!get_admiral_option("subject_keys"), TRT01A, CRIT1FL, BILI_CRITFL) %>% # add AVISIT, ADT for by visit distinct() # Create new parameters based on records that present potential case diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index a307f86636..005b1d07ba 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -75,7 +75,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = !!!get_admiral_option("subject_keys") ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -102,7 +102,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = !!!get_admiral_option("subject_keys") ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -199,7 +199,7 @@ adpc_first_dose <- pc_dates %>% adpc_prev <- adpc_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -218,7 +218,7 @@ adpc_prev <- adpc_first_dose %>% adpc_next <- adpc_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_next = ADTM, EXDOSE_next = EXDOSE, AVISIT_next = AVISIT, @@ -237,7 +237,7 @@ adpc_next <- adpc_prev %>% adpc_nom_prev <- adpc_next %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -253,7 +253,7 @@ adpc_nom_prev <- adpc_next %>% adpc_nom_next <- adpc_nom_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_next = NFRLT), join_vars = exprs(NFRLT), @@ -459,7 +459,7 @@ adpc_aseq <- adpc_chg %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM, BASETYPE, EVID, AVISITN, ATPTN, PARCAT1, DTYPE), check_type = "error" ) %>% @@ -479,13 +479,13 @@ adpc_baselines <- adpc_aseq %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(HTBL = VSSTRESN, HTBLU = VSSTRESU) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(WTBL = VSSTRESN, WTBLU = VSSTRESU) ) %>% mutate( @@ -499,7 +499,7 @@ adpc_baselines <- adpc_aseq %>% adpc <- adpc_baselines %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) # Final Steps, Select final variables and Add labels diff --git a/inst/templates/ad_adppk.R b/inst/templates/ad_adppk.R index d100d968b9..62a0c60ea5 100644 --- a/inst/templates/ad_adppk.R +++ b/inst/templates/ad_adppk.R @@ -54,7 +54,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -79,7 +79,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -175,7 +175,7 @@ adppk_first_dose <- pc_dates %>% adppk_prev <- adppk_first_dose %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADTM), new_vars = exprs( ADTM_prev = ADTM, EXDOSE_prev = EXDOSE, AVISIT_prev = AVISIT, @@ -194,7 +194,7 @@ adppk_prev <- adppk_first_dose %>% adppk_nom_prev <- adppk_prev %>% derive_vars_joined( dataset_add = ex_exp, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(NFRLT), new_vars = exprs(NFRLT_prev = NFRLT), join_vars = exprs(NFRLT), @@ -321,7 +321,7 @@ adppk_aseq <- adppk_aval %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(AFRLT, EVID, CMT), check_type = "error" ) %>% @@ -399,7 +399,7 @@ covar <- adsl %>% REGION1N = COUNTRYN, ) %>% select( - STUDYID, STUDYIDN, SITEID, SITEIDN, USUBJID, USUBJIDN, + !!!get_admiral_option("subject_keys"), STUDYIDN, SITEID, SITEIDN, USUBJIDN, SUBJID, SUBJIDN, AGE, SEX, SEXN, COHORT, COHORTC, ROUTE, ROUTEN, RACE, RACEN, ETHNIC, ETHNICN, FORM, FORMN, COUNTRY, COUNTRYN, REGION1, REGION1N @@ -410,24 +410,24 @@ covar <- adsl %>% labsbl <- lb %>% filter(LBBLFL == "Y" & LBTESTCD %in% c("CREAT", "ALT", "AST", "BILI")) %>% mutate(LBTESTCDB = paste0(LBTESTCD, "BL")) %>% - select(STUDYID, USUBJID, LBTESTCDB, LBSTRESN) + select(!!!get_admiral_option("subject_keys"), LBTESTCDB, LBSTRESN) covar_vslb <- covar %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "HEIGHT", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(HTBL = VSSTRESN) ) %>% derive_vars_merged( dataset_add = vs, filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(WTBL = VSSTRESN) ) %>% derive_vars_transposed( dataset_merge = labsbl, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), key_var = LBTESTCDB, value_var = LBSTRESN ) %>% @@ -454,7 +454,7 @@ covar_vslb <- covar %>% adppk <- adppk_aseq %>% derive_vars_merged( dataset_add = covar_vslb, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% arrange(STUDYIDN, USUBJIDN, AFRLT, EVID) %>% mutate(RECSEQ = row_number()) diff --git a/inst/templates/ad_advs.R b/inst/templates/ad_advs.R index 06fb2210d0..e16bb36c22 100644 --- a/inst/templates/ad_advs.R +++ b/inst/templates/ad_advs.R @@ -81,7 +81,7 @@ advs <- vs %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) %>% ## Calculate ADT, ADY ---- derive_vars_dt( @@ -121,7 +121,7 @@ advs <- advs %>% set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) + constant_by_vars = get_admiral_option("subject_keys") ) %>% # Derive Body Mass Index derive_param_bmi( @@ -129,7 +129,7 @@ advs <- advs %>% set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) + constant_by_vars = get_admiral_option("subject_keys") ) @@ -272,7 +272,7 @@ advs <- advs %>% # Calculate ASEQ derive_var_obs_number( new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN, DTYPE), check_type = "error" ) %>% @@ -287,7 +287,7 @@ advs <- advs %>% advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) # Final Steps, Select final variables and Add labels diff --git a/vignettes/admiral.Rmd b/vignettes/admiral.Rmd index 44f7a495dd..f009dd0223 100644 --- a/vignettes/admiral.Rmd +++ b/vignettes/admiral.Rmd @@ -128,7 +128,7 @@ adsl <- adsl %>% new_vars = exprs(TRTSDTM = EXSTDTM, TRTSTMF = EXSTTMF), order = exprs(EXSTDTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -208,7 +208,7 @@ of the Final Lab Visit Date (`FINLABDT`) in the example below: adsl <- dm %>% derive_vars_merged( dataset_add = ds, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(FINLABDT = convert_dtc_to_dt(DSSTDTC)), filter_add = DSDECOD == "FINAL LAB VISIT" ) @@ -250,7 +250,7 @@ below we use `filter_extreme()` to extract the most recent MAP records in `advs` advs_lastmap <- advs %>% filter(PARAMCD == "MAP") %>% filter_extreme( - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(AVISITN, PARAMCD), mode = "last" ) diff --git a/vignettes/bds_exposure.Rmd b/vignettes/bds_exposure.Rmd index 4debbc39d2..d1f537fd41 100644 --- a/vignettes/bds_exposure.Rmd +++ b/vignettes/bds_exposure.Rmd @@ -82,7 +82,7 @@ adex <- derive_vars_merged( ex, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(STUDYID, USUBJID) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -579,7 +579,7 @@ example call is: adex <- derive_var_obs_number( adex, new_var = ASEQ, - by_vars = exprs(STUDYID, USUBJID), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARCAT1, ASTDT, VISIT, VISITNUM, EXSEQ, PARAMN), check_type = "error" ) @@ -600,7 +600,7 @@ If needed, the other `ADSL` variables can now be added: adex <- adex %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(STUDYID, USUBJID) + by_vars = get_admiral_option("subject_keys") ) ``` ## Add Labels and Attributes {#attributes} diff --git a/vignettes/bds_finding.Rmd b/vignettes/bds_finding.Rmd index f7588bf774..88ae64988c 100644 --- a/vignettes/bds_finding.Rmd +++ b/vignettes/bds_finding.Rmd @@ -86,7 +86,7 @@ advs <- derive_vars_merged( vs, dataset_add = adsl, new_vars = adsl_vars, - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` @@ -319,7 +319,7 @@ advs <- derive_param_bsa( set_values_to = exprs(PARAMCD = "BSA"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) + constant_by_vars = get_admiral_option("subject_keys") ) advs <- derive_param_bmi( @@ -328,7 +328,7 @@ advs <- derive_param_bmi( set_values_to = exprs(PARAMCD = "BMI"), get_unit_expr = VSSTRESU, filter = VSSTAT != "NOT DONE" | is.na(VSSTAT), - constant_by_vars = exprs(!!!get_admiral_option("subject_keys")) + constant_by_vars = get_admiral_option("subject_keys") ) ``` @@ -832,7 +832,7 @@ example call is: advs <- derive_var_obs_number( advs, new_var = ASEQ, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), order = exprs(PARAMCD, ADT, AVISITN, VISITNUM, ATPTN), check_type = "error" ) @@ -890,7 +890,7 @@ List of ADSL variables already merged held in vector `adsl_vars` advs <- advs %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` diff --git a/vignettes/occds.Rmd b/vignettes/occds.Rmd index c07d34b71b..4150cc91db 100644 --- a/vignettes/occds.Rmd +++ b/vignettes/occds.Rmd @@ -239,7 +239,7 @@ ex_single <- derive_vars_dtm( adae <- derive_vars_joined( adae, ex_single, - by_vars = exprs(!!!get_admiral_option("subject_keys")), + by_vars = get_admiral_option("subject_keys"), new_vars = exprs(LDOSEDTM = EXSTDTM), join_vars = exprs(EXSTDTM), join_type = "all", @@ -485,7 +485,7 @@ If needed, the other `ADSL` variables can now be added: adae <- adae %>% derive_vars_merged( dataset_add = select(adsl, !!!negate_vars(adsl_vars)), - by_vars = exprs(!!!get_admiral_option("subject_keys")) + by_vars = get_admiral_option("subject_keys") ) ``` diff --git a/vignettes/writing_vignettes.Rmd b/vignettes/writing_vignettes.Rmd index 6bd3261900..6818129fdf 100644 --- a/vignettes/writing_vignettes.Rmd +++ b/vignettes/writing_vignettes.Rmd @@ -131,11 +131,11 @@ library(DT) data(vs) vs <- tribble( - ~USUBJID, ~VSTESTCD, ~VISIT, ~VSDTC, - "01-701-1015", "WEIGHT", "BASELINE", "2013-12-26", - "01-701-1015", "WEIGHT", "WEEK 2", "2014-01-14", - "01-701-1016", "WEIGHT", "BASELINE", "2014-01-06", - "01-701-1016", "WEIGHT", "WEEK 2", "2014-01-22", + ~STUDYID, ~USUBJID, ~VSTESTCD, ~VISIT, ~VSDTC, + "omep_1", "01-701-1015", "WEIGHT", "BASELINE", "2013-12-26", + "omep_1", "01-701-1015", "WEIGHT", "WEEK 2", "2014-01-14", + "omep_1", "01-701-1016", "WEIGHT", "BASELINE", "2014-01-06", + "omep_1", "01-701-1016", "WEIGHT", "WEEK 2", "2014-01-22", ) ``` @@ -161,7 +161,8 @@ vs1 <- vs %>% dataset_vignette( vs1, - display_vars = exprs(USUBJID, VSTESTCD, VISIT, VSDTC, ADT), + display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VISIT, VSDTC, ADT) + ), filter = VSTESTCD == "WEIGHT" ) ``` @@ -173,7 +174,8 @@ Note: The call to get the formatted dataset would be: ```{r, eval=FALSE, echo=TRUE} dataset_vignette( vs1, - display_vars = exprs(USUBJID, VSTESTCD, VISIT, VSDTC, ADT), + display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VISIT, VSDTC, ADT) + ), filter = VSTESTCD == "WEIGHT" ) ``` From bd1378fefc31eabc8d9b4b036a436c52ab184fca Mon Sep 17 00:00:00 2001 From: ProfessorP <pwebster26@gmail.com> Date: Thu, 6 Jun 2024 12:10:48 -0400 Subject: [PATCH 20/22] received some errors in devtools::check() that I investigated then reverted the files back to their original script. There is a missing dependency import for "glue" --- NAMESPACE | 2 +- R/hello.R | 8 ++++---- man/assert_data_frame.Rd | 2 +- man/hello.Rd | 11 ----------- 4 files changed, 6 insertions(+), 17 deletions(-) delete mode 100644 man/hello.Rd diff --git a/NAMESPACE b/NAMESPACE index 1bb86e7738..3a3d89c829 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -185,7 +185,6 @@ export(get_one_to_many_dataset) export(get_source_vars) export(get_summary_records) export(get_vars_query) -export(hello) export(impute_dtc_dt) export(impute_dtc_dtm) export(inner_join) @@ -247,6 +246,7 @@ importFrom(dplyr,group_by) importFrom(dplyr,group_by_at) importFrom(dplyr,if_else) importFrom(dplyr,lag) +importFrom(dplyr,left_join) importFrom(dplyr,mutate) importFrom(dplyr,n) importFrom(dplyr,n_distinct) diff --git a/R/hello.R b/R/hello.R index d8eb18e147..3964f5a120 100644 --- a/R/hello.R +++ b/R/hello.R @@ -1,9 +1,9 @@ #' Print Hello World #' #' @export -#' @return +#' @return Hello World! #' #' @examples -hello <- function() { - print("Hello World!") -} +#' hello <- function() { +#' print("Hello World!") +#' } diff --git a/man/assert_data_frame.Rd b/man/assert_data_frame.Rd index ce8692cd77..40e2fd4805 100644 --- a/man/assert_data_frame.Rd +++ b/man/assert_data_frame.Rd @@ -66,7 +66,7 @@ dm <- tribble( ) example_fun <- function(dataset) { - assert_data_frame(dataset, required_vars = exprs(STUDYID, USUBJID)) + assert_data_frame(dataset, required_vars = get_admiral_option("subject_keys")) } example_fun(dm) diff --git a/man/hello.Rd b/man/hello.Rd deleted file mode 100644 index 069fe274c3..0000000000 --- a/man/hello.Rd +++ /dev/null @@ -1,11 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/hello.R -\name{hello} -\alias{hello} -\title{Print Hello World} -\usage{ -hello() -} -\description{ -Print Hello World -} From 5b975ff13865cb27b05721d3ae469b2c2294ce9a Mon Sep 17 00:00:00 2001 From: ProfessorP <pwebster26@gmail.com> Date: Thu, 6 Jun 2024 12:38:00 -0400 Subject: [PATCH 21/22] addressed missed replacements in inst/templates scripts --- R/assertions.R | 2 +- R/create_single_dose_dataset.R | 8 +- R/hello.R | 2 +- R/period_dataset.R | 6 +- inst/templates/ad_adae.R | 2 +- inst/templates/ad_adlbhy.R | 6 +- inst/templates/ad_adpc.R | 13 +- tests/testthat/test-derive_extreme_event.R | 222 ++++++++++----------- vignettes/concepts_conventions.Rmd | 18 +- vignettes/writing_vignettes.Rmd | 16 +- 10 files changed, 149 insertions(+), 146 deletions(-) diff --git a/R/assertions.R b/R/assertions.R index 048b5c6018..c30f4b6380 100644 --- a/R/assertions.R +++ b/R/assertions.R @@ -523,7 +523,7 @@ assert_filter_cond <- function(arg, if (provided && !(is_call(arg) || is_logical(arg))) { cli_abort( message = message %||% - "Argument {.arg {(arg_name)}} must be a filter condition, but is {.obj_type_friendly {arg}}", + "Argument {.arg {(arg_name)}} must be a filter condition, but is {.obj_type_friendly {arg}}", class = c(class, "assert-admiraldev"), call = call ) diff --git a/R/create_single_dose_dataset.R b/R/create_single_dose_dataset.R index 1904d98ea0..8c01055e6e 100644 --- a/R/create_single_dose_dataset.R +++ b/R/create_single_dose_dataset.R @@ -436,9 +436,11 @@ dose_freq_lookup <- tribble( #' end_date = EXENDT, #' end_datetime = EXENDTM, #' keep_source_vars = c( -#' get_admiral_option("subject_keys"), exprs(EXTRT, EXDOSE, EXDOSFRQ, -#' DCUTDT, EXSTDT, EXSTDTM, EXENDT, EXENDTM, EXSTDTC, EXENDTC -#' )) +#' get_admiral_option("subject_keys"), exprs( +#' EXTRT, EXDOSE, EXDOSFRQ, +#' DCUTDT, EXSTDT, EXSTDTM, EXENDT, EXENDTM, EXSTDTC, EXENDTC +#' ) +#' ) #' ) create_single_dose_dataset <- function(dataset, dose_freq = EXDOSFRQ, diff --git a/R/hello.R b/R/hello.R index 3964f5a120..b7277324e5 100644 --- a/R/hello.R +++ b/R/hello.R @@ -5,5 +5,5 @@ #' #' @examples #' hello <- function() { -#' print("Hello World!") +#' print("Hello World!") #' } diff --git a/R/period_dataset.R b/R/period_dataset.R index 0c9cf1ab3c..8fda1f509e 100644 --- a/R/period_dataset.R +++ b/R/period_dataset.R @@ -348,8 +348,10 @@ create_period_dataset <- function(dataset, #' dataset_ref = subperiod_ref, #' new_vars = exprs(PxxSwSDT = ASPRSDT, PxxSwEDT = ASPREDT) #' ) %>% -#' select(!!!get_admiral_option("subject_keys"), P01S1SDT, P01S1EDT, P01S2SDT, P01S2EDT, -#' P02S1SDT, P02S1EDT) +#' select( +#' !!!get_admiral_option("subject_keys"), P01S1SDT, P01S1EDT, P01S2SDT, P01S2EDT, +#' P02S1SDT, P02S1EDT +#' ) derive_vars_period <- function(dataset, dataset_ref, new_vars, diff --git a/inst/templates/ad_adae.R b/inst/templates/ad_adae.R index 221c600906..8c1f718fe0 100644 --- a/inst/templates/ad_adae.R +++ b/inst/templates/ad_adae.R @@ -116,7 +116,7 @@ adae <- adae %>% restrict_derivation( derivation = derive_var_extreme_flag, args = params( - by_vars = !!!get_admiral_option("subject_keys"), + by_vars = get_admiral_option("subject_keys"), order = exprs(desc(ASEVN), ASTDTM, AESEQ), new_var = AOCCIFL, mode = "first" diff --git a/inst/templates/ad_adlbhy.R b/inst/templates/ad_adlbhy.R index 5051c0f66d..7a17f27c69 100644 --- a/inst/templates/ad_adlbhy.R +++ b/inst/templates/ad_adlbhy.R @@ -32,7 +32,7 @@ adlb_annotated <- adlb %>% ., derivation = derive_var_merged_exist_flag, dataset_add = ., - by_vars = exprs(!!!get_admiral_option("subject_keys"), LBSEQ, PARAMCD, ADT), + by_vars = c(get_admiral_option("subject_keys"), exprs(LBSEQ, PARAMCD, ADT)), variable_params = list( params( new_var = CRIT1FL, @@ -56,7 +56,7 @@ bili_records <- adlb_annotated %>% hylaw_records <- derive_vars_joined( dataset = altast_records, dataset_add = bili_records, - by_vars = !!!get_admiral_option("subject_keys"), + by_vars = get_admiral_option("subject_keys"), order = exprs(ADY), join_type = "all", filter_join = ADT.join - ADT <= 14 & CRIT1FL == "Y" & CRIT1FL.join == "Y", @@ -79,7 +79,7 @@ hylaw_params <- derive_param_exist_flag( condition = CRIT1FL == "Y" & BILI_CRITFL == "Y", false_value = "N", missing_value = "N", - by_vars = exprs(!!!get_admiral_option("subject_keys"), TRT01A), # add AVISIT, ADT for by visit + by_vars = c(get_admiral_option("subject_keys"), exprs(TRT01A)), # add AVISIT, ADT for by visit set_values_to = exprs( PARAMCD = "HYSLAW", PARAM = "ALT/AST >= 3xULN and BILI >= 2xULN" diff --git a/inst/templates/ad_adpc.R b/inst/templates/ad_adpc.R index 005b1d07ba..e03772c859 100644 --- a/inst/templates/ad_adpc.R +++ b/inst/templates/ad_adpc.R @@ -75,7 +75,7 @@ pc_dates <- pc %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = !!!get_admiral_option("subject_keys") + by_vars = get_admiral_option("subject_keys") ) %>% # Derive analysis date/time # Impute missing time to 00:00:00 @@ -102,7 +102,7 @@ ex_dates <- ex %>% derive_vars_merged( dataset_add = adsl, new_vars = adsl_vars, - by_vars = !!!get_admiral_option("subject_keys") + by_vars = get_admiral_option("subject_keys") ) %>% # Keep records with nonzero dose filter(EXDOSE > 0) %>% @@ -148,11 +148,12 @@ ex_exp <- ex_dates %>% nominal_time = NFRLT, lookup_table = dose_freq_lookup, lookup_column = CDISC_VALUE, - keep_source_vars = exprs( - !!!get_admiral_option("subject_keys"), EVID, EXDOSFRQ, EXDOSFRM, + keep_source_vars = c( + get_admiral_option("subject_keys"), exprs(EVID, EXDOSFRQ, EXDOSFRM, NFRLT, EXDOSE, EXDOSU, EXTRT, ASTDT, ASTDTM, AENDT, AENDTM, VISIT, VISITNUM, VISITDY, TRT01A, TRT01P, DOMAIN, EXSEQ, !!!adsl_vars + ) ) ) %>% # Derive AVISIT based on nominal relative time @@ -182,7 +183,7 @@ adpc_first_dose <- pc_dates %>% new_vars = exprs(FANLDTM = ADTM), order = exprs(ADTM, EXSEQ), mode = "first", - by_vars = exprs(!!!get_admiral_option("subject_keys"), DRUG) + by_vars = c(get_admiral_option("subject_keys"), exprs(DRUG)) ) %>% filter(!is.na(FANLDTM)) %>% # Derive AVISIT based on nominal relative time @@ -445,7 +446,7 @@ adpc_dtype <- bind_rows(adpc_aval, dtype) %>% adpc_base <- adpc_dtype %>% derive_var_base( - by_vars = exprs(!!!get_admiral_option("subject_keys"), PARAMCD, PARCAT1, BASETYPE), + by_vars = c(get_admiral_option("subject_keys"), exprs(PARAMCD, PARCAT1, BASETYPE)), source_var = AVAL, new_var = BASE, filter = ABLFL == "Y" diff --git a/tests/testthat/test-derive_extreme_event.R b/tests/testthat/test-derive_extreme_event.R index ebd3f396cd..e353e86c57 100644 --- a/tests/testthat/test-derive_extreme_event.R +++ b/tests/testthat/test-derive_extreme_event.R @@ -2,24 +2,24 @@ ## Test 1: `mode` = first ---- test_that("derive_extreme_event Test 1: `mode` = first", { input <- tibble::tribble( - ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~ADY, - "xyz", "1", "NO SLEEP", "N", 1, - "xyz", "1", "WAKE UP", "N", 2, - "xyz", "1", "FALL ASLEEP", "N", 3, - "xyz", "2", "NO SLEEP", "N", 1, - "xyz", "2", "WAKE UP", "Y", 2, - "xyz", "2", "WAKE UP", "Y", 3, - "xyz", "2", "FALL ASLEEP", "N", 4, - "xyz", "3", "NO SLEEP", NA_character_, 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~ADY, + "xyz", "1", "NO SLEEP", "N", 1, + "xyz", "1", "WAKE UP", "N", 2, + "xyz", "1", "FALL ASLEEP", "N", 3, + "xyz", "2", "NO SLEEP", "N", 1, + "xyz", "2", "WAKE UP", "Y", 2, + "xyz", "2", "WAKE UP", "Y", 3, + "xyz", "2", "FALL ASLEEP", "N", 4, + "xyz", "3", "NO SLEEP", NA_character_, 1 ) expected_output <- bind_rows( input, tibble::tribble( - ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~AVAL, ~ADY, - "xyz", "1", "WSP", "No sleeping problems", 4, 1, - "xyz", "2", "WSP", "Waking up more than three times", 2, 2, - "xyz", "3", "WSP", "Missing", 99, 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~AVAL, ~ADY, + "xyz", "1", "WSP", "No sleeping problems", 4, 1, + "xyz", "2", "WSP", "Waking up more than three times", 2, 2, + "xyz", "3", "WSP", "Missing", 99, 1 ) ) @@ -69,24 +69,24 @@ test_that("derive_extreme_event Test 1: `mode` = first", { ## Test 2: `mode` = last ---- test_that("derive_extreme_event Test 2: `mode` = last", { input <- tibble::tribble( - ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~ADY, - "xyz", "1", "NO SLEEP", "N", 1, - "xyz", "1", "WAKE UP", "N", 2, - "xyz", "1", "FALL ASLEEP", "N", 3, - "xyz", "2", "NO SLEEP", "N", 1, - "xyz", "2", "WAKE UP", "Y", 2, - "xyz", "2", "WAKE UP", "Y", 3, - "xyz", "2", "FALL ASLEEP", "N", 4, - "xyz", "3", "NO SLEEP", NA_character_, 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~ADY, + "xyz", "1", "NO SLEEP", "N", 1, + "xyz", "1", "WAKE UP", "N", 2, + "xyz", "1", "FALL ASLEEP", "N", 3, + "xyz", "2", "NO SLEEP", "N", 1, + "xyz", "2", "WAKE UP", "Y", 2, + "xyz", "2", "WAKE UP", "Y", 3, + "xyz", "2", "FALL ASLEEP", "N", 4, + "xyz", "3", "NO SLEEP", NA_character_, 1 ) expected_output <- bind_rows( input, tibble::tribble( - ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~AVAL, ~ADY, - "xyz", "1", "WSP", "No sleeping problems", 4, 3, - "xyz", "2", "WSP", "Waking up more than three times", 2, 3, - "xyz", "3", "WSP", "Missing", 99, 1 + ~STUDYID, ~USUBJID, ~PARAMCD, ~AVALC, ~AVAL, ~ADY, + "xyz", "1", "WSP", "No sleeping problems", 4, 3, + "xyz", "2", "WSP", "Waking up more than three times", 2, 3, + "xyz", "3", "WSP", "Missing", 99, 1 ) ) @@ -284,13 +284,13 @@ test_that("derive_extreme_event Test 3: `source_datasets` works", { ## Test 4: event-specific mode ---- test_that("derive_extreme_event Test 4: event-specific mode", { adhy <- tibble::tribble( - ~STUDYID, ~USUBJID, ~AVISITN, ~CRIT1FL, - "xyz", "1", 1, "Y", - "xyz", "1", 2, "Y", - "xyz", "2", 1, "Y", - "xyz", "2", 2, NA_character_, - "xyz", "2", 3, "Y", - "xyz", "2", 4, NA_character_ + ~STUDYID, ~USUBJID, ~AVISITN, ~CRIT1FL, + "xyz", "1", 1, "Y", + "xyz", "1", 2, "Y", + "xyz", "2", 1, "Y", + "xyz", "2", 2, NA_character_, + "xyz", "2", 3, "Y", + "xyz", "2", 4, NA_character_ ) %>% mutate( PARAMCD = "ALKPH", @@ -324,9 +324,9 @@ test_that("derive_extreme_event Test 4: event-specific mode", { expected <- bind_rows( adhy, tribble( - ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, - "xyz", "1", 2, "Y", - "xyz", "2", 2, "N" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, + "xyz", "1", 2, "Y", + "xyz", "2", 2, "N" ) %>% mutate( PARAMCD = "ALK2", @@ -345,16 +345,16 @@ test_that("derive_extreme_event Test 4: event-specific mode", { ## Test 5: event_joined() is handled correctly ---- test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { adsl <- tibble::tribble( - ~STUDYID, ~USUBJID, ~TRTSDTC, - "xyz", "1", "2020-01-01", - "xyz", "2", "2019-12-12", - "xyz", "3", "2019-11-11", - "xyz", "4", "2019-12-30", - "xyz", "5", "2020-01-01", - "xyz", "6", "2020-02-02", - "xyz", "7", "2020-02-02", - "xyz", "8", "2020-04-01", - "xyz", "9", "2020-02-01" + ~STUDYID, ~USUBJID, ~TRTSDTC, + "xyz", "1", "2020-01-01", + "xyz", "2", "2019-12-12", + "xyz", "3", "2019-11-11", + "xyz", "4", "2019-12-30", + "xyz", "5", "2020-01-01", + "xyz", "6", "2020-02-02", + "xyz", "7", "2020-02-02", + "xyz", "8", "2020-04-01", + "xyz", "9", "2020-02-01" ) %>% mutate( TRTSDT = lubridate::ymd(TRTSDTC), @@ -362,35 +362,35 @@ test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { ) adrs <- tibble::tribble( - ~STUDYID, ~USUBJID, ~ADTC, ~AVALC, - "xyz", "1", "2020-01-01", "PR", - "xyz", "1", "2020-02-01", "CR", - "xyz", "1", "2020-02-16", "NE", - "xyz", "1", "2020-03-01", "CR", - "xyz", "1", "2020-04-01", "SD", - "xyz", "2", "2020-01-01", "SD", - "xyz", "2", "2020-02-01", "PR", - "xyz", "2", "2020-03-01", "SD", - "xyz", "2", "2020-03-13", "CR", - "xyz", "3", "2019-11-12", "CR", - "xyz", "3", "2019-12-02", "CR", - "xyz", "3", "2020-01-01", "SD", - "xyz", "4", "2020-01-01", "PR", - "xyz", "4", "2020-03-01", "SD", - "xyz", "4", "2020-04-01", "SD", - "xyz", "4", "2020-05-01", "PR", - "xyz", "4", "2020-05-15", "NON-CR/NON-PD", - "xyz", "5", "2020-01-01", "PR", - "xyz", "5", "2020-01-10", "SD", - "xyz", "5", "2020-01-20", "PR", - "xyz", "5", "2020-05-15", "NON-CR/NON-PD", - "xyz", "6", "2020-02-06", "PR", - "xyz", "6", "2020-02-16", "CR", - "xyz", "6", "2020-03-30", "PR", - "xyz", "7", "2020-02-06", "PR", - "xyz", "7", "2020-02-16", "CR", - "xyz", "7", "2020-04-01", "NE", - "xyz", "9", "2020-02-16", "PD" + ~STUDYID, ~USUBJID, ~ADTC, ~AVALC, + "xyz", "1", "2020-01-01", "PR", + "xyz", "1", "2020-02-01", "CR", + "xyz", "1", "2020-02-16", "NE", + "xyz", "1", "2020-03-01", "CR", + "xyz", "1", "2020-04-01", "SD", + "xyz", "2", "2020-01-01", "SD", + "xyz", "2", "2020-02-01", "PR", + "xyz", "2", "2020-03-01", "SD", + "xyz", "2", "2020-03-13", "CR", + "xyz", "3", "2019-11-12", "CR", + "xyz", "3", "2019-12-02", "CR", + "xyz", "3", "2020-01-01", "SD", + "xyz", "4", "2020-01-01", "PR", + "xyz", "4", "2020-03-01", "SD", + "xyz", "4", "2020-04-01", "SD", + "xyz", "4", "2020-05-01", "PR", + "xyz", "4", "2020-05-15", "NON-CR/NON-PD", + "xyz", "5", "2020-01-01", "PR", + "xyz", "5", "2020-01-10", "SD", + "xyz", "5", "2020-01-20", "PR", + "xyz", "5", "2020-05-15", "NON-CR/NON-PD", + "xyz", "6", "2020-02-06", "PR", + "xyz", "6", "2020-02-16", "CR", + "xyz", "6", "2020-03-30", "PR", + "xyz", "7", "2020-02-06", "PR", + "xyz", "7", "2020-02-16", "CR", + "xyz", "7", "2020-04-01", "NE", + "xyz", "9", "2020-02-16", "PD" ) %>% mutate( PARAMCD = "OVR", @@ -486,16 +486,16 @@ test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { expected <- bind_rows( adrs, tibble::tribble( - ~STUDYID, ~USUBJID, ~ADTC, ~AVALC, - "xyz", "1", "2020-02-01", "CR", - "xyz", "2", "2020-02-01", "SD", - "xyz", "3", "2020-01-01", "SD", - "xyz", "4", "2020-03-01", "SD", - "xyz", "5", "2020-05-15", "NON-CR/NON-PD", - "xyz", "6", "2020-03-30", "SD", - "xyz", "7", "2020-02-06", "NE", - "xyz", "8", NA_character_, "MISSING", - "xyz", "9", "2020-02-16", "PD" + ~STUDYID, ~USUBJID, ~ADTC, ~AVALC, + "xyz", "1", "2020-02-01", "CR", + "xyz", "2", "2020-02-01", "SD", + "xyz", "3", "2020-01-01", "SD", + "xyz", "4", "2020-03-01", "SD", + "xyz", "5", "2020-05-15", "NON-CR/NON-PD", + "xyz", "6", "2020-03-30", "SD", + "xyz", "7", "2020-02-06", "NE", + "xyz", "8", NA_character_, "MISSING", + "xyz", "9", "2020-02-16", "PD" ) %>% mutate( ADT = lubridate::ymd(ADTC), @@ -520,10 +520,10 @@ test_that("derive_extreme_event Test 5: event_joined() is handled correctly", { ## Test 6: no tmp_event_nr_var ---- test_that("derive_extreme_event Test 6: no tmp_event_nr_var", { adrs <- tibble::tribble( - ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, - "xyz", "1", 1, "PR", - "xyz", "1", 2, "CR", - "xyz", "1", 3, "CR" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, + "xyz", "1", 1, "PR", + "xyz", "1", 2, "CR", + "xyz", "1", 3, "CR" ) %>% mutate(PARAMCD = "OVR") @@ -556,8 +556,8 @@ test_that("derive_extreme_event Test 6: no tmp_event_nr_var", { expected <- bind_rows( adrs, tibble::tribble( - ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, ~PARAMCD, - "xyz", "1", 1, "Y", "CRSP" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, ~PARAMCD, + "xyz", "1", 1, "Y", "CRSP" ) ) @@ -571,15 +571,15 @@ test_that("derive_extreme_event Test 6: no tmp_event_nr_var", { ## Test 7: mode and condition used in event() ---- test_that("derive_extreme_event Test 7: mode and condition used in event()", { mydata <- tibble::tribble( - ~STUDYID, ~USUBJID, ~CRIT1FL, ~ADY, - "xyz", "1", "Y", 1, - "xyz", "1", "Y", 2, - "xyz", "2", "N", 1 + ~STUDYID, ~USUBJID, ~CRIT1FL, ~ADY, + "xyz", "1", "Y", 1, + "xyz", "1", "Y", 2, + "xyz", "2", "N", 1 ) expected <- tibble::tribble( ~STUDYID, ~USUBJID, ~CRIT1FL, ~ADY, - "xyz", "1", "Y", 1 + "xyz", "1", "Y", 1 ) expect_dfs_equal( @@ -604,13 +604,13 @@ test_that("derive_extreme_event Test 7: mode and condition used in event()", { ## Test 8: error if source dataset not available ---- test_that("derive_extreme_event Test 8: error if source dataset not available", { adhy <- tibble::tribble( - ~STUDYID, ~USUBJID, ~AVISITN, ~CRIT1FL, - "xyz", "1", 1, "Y", - "xyz", "1", 2, "Y", - "xyz", "2", 1, "Y", - "xyz", "2", 2, NA_character_, - "xyz", "2", 3, "Y", - "xyz", "2", 4, NA_character_ + ~STUDYID, ~USUBJID, ~AVISITN, ~CRIT1FL, + "xyz", "1", 1, "Y", + "xyz", "1", 2, "Y", + "xyz", "2", 1, "Y", + "xyz", "2", 2, NA_character_, + "xyz", "2", 3, "Y", + "xyz", "2", 4, NA_character_ ) %>% mutate( PARAMCD = "ALKPH", @@ -650,10 +650,10 @@ test_that("derive_extreme_event Test 8: error if source dataset not available", ## Test 9: deprecation of ignore_event_order ---- test_that("derive_extreme_event Test 9: deprecation of ignore_event_order", { adrs <- tibble::tribble( - ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, - "xyz", "1", 1, "PR", - "xyz", "1", 2, "CR", - "xyz", "1", 3, "CR" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, + "xyz", "1", 1, "PR", + "xyz", "1", 2, "CR", + "xyz", "1", 3, "CR" ) %>% mutate(PARAMCD = "OVR") @@ -691,10 +691,10 @@ test_that("derive_extreme_event Test 9: deprecation of ignore_event_order", { ## Test 10: deprecation of ignore_event_order ---- test_that("derive_extreme_event Test 10: deprecation of ignore_event_order", { adrs <- tibble::tribble( - ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, - "xyz", "1", 1, "PR", - "xyz", "1", 2, "CR", - "xyz", "1", 3, "CR" + ~STUDYID, ~USUBJID, ~AVISITN, ~AVALC, + "xyz", "1", 1, "PR", + "xyz", "1", 2, "CR", + "xyz", "1", 3, "CR" ) %>% mutate(PARAMCD = "OVR") diff --git a/vignettes/concepts_conventions.Rmd b/vignettes/concepts_conventions.Rmd index a29b3ab531..e38df4653d 100644 --- a/vignettes/concepts_conventions.Rmd +++ b/vignettes/concepts_conventions.Rmd @@ -214,18 +214,18 @@ library(dplyr, warn.conflicts = FALSE) library(admiral) vs <- tribble( -~STUDYID, ~USUBJID, ~VSTESTCD, ~VISIT, ~VSSTRESN, ~VSSTRESU, ~VSDTC, - "dmog_1", "01-1301", "WEIGHT", "SCREENING", 82.1, "kg", "2013-08-29", - "dmog_1", "01-1301", "WEIGHT", "WEEK 2", 81.19, "kg", "2013-09-15", - "dmog_1", "01-1301", "WEIGHT", "WEEK 4", 82.56, "kg", "2013-09-24", - "dmog_1", "01-1302", "BMI", "SCREENING", 20.1, "kg/m2", "2013-08-29", - "dmog_1", "01-1302", "BMI", "WEEK 2", 20.2, "kg/m2", "2013-09-15", - "dmog_1", "01-1302", "BMI", "WEEK 4", 19.9, "kg/m2", "2013-09-24" + ~STUDYID, ~USUBJID, ~VSTESTCD, ~VISIT, ~VSSTRESN, ~VSSTRESU, ~VSDTC, + "dmog_1", "01-1301", "WEIGHT", "SCREENING", 82.1, "kg", "2013-08-29", + "dmog_1", "01-1301", "WEIGHT", "WEEK 2", 81.19, "kg", "2013-09-15", + "dmog_1", "01-1301", "WEIGHT", "WEEK 4", 82.56, "kg", "2013-09-24", + "dmog_1", "01-1302", "BMI", "SCREENING", 20.1, "kg/m2", "2013-08-29", + "dmog_1", "01-1302", "BMI", "WEEK 2", 20.2, "kg/m2", "2013-09-15", + "dmog_1", "01-1302", "BMI", "WEEK 4", 19.9, "kg/m2", "2013-09-24" ) dm <- tribble( -~STUDYID, ~USUBJID, ~AGE, -"dmog_1", "01-1301", 18 + ~STUDYID, ~USUBJID, ~AGE, + "dmog_1", "01-1301", 18 ) ``` diff --git a/vignettes/writing_vignettes.Rmd b/vignettes/writing_vignettes.Rmd index 6818129fdf..17d0eadfcd 100644 --- a/vignettes/writing_vignettes.Rmd +++ b/vignettes/writing_vignettes.Rmd @@ -131,11 +131,11 @@ library(DT) data(vs) vs <- tribble( - ~STUDYID, ~USUBJID, ~VSTESTCD, ~VISIT, ~VSDTC, - "omep_1", "01-701-1015", "WEIGHT", "BASELINE", "2013-12-26", - "omep_1", "01-701-1015", "WEIGHT", "WEEK 2", "2014-01-14", - "omep_1", "01-701-1016", "WEIGHT", "BASELINE", "2014-01-06", - "omep_1", "01-701-1016", "WEIGHT", "WEEK 2", "2014-01-22", + ~STUDYID, ~USUBJID, ~VSTESTCD, ~VISIT, ~VSDTC, + "omep_1", "01-701-1015", "WEIGHT", "BASELINE", "2013-12-26", + "omep_1", "01-701-1015", "WEIGHT", "WEEK 2", "2014-01-14", + "omep_1", "01-701-1016", "WEIGHT", "BASELINE", "2014-01-06", + "omep_1", "01-701-1016", "WEIGHT", "WEEK 2", "2014-01-22", ) ``` @@ -161,8 +161,7 @@ vs1 <- vs %>% dataset_vignette( vs1, - display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VISIT, VSDTC, ADT) - ), + display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VISIT, VSDTC, ADT)), filter = VSTESTCD == "WEIGHT" ) ``` @@ -174,8 +173,7 @@ Note: The call to get the formatted dataset would be: ```{r, eval=FALSE, echo=TRUE} dataset_vignette( vs1, - display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VISIT, VSDTC, ADT) - ), + display_vars = c(get_admiral_option("subject_keys"), exprs(VSTESTCD, VISIT, VSDTC, ADT)), filter = VSTESTCD == "WEIGHT" ) ``` From 50c2dd7aa8d3ec4b720f071064b55035b4e7d127 Mon Sep 17 00:00:00 2001 From: ProfessorP <pwebster26@gmail.com> Date: Thu, 6 Jun 2024 13:03:20 -0400 Subject: [PATCH 22/22] Ran spellcheck, lintr, and devtools to address pull request errors. --- R/assertions.R | 3 ++- inst/WORDLIST | 1 - man/create_single_dose_dataset.Rd | 8 +++++--- man/derive_vars_period.Rd | 6 ++++-- 4 files changed, 11 insertions(+), 7 deletions(-) diff --git a/R/assertions.R b/R/assertions.R index c30f4b6380..0857849b6e 100644 --- a/R/assertions.R +++ b/R/assertions.R @@ -523,7 +523,8 @@ assert_filter_cond <- function(arg, if (provided && !(is_call(arg) || is_logical(arg))) { cli_abort( message = message %||% - "Argument {.arg {(arg_name)}} must be a filter condition, but is {.obj_type_friendly {arg}}", + "Argument {.arg {(arg_name)}} must be a filter condition, + but is {.obj_type_friendly {arg}}", class = c(class, "assert-admiraldev"), call = call ) diff --git a/inst/WORDLIST b/inst/WORDLIST index 78c1469dbb..743432f723 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -106,7 +106,6 @@ Fibrinogen Findability Framingham Franciszek -Francois Fridericia Fridericia's Fujimoto diff --git a/man/create_single_dose_dataset.Rd b/man/create_single_dose_dataset.Rd index c67fad5a02..5a4fdd405a 100644 --- a/man/create_single_dose_dataset.Rd +++ b/man/create_single_dose_dataset.Rd @@ -272,9 +272,11 @@ create_single_dose_dataset( end_date = EXENDT, end_datetime = EXENDTM, keep_source_vars = c( - get_admiral_option("subject_keys"), exprs(EXTRT, EXDOSE, EXDOSFRQ, - DCUTDT, EXSTDT, EXSTDTM, EXENDT, EXENDTM, EXSTDTC, EXENDTC - )) + get_admiral_option("subject_keys"), exprs( + EXTRT, EXDOSE, EXDOSFRQ, + DCUTDT, EXSTDT, EXSTDTM, EXENDT, EXENDTM, EXSTDTC, EXENDTC + ) + ) ) } \seealso{ diff --git a/man/derive_vars_period.Rd b/man/derive_vars_period.Rd index 3b4d06ca5c..e518b2c173 100644 --- a/man/derive_vars_period.Rd +++ b/man/derive_vars_period.Rd @@ -131,8 +131,10 @@ derive_vars_period( dataset_ref = subperiod_ref, new_vars = exprs(PxxSwSDT = ASPRSDT, PxxSwEDT = ASPREDT) ) \%>\% - select(!!!get_admiral_option("subject_keys"), P01S1SDT, P01S1EDT, P01S2SDT, P01S2EDT, - P02S1SDT, P02S1EDT) + select( + !!!get_admiral_option("subject_keys"), P01S1SDT, P01S1EDT, P01S2SDT, P01S2EDT, + P02S1SDT, P02S1EDT + ) } \seealso{ \code{\link[=create_period_dataset]{create_period_dataset()}}

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