From 0b064e4174868d33baec79fee0b9bc2abea5a3da Mon Sep 17 00:00:00 2001 From: Michael Stackhouse Date: Thu, 4 Jan 2024 07:39:24 -0500 Subject: [PATCH 1/9] Council End of Year Blog Post (#101) * Initial blog post * Corrections and add to wordlist * Fix link * Update posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd Co-authored-by: Ross Farrugia <82581364+rossfarrugia@users.noreply.github.com> * Update posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Add line on keynote. * Add panel session reference --------- Co-authored-by: Ross Farrugia <82581364+rossfarrugia@users.noreply.github.com> Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> --- inst/WORDLIST.txt | 11 +++ .../2023-12-21_end_of__year__up.../appendix.R | 78 ++++++++++++++++++ ..._update_from_the__pharmaverse__council.qmd | 56 +++++++++++++ .../pharmaverse.png | Bin 0 -> 21533 bytes 4 files changed, 145 insertions(+) create mode 100644 posts/2023-12-21_end_of__year__up.../appendix.R create mode 100644 posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd create mode 100644 posts/2023-12-21_end_of__year__up.../pharmaverse.png diff --git a/inst/WORDLIST.txt b/inst/WORDLIST.txt index 0d0bf7ee..f30b21fc 100644 --- a/inst/WORDLIST.txt +++ b/inst/WORDLIST.txt @@ -500,3 +500,14 @@ VSDY VSORRES VSSEQ VSTESTCD +analytics +Analytics +csp +dS +eventID +frontend +nqJsLSLd +pageID +QHuA +thome +traceRedir diff --git a/posts/2023-12-21_end_of__year__up.../appendix.R b/posts/2023-12-21_end_of__year__up.../appendix.R new file mode 100644 index 00000000..ece5203f --- /dev/null +++ b/posts/2023-12-21_end_of__year__up.../appendix.R @@ -0,0 +1,78 @@ +# markdown helpers -------------------------------------------------------- + +markdown_appendix <- function(name, content) { + paste(paste("##", name, "{.appendix}"), " ", content, sep = "\n") +} +markdown_link <- function(text, path) { + paste0("[", text, "](", path, ")") +} + + + +# worker functions -------------------------------------------------------- + +insert_source <- function(repo_spec, name, + collection = "posts", + branch = "main", + host = "https://github.com", + text = "source code") { + path <- paste( + host, + repo_spec, + "tree", + branch, + collection, + name, + "code_sections.qmd", + sep = "/" + ) + return(markdown_link(text, path)) +} + +insert_timestamp <- function(tzone = Sys.timezone()) { + time <- lubridate::now(tzone = tzone) + stamp <- as.character(time, tz = tzone, usetz = TRUE) + return(stamp) +} + +insert_lockfile <- function(repo_spec, name, + collection = "posts", + branch = "main", + host = "https://github.com", + text = "R environment") { + path <- paste( + host, + repo_spec, + "tree", + branch, + collection, + name, + "renv.lock", + sep = "/" + ) + return(markdown_link(text, path)) +} + + + +# top level function ------------------------------------------------------ + +insert_appendix <- function(repo_spec, name, collection = "posts") { + appendices <- paste( + markdown_appendix( + name = "Last updated", + content = insert_timestamp() + ), + " ", + markdown_appendix( + name = "Details", + content = paste( + insert_source(repo_spec, name, collection), + insert_lockfile(repo_spec, name, collection), + sep = ", " + ) + ), + sep = "\n" + ) + knitr::asis_output(appendices) +} diff --git a/posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd b/posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd new file mode 100644 index 00000000..4142904a --- /dev/null +++ b/posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd @@ -0,0 +1,56 @@ +--- +title: "End of Year Update from the Pharmaverse Council" +author: + - name: Mike Stackhouse +description: "" +date: "2023-12-21" +# please do not use any non-default categories. +# You can find the default categories in the repository README.md +categories: [community] +# feel free to change the image +image: "pharmaverse.png" + +--- + + + +```{r setup, include=FALSE} +long_slug <- "2023-12-21_end_of__year__up..." +# renv::use(lockfile = "renv.lock") +``` + + + +## 2023 Was a Big Year + +This was a big year for open-source work in clinical submissions in general. We saw Roche speak about shifting to an [open-source backbone for clinical trials](https://www.youtube.com/watch?v=nqJsLSLd39A). Novo Nordisk spoke publicly of an [R based submission to the FDA](https://www.youtube.com/watch?v=t33dS17QHuA). These are true marks of progress being made in R becoming a first class language for clinical reporting. + +Back in August, Nicholas Eugenio released a [blog post](https://pharmaverse.github.io/blog/posts/2023-10-10_pharmaverse_story/pharmaverse_story.html) on the history of pharmaverse. It's funny to think about the fact that only 3 years ago, the idea of cross organization collaboration on R packages and building a community around this in the clinical world was just a conversation between friends. Since then, we have a community of more than 1200 people on Slack, 350 on LinkedIn, interest from over 150 organizations, and over 30 packages. If 2020 through 2022 was the birth of Pharmaverse, 2023 was finding our identity as a community. For the council, 2024 will be about continuing to mature and find more ways that we can continue to support the community. + +## What We Accomplished + +One of our biggest moves in 2023 was to form our partnership with [PHUSE](https://phuse.global/PHUSE_Open_Source_Technology). This latched us into an existing community with shared values and a platform that helps us continue to build the pharmaverse community. At the [PHUSE EU Connect](https://www.phuse-events.org/attend/frontend/reg/thome.csp?pageID=11403&eventID=19&traceRedir=2) we had our first opportunity to host a pharmaverse meetup and bring together pharmaverse contributors in person. Additionally, there was an excellent panel session highlighting our use and adoption of open-source across industry, including the pharmaceutical, commercial, and software perspectives. As we move forward, we'll continue to use this platform to find ways we can host events and encourage collaboration within the pharmaverse community. + +This year our community was also able to launch new platforms to share updates and knowledge throughout the industry. The [pharmaverse examples](https://pharmaverse.github.io/examples/) webpage was launched to show pharmaverse packages in action, and the [pharmaverse blog](https://pharmaverse.github.io/blog/) (which I'm using right here!) provides a platform to share updates and community news. + +## Where Next? + +Back in October, I had the opportunity to do an interview with Michael Rimler for the [PHUSE video series](https://youtu.be/F3vehIoJgdA?si=80p0pKobZqjlXChj) Open Source Technologies in Clinical Data Analytics. The last question he asked me was what I expect the state of data analytics in life science to be in 2 to 3 years. My response was that when that time comes, I hope I couldn't have predicted where we would be - because back in 2020 I could never have predicted where we are now. The progress we've made is unbelievable, and the pharmaverse community has played a huge role in getting us where we are today. For the pharmaverse community, I hope to see that progress continue as we move into next year. As a council, our goal is to continue to mature this community. How can we support and foster collaboration between our organizations? How can we leverage this platform to drive the industry forward? + +For you as an individual, there's always an opportunity to get involved - and you don't have to be a package developer to contribute. You can [join a working group](https://pharmaverse.org/contribute/wg/), write [examples](https://github.com/pharmaverse/examples), or author a [blog post](https://github.com/pharmaverse/blog). Furthermore, you can get started with the pharmaverse packages, provide feedback via issues, and advocate for their use within your own organization. The pharmaverse community doesn't exist without you, and we're happy to have you all here to help us build this together. + +## P.S. + +At PHUSE US Connect 2024 this coming February, be on the lookout for one of the keynote presentations from Michael Rimler and Ross Farrugia! We hope to see you there! + +Here's to a 2024 full of progress and collaboration! + + + +```{r, echo=FALSE} +source("appendix.R") +insert_appendix( + repo_spec = "pharmaverse/blog", + name = long_slug +) +``` diff --git a/posts/2023-12-21_end_of__year__up.../pharmaverse.png b/posts/2023-12-21_end_of__year__up.../pharmaverse.png new file mode 100644 index 0000000000000000000000000000000000000000..0d7fc797c590be7d0c604d20dde5c0dcda36e1ae GIT binary patch literal 21533 zcmce+b8w_zw=mkVtw}PmZBA_4nb=l`6Whkbo|qHc#)K2woY=|N^LyX-obQiQ=T_ZY zb-Sypc0bQv*lVx7_ELnBf+P|=9y|a5K$4acQvm?L=>Ps;p+QePePUe!0C-U=QBfsn zQBh(?X9sgDTQdN_V+<~k<@Za+Vbx zKN>n^!a;#GfJY^Sk9UbEPEl%Lw9_9POKJ;}81-Ph&jM-?0Qdvp>ER2k6?_G&aR7h= z92XeL(TBG`g4&cQH37s4fGtw=Lj?-NY&h z?%xRoaEsN7M-egv_@|4|PXLIy!2zO#7?Tjhau9jUv)x-|296;uQec3d@s!Cl*;zKs zmXu$3?$>{|c1U*mZ0kgfaA;7?;r2+g(lW^~qz)nErVs%Dyr-GocW%M>!-Ku;1M@@M z%iF<%cbh*Bqyi*Yo9`Xb;E(`Rh3U%`gZ=$Q2*+WtTGwuyGF`xm2EcOjNsnz6E>8#k zm)BF2C-`cm#xV3gi4v=G`cP54LTGttj7n(A)P_uRj2%459R@p2DCv 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zR35nB;gzJR^x~bvf(|<;M-uOGVJ~mJe!fCt(ibS2d7+a?$M6BC2NAeV<5XFcx+9TD zn$pn)Kg>Nm6zDZI64~4Fh7r88%Whg8K!go-Ng*d!{}}AiwL{<0Ewnqr?Hd|GWyzt# z!y6#>(8GtHQg?Z0r-^x4fD{f|!X@+PuOTk{>I{YL*xK0<+M~Xp7+xlxwUeC4tw7b* zq_xbofAKMMm7qER4K!Liv-txn0%y|A;qWXLGS$w%ydw%(#IK?*1bA;rQP-6lunSg{ zz>gFAaIUZXqWa5R_d12+l=FgIwbQ4!(_~Toit7O2#Wb_o?1q*WHy{0>u~HX2 zh>J54V43#8c9L&4u1P!N_xQ&{3es+)_I(=iV_Cgr(TY?rlLWepLfJm-;+}=w&p3H? zndBy>+19+_K16u>*%gZgouElZ#lZ?ndz>MPoLP^mdLuCubOFpG$=P#7+wuFiniFZF zqLqd!(WX!wo$kaM{l~F%#8lgV+B2@9WI2=nn~$ zCX7W5H*|r!U9ZVO$EXh~efcBG!$6IUKiAXH5yuA`=doPmAuqT_O$*OvPc6!Hk3Koq z;b-e2oC910GT7bs+>E|9iS4a+fp7I3XlR4%JA2gazp1aaF*@b^nug@HE-N<5`6nf-}=+oN=#wj9qxc=Jv*DaHpw!3qU>i@GU5d%oVe@-Pw`A8k!!ZKLnf9@58 zC$~ox?ED--Y+OT}b=A7m?k#OLLkXM^|L`Z`4`4u$CHx&YdR)Z&fgmP(p%+JK1Sqnw veb`vt_ELiCK4l Date: Thu, 4 Jan 2024 09:03:41 -0500 Subject: [PATCH 2/9] fix: #102 deprecated arg in derive_param_computed (#103) * fix: #102 deprecated arg in derive_param_computed * chore: #102 spelling * chore: #102 links --- inst/WORDLIST.txt | 4 ++++ posts/2023-06-27__hackathon_app/index.qmd | 4 ++-- .../valuelevel/derive_param_computed.qmd | 6 +++--- .../blanks_and_nas.qmd | 4 ++-- .../code_sections.qmd | 6 +++--- posts/2023-08-08_study_day/study_day.qmd | 4 ++-- .../date_functions_and_imputation.qmd | 20 +++++++++---------- 7 files changed, 26 insertions(+), 22 deletions(-) diff --git a/inst/WORDLIST.txt b/inst/WORDLIST.txt index f30b21fc..3ff11afd 100644 --- a/inst/WORDLIST.txt +++ b/inst/WORDLIST.txt @@ -511,3 +511,7 @@ pageID QHuA thome traceRedir +pKobZqjlXChj +si +vehIoJgdA +youtu diff --git a/posts/2023-06-27__hackathon_app/index.qmd b/posts/2023-06-27__hackathon_app/index.qmd index 3d0b6964..610afa76 100644 --- a/posts/2023-06-27__hackathon_app/index.qmd +++ b/posts/2023-06-27__hackathon_app/index.qmd @@ -23,7 +23,7 @@ long_slug <- "2023-06-19_shiny_run_script" We recently created a shiny application for the [`admiral` hackathon](https://cosa.cdisc.org/events/Admiral) in February 2023. -The [`admiral` hackathon](https://cosa.cdisc.org/events/Admiral) was an event designed to make statistical programmers from the pharmaceutical industry more comfortable with the [`admiral`](https://pharmaverse.github.io/admiral/cran-release/) R package which allows users to efficiently transform data from one data standard (SDTM) to another (ADaM). +The [`admiral` hackathon](https://cosa.cdisc.org/events/Admiral) was an event designed to make statistical programmers from the pharmaceutical industry more comfortable with the [`admiral`](https://pharmaverse.github.io/admiral/) R package which allows users to efficiently transform data from one data standard (SDTM) to another (ADaM). Hackathon participants formed groups of up to five people and were then tasked to create R-scripts that map the SDTM data to ADaM according to specifics defined in the metadata. @@ -32,7 +32,7 @@ The purpose of the shiny app was threefold: 1. Allow participants to easily register as a team. -2. Let participants upload their R-scripts, so that the [`admiral` team](https://github.com/pharmaverse/admiral/graphs/contributors) can see how the [`admiral`](https://pharmaverse.github.io/admiral/cran-release/) package is being used -- and how the functions and the documentation could be improved. +2. Let participants upload their R-scripts, so that the [`admiral` team](https://github.com/pharmaverse/admiral/graphs/contributors) can see how the [`admiral`](https://pharmaverse.github.io/admiral/) package is being used -- and how the functions and the documentation could be improved. 3. Run participants R-scripts on the cloud and compare the produced file to a solution file. diff --git a/posts/2023-06-27_admiral/valuelevel/derive_param_computed.qmd b/posts/2023-06-27_admiral/valuelevel/derive_param_computed.qmd index aff4d30a..490b8ba4 100644 --- a/posts/2023-06-27_admiral/valuelevel/derive_param_computed.qmd +++ b/posts/2023-06-27_admiral/valuelevel/derive_param_computed.qmd @@ -29,7 +29,7 @@ options(width = narrow) When creating ADaM Basic Data Structure (BDS) datasets, we often encounter deriving a new parameter based on the analysis values (e.g., AVAL) of other parameters. -The [`admiral`](https://pharmaverse.github.io/admiral/cran-release/) function [`derive_param_computed()`](https://pharmaverse.github.io/admiral/cran-release/reference/derive_param_computed.html) adds a parameter computed from the analysis value of other parameters. +The [`admiral`](https://pharmaverse.github.io/admiral/) function [`derive_param_computed()`](https://pharmaverse.github.io/admiral/reference/derive_param_computed.html) adds a parameter computed from the analysis value of other parameters. It works like a calculator to derive new records without worrying about merging and combining datasets, all you need is a derivation formula, which also improves the readability of the code. @@ -69,10 +69,10 @@ adex_admiral <- derive_param_computed( adex, by_vars = exprs(USUBJID), parameters = c("TOTDOSE", "NUMCYC"), - analysis_value = AVAL.TOTDOSE / AVAL.NUMCYC, set_values_to = exprs( PARAMCD = "ADPCYMG", - PARAM = "Actual Dose per Cycle (mg)" + PARAM = "Actual Dose per Cycle (mg)", + AVAL = AVAL.TOTDOSE / AVAL.NUMCYC ) ) ``` diff --git a/posts/2023-07-10_blanks_and_nas/blanks_and_nas.qmd b/posts/2023-07-10_blanks_and_nas/blanks_and_nas.qmd index 999ca980..8a0d4ef9 100644 --- a/posts/2023-07-10_blanks_and_nas/blanks_and_nas.qmd +++ b/posts/2023-07-10_blanks_and_nas/blanks_and_nas.qmd @@ -28,7 +28,7 @@ to bring in your source data to construct your ADaMs or SDTMs. Unfortunately, while using [haven](https://haven.tidyverse.org/) the character blanks (missing data) found in a typical SAS-based dataset are left as blanks. These blanks will typically prove problematic while using functions like `is.na` in combination with `dplyr::filter()` to subset data. Check out [Bayer's SAS2R catalog: handling-of-missing-values](https://bayer-group.github.io/sas2r/r-and-sas-syntax.html#handling-of-missing-values) for more discussion on missing values and `NAs`. -In the [admiral](https://pharmaverse.github.io/admiral/cran-release/) package, we have built a simple function called `convert_blanks_to_na()` to help us quickly remedy this problem. You can supply an entire dataframe to this function and it will convert any character blanks to `NA_character_` +In the [admiral](https://pharmaverse.github.io/admiral/) package, we have built a simple function called `convert_blanks_to_na()` to help us quickly remedy this problem. You can supply an entire dataframe to this function and it will convert any character blanks to `NA_character_` ## Loading Packages and Making Dummy Data @@ -64,7 +64,7 @@ df_na %>% filter(is.na(RFICDTC)) ## That's it! -A simple call to this function can make your derivation life so much easier while working in R if working with SAS-based datasets. In [admiral](https://pharmaverse.github.io/admiral/cran-release/), we make use of this function at the start of all ADaM templates for common ADaM datasets. You can use the function `use_ad_template()` to get the full R script for the below ADaMs. +A simple call to this function can make your derivation life so much easier while working in R if working with SAS-based datasets. In [admiral](https://pharmaverse.github.io/admiral/), we make use of this function at the start of all ADaM templates for common ADaM datasets. You can use the function `use_ad_template()` to get the full R script for the below ADaMs. ```{r} list_all_templates() diff --git a/posts/2023-07-14_code_sections/code_sections.qmd b/posts/2023-07-14_code_sections/code_sections.qmd index 1abe7899..647f7c78 100644 --- a/posts/2023-07-14_code_sections/code_sections.qmd +++ b/posts/2023-07-14_code_sections/code_sections.qmd @@ -23,7 +23,7 @@ long_slug <- "2023-07-14_code_sections" ## Introduction -The [`admiral`](https://pharmaverse.github.io/admiral/cran-release/) package embraces a modular style of programming, where blocks of code are pieced together in sequence to create an ADaM dataset. However, with the well-documented advantages of the modular approach comes the recognition that scripts will on average be longer. As such, astute programmers working in RStudio are constantly on the lookout for quick ways to effectively navigate their scripts. Enter **code sections**! +The [`admiral`](https://pharmaverse.github.io/admiral/) package embraces a modular style of programming, where blocks of code are pieced together in sequence to create an ADaM dataset. However, with the well-documented advantages of the modular approach comes the recognition that scripts will on average be longer. As such, astute programmers working in RStudio are constantly on the lookout for quick ways to effectively navigate their scripts. Enter **code sections**! ## So, what are code sections and why are they useful? @@ -73,7 +73,7 @@ For a complete list of Code Sections shortcuts, and for further information, see # Code Sections on `admiral` -Within the [`admiral`](https://pharmaverse.github.io/admiral/cran-release/) package, heavy use of code sections is made in scripts such as our template ADaM programs. This ensures that they are more traversable and also encourages good commenting practices throughout the program. Here is an example using the ADAE template program: +Within the [`admiral`](https://pharmaverse.github.io/admiral/) package, heavy use of code sections is made in scripts such as our template ADaM programs. This ensures that they are more traversable and also encourages good commenting practices throughout the program. Here is an example using the ADAE template program: ```{r, eval = FALSE, message = FALSE} library(admiral) @@ -87,7 +87,7 @@ knitr::include_graphics("adae_code_sections.png") ``` ## Conclusion -Code sections are an easy way to navigate long scripts and foster good commenting practices. They are used extensively in the [`admiral`](https://pharmaverse.github.io/admiral/cran-release/) package, but there is no reason that you cannot start using them yourself in your day-to-day R programming! +Code sections are an easy way to navigate long scripts and foster good commenting practices. They are used extensively in the [`admiral`](https://pharmaverse.github.io/admiral/) package, but there is no reason that you cannot start using them yourself in your day-to-day R programming! diff --git a/posts/2023-08-08_study_day/study_day.qmd b/posts/2023-08-08_study_day/study_day.qmd index e3c4077d..384ba1fe 100644 --- a/posts/2023-08-08_study_day/study_day.qmd +++ b/posts/2023-08-08_study_day/study_day.qmd @@ -21,7 +21,7 @@ long_slug <- "2023-08-08_study_day" -Creating `--DY` variables for your ADaMs is super easy using [`derive_vars_dy()`](https://pharmaverse.github.io/admiral/v0.11.1/reference/derive_vars_dy.html) from the [admiral package](https://pharmaverse.github.io/admiral/cran-release/). +Creating `--DY` variables for your ADaMs is super easy using [`derive_vars_dy()`](https://pharmaverse.github.io/admiral/v0.11.1/reference/derive_vars_dy.html) from the [admiral package](https://pharmaverse.github.io/admiral/). Let's build some dummy data with 4 subjects, a start date/time for treatment (`TRTSDTM`), an analysis start date/time variable (`ASTDTM`) and an analysis end date variable (`AENDT`). @@ -73,7 +73,7 @@ derive_vars_dy( ``` -If you want to get `--DT` or `--DTM` variables using `admiral` then check out [`derive_vars_dt()`](https://pharmaverse.github.io/admiral/cran-release/reference/derive_vars_dt.html) and [`derive_vars_dtm()`](https://pharmaverse.github.io/admiral/cran-release/reference/derive_vars_dtm.html). If things are messy in your data, e.g. partial dates, both functions have great imputation abilities, which we will cover in an upcoming blog post! +If you want to get `--DT` or `--DTM` variables using `admiral` then check out [`derive_vars_dt()`](https://pharmaverse.github.io/admiral/reference/derive_vars_dt.html) and [`derive_vars_dtm()`](https://pharmaverse.github.io/admiral/reference/derive_vars_dtm.html). If things are messy in your data, e.g. partial dates, both functions have great imputation abilities, which we will cover in an upcoming blog post! diff --git a/posts/2023-09-26_date_functions_and_imputation/date_functions_and_imputation.qmd b/posts/2023-09-26_date_functions_and_imputation/date_functions_and_imputation.qmd index 017dba0e..650984b1 100644 --- a/posts/2023-09-26_date_functions_and_imputation/date_functions_and_imputation.qmd +++ b/posts/2023-09-26_date_functions_and_imputation/date_functions_and_imputation.qmd @@ -36,19 +36,19 @@ In this article, we first examine the arsenal of functions provided by`{admiral} `{admiral}` provides the following functions for date/datetime imputation: - Derivations for adding variables - - [derive_vars_dt()](https://pharmaverse.github.io/admiral/cran-release/reference/derive_vars_dt.html): Adds a date variable and a date imputation flag variable (optional) based on a --DTC variable and imputation rules. - - [derive_vars_dtm()](https://pharmaverse.github.io/admiral/cran-release/reference/derive_vars_dtm.html): Adds a datetime variable, a date imputation flag variable, and a time imputation flag variable (both optional) based on a --DTC variable and imputation rules. + - [derive_vars_dt()](https://pharmaverse.github.io/admiral/reference/derive_vars_dt.html): Adds a date variable and a date imputation flag variable (optional) based on a --DTC variable and imputation rules. + - [derive_vars_dtm()](https://pharmaverse.github.io/admiral/reference/derive_vars_dtm.html): Adds a datetime variable, a date imputation flag variable, and a time imputation flag variable (both optional) based on a --DTC variable and imputation rules. - Computation functions - - [impute_dtc_dtm()](https://pharmaverse.github.io/admiral/cran-release/reference/impute_dtc_dtm.html): Returns a complete ISO 8601 datetime or `NA` based on a partial ISO 8601 datetime and imputation rules. - - [impute_dtc_dt()](https://pharmaverse.github.io/admiral/cran-release/reference/impute_dtc_dt.html): Returns a complete ISO 8601 date (without time) or `NA` based on a partial ISO 8601 date(time) and imputation rules. - - [convert_dtc_to_dt()](https://pharmaverse.github.io/admiral/cran-release/reference/convert_dtc_to_dt.html): Returns a date if the input ISO 8601 date is complete. Otherwise, `NA` is returned. - - [convert_dtc_to_dtm()](https://pharmaverse.github.io/admiral/cran-release/reference/convert_dtc_to_dtm.html): Returns a datetime if the input ISO 8601 date is complete (with missing time replaced by `"00:00:00"` as default). Otherwise, NA is returned. - - [compute_dtf()](https://pharmaverse.github.io/admiral/cran-release/reference/compute_dtf.html): Returns the date imputation flag. - - [compute_tmf()](https://pharmaverse.github.io/admiral/cran-release/reference/compute_tmf.html): Returns the time imputation flag. + - [impute_dtc_dtm()](https://pharmaverse.github.io/admiral/reference/impute_dtc_dtm.html): Returns a complete ISO 8601 datetime or `NA` based on a partial ISO 8601 datetime and imputation rules. + - [impute_dtc_dt()](https://pharmaverse.github.io/admiral/reference/impute_dtc_dt.html): Returns a complete ISO 8601 date (without time) or `NA` based on a partial ISO 8601 date(time) and imputation rules. + - [convert_dtc_to_dt()](https://pharmaverse.github.io/admiral/reference/convert_dtc_to_dt.html): Returns a date if the input ISO 8601 date is complete. Otherwise, `NA` is returned. + - [convert_dtc_to_dtm()](https://pharmaverse.github.io/admiral/reference/convert_dtc_to_dtm.html): Returns a datetime if the input ISO 8601 date is complete (with missing time replaced by `"00:00:00"` as default). Otherwise, NA is returned. + - [compute_dtf()](https://pharmaverse.github.io/admiral/reference/compute_dtf.html): Returns the date imputation flag. + - [compute_tmf()](https://pharmaverse.github.io/admiral/reference/compute_tmf.html): Returns the time imputation flag. From the point of view of a typical ADaM programmer, the functions `impute_*`, `convert_*` and `compute_*` above can be viewed as utilities for treating dates and/or imputation within any custom code. In contrast, their `derive_*` find their use in directly deriving new timing variables and/or carrying out imputation at an ADaM dataset scale. -For a detailed look at the Imputation rules applied by these `{admiral}` functions, please visit [this vignette](https://pharmaverse.github.io/admiral/cran-release/articles/imputation.html#imputation-rules) on the documentation website. +For a detailed look at the Imputation rules applied by these `{admiral}` functions, please visit [this vignette](https://pharmaverse.github.io/admiral/articles/imputation.html#imputation-rules) on the documentation website. # Simple Examples with Vectors @@ -313,7 +313,7 @@ dataset_vignette(vs) Deriving timing variables and carrying out imputations is tricky at the best of times, but hopefully this blog post can shed some light on how make this all easier using the `{admiral}` package! As `{admiral}` developers we are always interested in knowing how users are employing the package for their ADaM needs, so if you have any comments or feedback related to this topic, don't be afraid to leave a comment on our [Slack channel](https://app.slack.com/client/T028PB489D3/C02M8KN8269) or on the [Github repository](https://github.com/pharmaverse/admiral/), either as an issue or as a discussion. -For an even more detailed treatment of this topic, users are once again invited to read the corresponding [vignette](https://pharmaverse.github.io/admiral/cran-release/articles/imputation.html) on the documentation website, from which this article was adapted. +For an even more detailed treatment of this topic, users are once again invited to read the corresponding [vignette](https://pharmaverse.github.io/admiral/articles/imputation.html) on the documentation website, from which this article was adapted. From 97193e5bdca2ca3c9dc0cb995bb6b973d573b274 Mon Sep 17 00:00:00 2001 From: Michael Stackhouse Date: Thu, 4 Jan 2024 09:28:02 -0500 Subject: [PATCH 3/9] Gh issue 95 (#104) * Initial blog post * Corrections and add to wordlist * Fix link * Update posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd Co-authored-by: Ross Farrugia <82581364+rossfarrugia@users.noreply.github.com> * Update posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Add line on keynote. * Add panel session reference * Rename things for updated publish date --------- Co-authored-by: Ross Farrugia <82581364+rossfarrugia@users.noreply.github.com> Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> Co-authored-by: Ben Straub --- inst/WORDLIST.txt | 2 +- .../2024-01-04_end_of__year__up.../appendix.R | 78 ++++++++++++++++++ ..._update_from_the__pharmaverse__council.qmd | 56 +++++++++++++ .../pharmaverse.png | Bin 0 -> 21533 bytes 4 files changed, 135 insertions(+), 1 deletion(-) create mode 100644 posts/2024-01-04_end_of__year__up.../appendix.R create mode 100644 posts/2024-01-04_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd create mode 100644 posts/2024-01-04_end_of__year__up.../pharmaverse.png diff --git a/inst/WORDLIST.txt b/inst/WORDLIST.txt index 3ff11afd..d5d80024 100644 --- a/inst/WORDLIST.txt +++ b/inst/WORDLIST.txt @@ -514,4 +514,4 @@ traceRedir pKobZqjlXChj si vehIoJgdA -youtu +youtu \ No newline at end of file diff --git a/posts/2024-01-04_end_of__year__up.../appendix.R b/posts/2024-01-04_end_of__year__up.../appendix.R new file mode 100644 index 00000000..ece5203f --- /dev/null +++ b/posts/2024-01-04_end_of__year__up.../appendix.R @@ -0,0 +1,78 @@ +# markdown helpers -------------------------------------------------------- + +markdown_appendix <- function(name, content) { + paste(paste("##", name, "{.appendix}"), " ", content, sep = "\n") +} +markdown_link <- function(text, path) { + paste0("[", text, "](", path, ")") +} + + + +# worker functions -------------------------------------------------------- + +insert_source <- function(repo_spec, name, + collection = "posts", + branch = "main", + host = "https://github.com", + text = "source code") { + path <- paste( + host, + repo_spec, + "tree", + branch, + collection, + name, + "code_sections.qmd", + sep = "/" + ) + return(markdown_link(text, path)) +} + +insert_timestamp <- function(tzone = Sys.timezone()) { + time <- lubridate::now(tzone = tzone) + stamp <- as.character(time, tz = tzone, usetz = TRUE) + return(stamp) +} + +insert_lockfile <- function(repo_spec, name, + collection = "posts", + branch = "main", + host = "https://github.com", + text = "R environment") { + path <- paste( + host, + repo_spec, + "tree", + branch, + collection, + name, + "renv.lock", + sep = "/" + ) + return(markdown_link(text, path)) +} + + + +# top level function ------------------------------------------------------ + +insert_appendix <- function(repo_spec, name, collection = "posts") { + appendices <- paste( + markdown_appendix( + name = "Last updated", + content = insert_timestamp() + ), + " ", + markdown_appendix( + name = "Details", + content = paste( + insert_source(repo_spec, name, collection), + insert_lockfile(repo_spec, name, collection), + sep = ", " + ) + ), + sep = "\n" + ) + knitr::asis_output(appendices) +} diff --git a/posts/2024-01-04_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd b/posts/2024-01-04_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd new file mode 100644 index 00000000..5691ffef --- /dev/null +++ b/posts/2024-01-04_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd @@ -0,0 +1,56 @@ +--- +title: "End of Year Update from the Pharmaverse Council" +author: + - name: Mike Stackhouse +description: "" +date: "2024-01-04" +# please do not use any non-default categories. +# You can find the default categories in the repository README.md +categories: [community] +# feel free to change the image +image: "pharmaverse.png" + +--- + + + +```{r setup, include=FALSE} +long_slug <- "2024-01-04_end_of__year__up..." +# renv::use(lockfile = "renv.lock") +``` + + + +## 2023 Was a Big Year + +This was a big year for open-source work in clinical submissions in general. We saw Roche speak about shifting to an [open-source backbone for clinical trials](https://www.youtube.com/watch?v=nqJsLSLd39A). Novo Nordisk spoke publicly of an [R based submission to the FDA](https://www.youtube.com/watch?v=t33dS17QHuA). These are true marks of progress being made in R becoming a first class language for clinical reporting. + +Back in August, Nicholas Eugenio released a [blog post](https://pharmaverse.github.io/blog/posts/2023-10-10_pharmaverse_story/pharmaverse_story.html) on the history of pharmaverse. It's funny to think about the fact that only 3 years ago, the idea of cross organization collaboration on R packages and building a community around this in the clinical world was just a conversation between friends. Since then, we have a community of more than 1200 people on Slack, 350 on LinkedIn, interest from over 150 organizations, and over 30 packages. If 2020 through 2022 was the birth of Pharmaverse, 2023 was finding our identity as a community. For the council, 2024 will be about continuing to mature and find more ways that we can continue to support the community. + +## What We Accomplished + +One of our biggest moves in 2023 was to form our partnership with [PHUSE](https://phuse.global/PHUSE_Open_Source_Technology). This latched us into an existing community with shared values and a platform that helps us continue to build the pharmaverse community. At the [PHUSE EU Connect](https://www.phuse-events.org/attend/frontend/reg/thome.csp?pageID=11403&eventID=19&traceRedir=2) we had our first opportunity to host a pharmaverse meetup and bring together pharmaverse contributors in person. Additionally, there was an excellent panel session highlighting our use and adoption of open-source across industry, including the pharmaceutical, commercial, and software perspectives. As we move forward, we'll continue to use this platform to find ways we can host events and encourage collaboration within the pharmaverse community. + +This year our community was also able to launch new platforms to share updates and knowledge throughout the industry. The [pharmaverse examples](https://pharmaverse.github.io/examples/) webpage was launched to show pharmaverse packages in action, and the [pharmaverse blog](https://pharmaverse.github.io/blog/) (which I'm using right here!) provides a platform to share updates and community news. + +## Where Next? + +Back in October, I had the opportunity to do an interview with Michael Rimler for the [PHUSE video series](https://youtu.be/F3vehIoJgdA?si=80p0pKobZqjlXChj) Open Source Technologies in Clinical Data Analytics. The last question he asked me was what I expect the state of data analytics in life science to be in 2 to 3 years. My response was that when that time comes, I hope I couldn't have predicted where we would be - because back in 2020 I could never have predicted where we are now. The progress we've made is unbelievable, and the pharmaverse community has played a huge role in getting us where we are today. For the pharmaverse community, I hope to see that progress continue as we move into next year. As a council, our goal is to continue to mature this community. How can we support and foster collaboration between our organizations? How can we leverage this platform to drive the industry forward? + +For you as an individual, there's always an opportunity to get involved - and you don't have to be a package developer to contribute. You can [join a working group](https://pharmaverse.org/contribute/wg/), write [examples](https://github.com/pharmaverse/examples), or author a [blog post](https://github.com/pharmaverse/blog). Furthermore, you can get started with the pharmaverse packages, provide feedback via issues, and advocate for their use within your own organization. The pharmaverse community doesn't exist without you, and we're happy to have you all here to help us build this together. + +## P.S. + +At PHUSE US Connect 2024 this coming February, be on the lookout for one of the keynote presentations from Michael Rimler and Ross Farrugia! We hope to see you there! + +Here's to a 2024 full of progress and collaboration! + + + +```{r, echo=FALSE} +source("appendix.R") +insert_appendix( + repo_spec = "pharmaverse/blog", + name = long_slug +) +``` diff --git a/posts/2024-01-04_end_of__year__up.../pharmaverse.png b/posts/2024-01-04_end_of__year__up.../pharmaverse.png new file mode 100644 index 0000000000000000000000000000000000000000..0d7fc797c590be7d0c604d20dde5c0dcda36e1ae GIT binary patch literal 21533 zcmce+b8w_zw=mkVtw}PmZBA_4nb=l`6Whkbo|qHc#)K2woY=|N^LyX-obQiQ=T_ZY zb-Sypc0bQv*lVx7_ELnBf+P|=9y|a5K$4acQvm?L=>Ps;p+QePePUe!0C-U=QBfsn zQBh(?X9sgDTQdN_V+<~k<@Za+Vbx zKN>n^!a;#GfJY^Sk9UbEPEl%Lw9_9POKJ;}81-Ph&jM-?0Qdvp>ER2k6?_G&aR7h= z92XeL(TBG`g4&cQH37s4fGtw=Lj?-NY&h z?%xRoaEsN7M-egv_@|4|PXLIy!2zO#7?Tjhau9jUv)x-|296;uQec3d@s!Cl*;zKs zmXu$3?$>{|c1U*mZ0kgfaA;7?;r2+g(lW^~qz)nErVs%Dyr-GocW%M>!-Ku;1M@@M z%iF<%cbh*Bqyi*Yo9`Xb;E(`Rh3U%`gZ=$Q2*+WtTGwuyGF`xm2EcOjNsnz6E>8#k zm)BF2C-`cm#xV3gi4v=G`cP54LTGttj7n(A)P_uRj2%459R@p2DCv 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ef_msrc section * feat: #96 finished function section. working on bug and argument section * feat: #96 stability section * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * Update posts/2023-12-18_admiral_1_0/admiral_1_0.qmd Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> * chore: #96 remove duplicate post. enable dark mode * feat: #96 way back machine introduced * fix: #96 review comments * chore: #96 style and spelling * chore: #96 ignore appsilon link. spelling --------- Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com> --- .lycheeignore | 1 + R/create_blogpost.R | 10 +- _quarto.yml | 1 + inst/WORDLIST.txt | 27 +- media/new_features.jpg | Bin 0 -> 80328 bytes posts/2023-12-18_admiral_1_0/admiral_1_0.qmd | 290 ++++++++++++++++++ posts/2023-12-18_admiral_1_0/admiraldisc.png | Bin 0 -> 62085 bytes .../appendix.R | 0 posts/2023-12-18_admiral_1_0/cheatsheet.png | Bin 0 -> 562493 bytes posts/2023-12-18_admiral_1_0/check.png | Bin 0 -> 42805 bytes posts/2023-12-18_admiral_1_0/issue_tag.png | Bin 0 -> 21913 bytes posts/2023-12-18_admiral_1_0/new_features.jpg | Bin 0 -> 355060 bytes posts/2023-12-18_admiral_1_0/wayback.png | Bin 0 -> 52835 bytes ..._update_from_the__pharmaverse__council.qmd | 56 ---- .../pharmaverse.png | Bin 21533 -> 0 bytes 15 files changed, 323 insertions(+), 62 deletions(-) create mode 100644 media/new_features.jpg create mode 100644 posts/2023-12-18_admiral_1_0/admiral_1_0.qmd create mode 100644 posts/2023-12-18_admiral_1_0/admiraldisc.png rename posts/{2023-12-21_end_of__year__up... => 2023-12-18_admiral_1_0}/appendix.R (100%) create mode 100644 posts/2023-12-18_admiral_1_0/cheatsheet.png create mode 100644 posts/2023-12-18_admiral_1_0/check.png create mode 100644 posts/2023-12-18_admiral_1_0/issue_tag.png create mode 100644 posts/2023-12-18_admiral_1_0/new_features.jpg create mode 100644 posts/2023-12-18_admiral_1_0/wayback.png delete mode 100644 posts/2023-12-21_end_of__year__up.../end_of__year__update_from_the__pharmaverse__council.qmd delete mode 100644 posts/2023-12-21_end_of__year__up.../pharmaverse.png diff --git a/.lycheeignore b/.lycheeignore index 59fccf53..8b50d369 100644 --- a/.lycheeignore +++ b/.lycheeignore @@ -8,3 +8,4 @@ https://pharmaverse.github.io/blog/posts/2023-06-27_hackathon_app/ https://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-doesn_0027t-R-think-these-numbers-are-equal_003f https://go.appsilon.com/demo-apps https://doi.org/10.1177/17407745221123244 +https://appsilon.com/static/35215a117d1bc17fac2179f059c3709f/rhino_fda_pilot_r_shiny_app_e-ctd.webm diff --git a/R/create_blogpost.R b/R/create_blogpost.R index 8cd52905..7d98d17b 100644 --- a/R/create_blogpost.R +++ b/R/create_blogpost.R @@ -15,12 +15,12 @@ c( # Fill in the info, e.g.: create_post( - post_name = "pharmaverse story", # needs to be character vector (length 1) - post_date = "2023-08-30", # needs to be character vector (length 1) + post_name = "admiral_1_0", # needs to be character vector (length 1) + post_date = "2023-12-18", # needs to be character vector (length 1) description = "", # you can fill the description in later as well - author = c("Nicholas Eugenio"), # one or more authors are permitted - cover_image = "pharmaverse", # chose one of the above (see line 8) - tags = c("community") # chose (multiple) from line 10 + author = c("Ben Straub"), # one or more authors are permitted + cover_image = "new_features", # chose one of the above (see line 8) + tags = c("admiral") # chose (multiple) from line 10 ) diff --git a/_quarto.yml b/_quarto.yml index b13d2b15..8a81dff2 100644 --- a/_quarto.yml +++ b/_quarto.yml @@ -32,6 +32,7 @@ format: html: theme: light: [minty, ember.scss] + dark: darkly #ember.scss css: styles.css # 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zOF`QaQCShz#U`u}~5)H~_e5@Tg^#~HoZAtlrW15>xB;Lx7U|{43a}S}Z@D=7iB9Tcs_Z!xR%h<5RaFm;#$Y`1PVwj3eLPDb3Zu*XhSC<%N#u#>-X!wk5f)8Q+EUB&- zbs?B0XZb<<11dwdBiLpuXA;EX;2hVn^a9>d6|0VmiW)wpy~XUoMWPE^!4}ywbucg= zh~@z=ZwR0jfM0)UpeV9>hpGXFJR|cf6O&NWmY;H?px_TJ#V77DfUJ{d^${UWs@lGl zX^DkJr2%KX!%4v)uZdZ}58)NUi^A6b08`m;JDf8VD5vd#W>_e~z=c=t72W-zWn1?U zNZ6GWY^C?4b!f$WQTcyyTV7xxTaI+M8=SVRg=m~GW&zlWFmn@_F5`t<{Yk&X05XLK zy1y#GUK~YdjA%T}enc&GhwzED#?D|XP*1tsD + +```{r setup, include=FALSE} +long_slug <- "2023-12-18_admiral_1_0" +# renv::use(lockfile = "renv.lock") +``` + + + +[`admiral 1.0.0`](https://pharmaverse.github.io/admiral/index.html) is out on [CRAN](https://cran.r-project.org/web/packages/admiral/index.html). This release brings several new features to your tool set +for working with ADaMs in R. [`admiral 1.0.0`](https://pharmaverse.github.io/admiral/index.html) also brings needed stability to users who were wishing +to adopt [admiral](https://pharmaverse.github.io/admiral/index.html), but were a little worried by the fast deprecation and experimentation for `pre-v1.0.0` releases. + +This blog post will discuss our commitment to stability, walk you through the new features available, discuss some of the bug fixes, a push for common APIs across our functions, and showcase the resources available to help you on-board to [admiral](https://pharmaverse.github.io/admiral/index.html). + +# Commitment to Stability + +`{admiral}` was born out of a conversation between Thomas Neitmann and Michael Rimler almost three years ago. Check out this [history blog post](https://pharmaverse.github.io/blog/posts/2023-10-10_pharmaverse_story/pharmaverse_story.html) for some of additional context on its development. Over the last three years, we have worked at a furious pace to produce functions that can do almost all derivations needed for common ADaMs. However, we have noticed that some functions are very similar to others and with some minor tweaks could be made redundant in favor of other functions. This has lead to some deprecation of either whole functions or arguments as we have sought to consolidate. Unfortunately, this creates a lot of frustration for users. + +Enter Superseded!! + +Now with the release of `1.0.0` we are going to _supersede_ functions going forward. This is the process where when we introduce new functions to replace other functions, we will no longer fast-deprecate the replaced functions. Now we will supersede them, i.e. we will keep the function in the codebase for a long time, but recommend the use of the new function. If the function were to be removed from the codebase this will be done many years from the time it is superseded. Please note that although superseded functions are not in scope for active development, any bugs identified within them will nevertheless be fixed. + + +# New Features + +We have 3 new functions available in this release: + +* [derive_vars_extreme_event()](https://pharmaverse.github.io/admiral/reference/derive_vars_extreme_event.html) +* [derive_var_merged_ef_msrc()](https://pharmaverse.github.io/admiral/reference/derive_var_merged_ef_msrc.html) +* [derive_vars_computed()](https://pharmaverse.github.io/admiral/reference/derive_vars_computed.html) + +and a new option in [derive_var_atoxgr_dir()](https://pharmaverse.github.io/admiral/reference/derive_var_atoxgr_dir.html) and [derive_var_anrind()](https://pharmaverse.github.io/admiral/reference/derive_var_anrind.html) to handle floating point issues. + +## `derive_vars_extreme_event()` + +This function takes available records from user-defined events by selecting the extreme observations and appending them as a variable(s) to your dataset. [derive_vars_extreme_event()](https://pharmaverse.github.io/admiral/reference/derive_vars_extreme_event.html) works similar to [`derive_extreme_event()`](https://pharmaverse.github.io/admiral/reference/derive_extreme_event.html), but instead of adding observations the function will add variable(s). + +Let's take a peek with a very simple example where we just use ADSL! The documentation for +[derive_vars_extreme_event()](https://pharmaverse.github.io/admiral/reference/derive_vars_extreme_event.html) has a much richer example with events from other domains that is more aligned to where you would use this function. + +Let us make some dummy `ADSL` data and load up our packages. The goal here is to add two new variables `LSTALVDT` and `DTHFL` based on a list of objects that are used to specify the following: + + - the dataset to look at + - a set of conditions + - what to set the values for the new variables + +```{r, message = FALSE, warning = FALSE} +library(tibble) +library(admiral) +library(lubridate) + +adsl <- tribble( + ~STUDYID, ~USUBJID, ~TRTEDT, ~DTHDT, + "PILOT01", "01-1130", ymd("2014-08-16"), ymd("2014-09-13"), + "PILOT01", "01-1133", ymd("2013-04-28"), ymd(""), + "PILOT01", "01-1211", ymd("2013-01-12"), ymd(""), + "PILOT01", "09-1081", ymd("2014-04-27"), ymd(""), + "PILOT01", "09-1088", ymd("2014-10-09"), ymd("2014-11-01"), +) +``` + + + +In this example, we only use `ADSL` as the source dataset, so it is a bit contrived, but much more compact for us. Note the use of the `events` that is taking in our list of event objects and the different conditions and values we set to create our `LSTALVDT` and `DTHFL` variables. + +```{r} +derive_vars_extreme_event( + adsl, + by_vars = exprs(STUDYID, USUBJID), + events = list( + event( + dataset_name = "adsl", + condition = !is.na(DTHDT), + set_values_to = exprs(LSTALVDT = DTHDT, DTHFL = "Y") + ), + event( + dataset_name = "adsl", + condition = !is.na(TRTEDT), + set_values_to = exprs(LSTALVDT = TRTEDT, DTHFL = "N") + ) + ), + source_datasets = list(adsl = adsl), + order = exprs(LSTALVDT), + mode = "last", + new_vars = exprs(LSTALVDT = LSTALVDT, DTHFL = DTHFL) +) +``` + +Okay! We used a very small example to showcase how to find extreme observations and +appending this information as new variables to our `ADSL` dataset. Highly recommend checking +out the more detailed example in the [function documentation](https://pharmaverse.github.io/admiral/reference/derive_vars_extreme_event.html) to see its true power! + +## `derive_var_merged_ef_msrc()` + +This function has some similarity to [derive_vars_extreme_event()](https://pharmaverse.github.io/admiral/reference/derive_vars_extreme_event.html), but now we are only looking at adding a single flag variable based on checking conditions across multiple datasets. + +We develop some _simple_ dummy data for `ADSL`, `CM` and `PR`. Our goal is to flag patients who have `CMCAT = "ANTI-CANCER"` in the `CM` dataset or have records in the `PR` dataset. Any participants who meet these conditions will have our new variable `CANCTRFL` set as `"Y"`. + +```{r, message = FALSE, warning = FALSE} +adsl <- tribble( + ~USUBJID, + "1", + "2", + "3", + "4", +) + +cm <- tribble( + ~USUBJID, ~CMCAT, ~CMSEQ, + "1", "ANTI-CANCER", 1, + "1", "GENERAL", 2, + "2", "GENERAL", 1, + "3", "ANTI-CANCER", 1 +) + +pr <- tribble( + ~USUBJID, ~PRSEQ, + "2", 1, + "3", 1 +) +``` + + +Now we have the argument `flag_events` that takes a list of objects where we define the conditions and datasets to check in. + +```{r} +derive_var_merged_ef_msrc( + adsl, + flag_events = list( + flag_event( + dataset_name = "cm", + condition = CMCAT == "ANTI-CANCER" + ), + flag_event( + dataset_name = "pr" + ) + ), + source_datasets = list(cm = cm, pr = pr), + by_vars = exprs(USUBJID), + new_var = CANCTRFL +) +``` + +Let's go! We searched over multiple datasets, `CM` and `PR`, with multiple conditions and appended a new variable `CANCTRFL` to `ADSL` setting to `"Y"` if those conditions were met. + +## `derive_vars_computed()` + +This function is very similar to [derive_param_computed()](https://pharmaverse.github.io/admiral/reference/derive_param_computed.html), but instead of adding observations we are going to add variable(s). Very handy when wanting to add some additional variables to `ADSL`, e.g. baseline variables. + +Let's make some dummy data for an `ADSL` and `ADVS`. Our goal is to derive a `BMIBL` variable pulled from `ADVS` and append to `ADSL`. + +```{r} +adsl <- tribble( + ~STUDYID, ~USUBJID, ~AGE, ~AGEU, + "PILOT01", "01-1302", 61, "YEARS", + "PILOT01", "17-1344", 64, "YEARS" +) + +advs <- tribble( + ~STUDYID, ~USUBJID, ~PARAMCD, ~PARAM, ~VISIT, ~AVAL, ~AVALU, ~ABLFL, + "PILOT01", "01-1302", "HEIGHT", "Height (cm)", "SCREENING", 177.8, "cm", "Y", + "PILOT01", "01-1302", "WEIGHT", "Weight (kg)", "SCREENING", 81.19, "kg", "N", + "PILOT01", "01-1302", "WEIGHT", "Weight (kg)", "BASELINE", 82.1, "kg", "Y", + "PILOT01", "01-1302", "WEIGHT", "Weight (kg)", "WEEK 2", 81.19, "kg", "N", + "PILOT01", "01-1302", "WEIGHT", "Weight (kg)", "WEEK 4", 82.56, "kg", "N", + "PILOT01", "01-1302", "WEIGHT", "Weight (kg)", "WEEK 6", 80.74, "kg", "N", + "PILOT01", "17-1344", "HEIGHT", "Height (cm)", "SCREENING", 163.5, "cm", "Y", + "PILOT01", "17-1344", "WEIGHT", "Weight (kg)", "SCREENING", 58.06, "kg", "N", + "PILOT01", "17-1344", "WEIGHT", "Weight (kg)", "BASELINE", 58.06, "kg", "Y", + "PILOT01", "17-1344", "WEIGHT", "Weight (kg)", "WEEK 2", 58.97, "kg", "N", + "PILOT01", "17-1344", "WEIGHT", "Weight (kg)", "WEEK 4", 57.97, "kg", "N", + "PILOT01", "17-1344", "WEIGHT", "Weight (kg)", "WEEK 6", 58.97, "kg", "N" +) +``` + +Take a look at how we use `new_vars` and `filter_add`. We use a function inside of `new_vars` to help us calculate the `BMI` while using the `filter_add` argument to only look at baseline records for the calculation. + +```{r} +derive_vars_computed( + dataset = adsl, + dataset_add = advs, + by_vars = exprs(STUDYID, USUBJID), + parameters = c("WEIGHT"), + constant_by_vars = exprs(STUDYID, USUBJID), + constant_parameters = c("HEIGHT"), + new_vars = exprs(BMIBL = compute_bmi(height = AVAL.HEIGHT, weight = AVAL.WEIGHT)), + filter_add = ABLFL == "Y" +) +``` + +Alright! Simple enough. We just took records from `ADVS`to help us calculate the `BMI` at baseline using this function and appended our new variable to `ADSL`. + +# Argument Alignment and Bug Fixes + +## Argument Alignment + +A huge push was made for `1.0.0` to help align our arguments across all of `{admiral}` functions. What does this mean? We identified arguments in functions where the argument did the same things but was slightly named differently. For `1.0.0`, we really want users to have a solid API for `{admiral}` functions. + +Let's take a peak at the function [`consolidate_metadata()`](https://pharmaverse.github.io/admiral/reference/consolidate_metadata.html) to even better understand our goal here. + +``` +consolidate_metadata( + datasets, + key_vars, + source_var = SOURCE, + check_vars = "warning", + check_keys, + check_type = "error" +) +``` + +In previous versions of `{admiral}` the `consolidate_metadata()` function had the argument `check_keys`, which helps to check uniqueness. Other functions had a similar argument, but were called `check_unique`. Therefore, to better align our common API for `{admiral}` functions we decided to rename the `check_keys` argument to `check_unique`. You can follow the discussion around this renaming effort in this [GitHub Issue](https://github.com/pharmaverse/admiral/issues/2184). + +```{r, fig.align = 'center', echo=FALSE} +knitr::include_graphics("check.png") +``` + + +The argument has a deprecated tag in the function documentation and will issue a warning to users. There was quite a bit of renaming of arguments for `1.0.0` so there are quite a few of these tags in our documentation. In subsequent releases, these arguments will be removed. Please see the [changelog](https://pharmaverse.github.io/admiral/news/index.html#admiral-100) if you would like to explore other functions that had arguments renamed. The issues are linked to each rename so you can follow along with the discussions! + +## Bug Fixes + +We love fixing bugs and take them incredibly seriously - especially when identified by members from the community. + +If you find a pesky bug, please fill out a [Bug Report](https://github.com/pharmaverse/admiral/issues/new/choose) on our Issues Tab. + +Each bug fixed by our development team is documented in our [changelog](https://pharmaverse.github.io/admiral/news/index.html#updates-of-existing-functions-1-0-0) with the Issue linked. + +```{r, fig.align = 'center', echo=FALSE} +knitr::include_graphics("issue_tag.png") +``` + + +For example, if you click through the issue for [`derive_extreme_event()`](https://github.com/pharmaverse/admiral/issues/2291) that identified a problem where the `condition` was ignored if the `mode` argument was used, you can see the Bug Report along with a reproducible example. You can also see the Pull Request for the exact code changes that are addressing this bug linked in the Issue! Way cool! + + +# New On-boarding Resources + +`{admiral}` has a lot of functions for working with ADaMs. This can be overwhelming for new users and we really sympathize. To help new users onboarding to `{admiral}` we have developed the following resources: + +## [admiraldiscovery](https://pharmaverse.github.io/admiraldiscovery/index.html) + +This is a dedicated website that lists out in a tabular format standard ADaM datasets and their common variables with corresponding `{admiral}` functions that could be used to create the variables. Very handy when you just want to get some starter code on deriving `EOSDT` or `TRTSDT`! + + +```{r, fig.align = 'center', echo=FALSE} +knitr::include_graphics("admiraldisc.png") +``` + + +## [admiral Cheat Sheet](https://github.com/pharmaverse/admiral/blob/main/inst/cheatsheet/admiral_cheatsheet.pdf) + +Inspired by other R package cheat sheets! We try and surface commonly needed functions for doing ADaM derivations with simple tables to show how the data is transforming. + +```{r, fig.align = 'center', echo=FALSE} +knitr::include_graphics("cheatsheet.png") +``` + +## Way Back Machine + +Studies can last a long time. Adopting R as your primary analysis language for your study can introduce certain risks around package dependencies. Fixing those dependencies to certain package versions can help mitigate those risks. Unfortunately, as package websites are updated those helpful documents, examples and vignettes can be lost as the version changes. Do not lose heart `{admiral}` users. If you decided to fix to a certain version of `{admiral}`, we have you covered with our __Way Back Machine__ that allows you to change the website documentation back to the version you are using. + +```{r, fig.align = 'center', echo=FALSE} +knitr::include_graphics("wayback.png") +``` + + + +```{r, echo=FALSE} +source("appendix.R") +insert_appendix( + repo_spec = "pharmaverse/blog", + name = long_slug +) +``` diff --git a/posts/2023-12-18_admiral_1_0/admiraldisc.png b/posts/2023-12-18_admiral_1_0/admiraldisc.png new file mode 100644 index 0000000000000000000000000000000000000000..17388602bf3f0124d2b091aaeee7ff289470c15d GIT binary patch literal 62085 zcmdqJc~sKh*9Ka@N}JS%uThSTTB&G`Ig*)~sactticqFGrQ$pwP??&VnmLejS!#~t zJOZUT;*cXbf#fVADhMiqm-@c$B&h zB@-%@J||z36S({2_!+ZD&yJLdR_&AZ=<4Fw(F^NYxWdK4(JFVkXGkDO+8v8#k*cU| zmR0W7*xJIyHzX3|7clhVOZ|8iuDc98U zF&vhVbMdlO>CecVtxw>wbAPS>W2k0(6ez6lDu&-xnNPUhKSRUUxWV)xfs@7tvmu`1=ntrj|Z1(WU91wBzo16Fi(cmz)NkL 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big year for open-source work in clinical submissions in general. We saw Roche speak about shifting to an [open-source backbone for clinical trials](https://www.youtube.com/watch?v=nqJsLSLd39A). Novo Nordisk spoke publicly of an [R based submission to the FDA](https://www.youtube.com/watch?v=t33dS17QHuA). These are true marks of progress being made in R becoming a first class language for clinical reporting. - -Back in August, Nicholas Eugenio released a [blog post](https://pharmaverse.github.io/blog/posts/2023-10-10_pharmaverse_story/pharmaverse_story.html) on the history of pharmaverse. It's funny to think about the fact that only 3 years ago, the idea of cross organization collaboration on R packages and building a community around this in the clinical world was just a conversation between friends. Since then, we have a community of more than 1200 people on Slack, 350 on LinkedIn, interest from over 150 organizations, and over 30 packages. If 2020 through 2022 was the birth of Pharmaverse, 2023 was finding our identity as a community. For the council, 2024 will be about continuing to mature and find more ways that we can continue to support the community. - -## What We Accomplished - -One of our biggest moves in 2023 was to form our partnership with [PHUSE](https://phuse.global/PHUSE_Open_Source_Technology). This latched us into an existing community with shared values and a platform that helps us continue to build the pharmaverse community. At the [PHUSE EU Connect](https://www.phuse-events.org/attend/frontend/reg/thome.csp?pageID=11403&eventID=19&traceRedir=2) we had our first opportunity to host a pharmaverse meetup and bring together pharmaverse contributors in person. Additionally, there was an excellent panel session highlighting our use and adoption of open-source across industry, including the pharmaceutical, commercial, and software perspectives. As we move forward, we'll continue to use this platform to find ways we can host events and encourage collaboration within the pharmaverse community. - -This year our community was also able to launch new platforms to share updates and knowledge throughout the industry. The [pharmaverse examples](https://pharmaverse.github.io/examples/) webpage was launched to show pharmaverse packages in action, and the [pharmaverse blog](https://pharmaverse.github.io/blog/) (which I'm using right here!) provides a platform to share updates and community news. - -## Where Next? - -Back in October, I had the opportunity to do an interview with Michael Rimler for the [PHUSE video series](https://youtu.be/F3vehIoJgdA?si=80p0pKobZqjlXChj) Open Source Technologies in Clinical Data Analytics. The last question he asked me was what I expect the state of data analytics in life science to be in 2 to 3 years. My response was that when that time comes, I hope I couldn't have predicted where we would be - because back in 2020 I could never have predicted where we are now. The progress we've made is unbelievable, and the pharmaverse community has played a huge role in getting us where we are today. For the pharmaverse community, I hope to see that progress continue as we move into next year. As a council, our goal is to continue to mature this community. How can we support and foster collaboration between our organizations? How can we leverage this platform to drive the industry forward? - -For you as an individual, there's always an opportunity to get involved - and you don't have to be a package developer to contribute. You can [join a working group](https://pharmaverse.org/contribute/wg/), write [examples](https://github.com/pharmaverse/examples), or author a [blog post](https://github.com/pharmaverse/blog). Furthermore, you can get started with the pharmaverse packages, provide feedback via issues, and advocate for their use within your own organization. The pharmaverse community doesn't exist without you, and we're happy to have you all here to help us build this together. - -## P.S. - -At PHUSE US Connect 2024 this coming February, be on the lookout for one of the keynote presentations from Michael Rimler and Ross Farrugia! We hope to see you there! - -Here's to a 2024 full of progress and collaboration! - - - -```{r, echo=FALSE} -source("appendix.R") -insert_appendix( - repo_spec = "pharmaverse/blog", - name = long_slug -) -``` diff --git a/posts/2023-12-21_end_of__year__up.../pharmaverse.png b/posts/2023-12-21_end_of__year__up.../pharmaverse.png deleted file mode 100644 index 0d7fc797c590be7d0c604d20dde5c0dcda36e1ae..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 21533 zcmce+b8w_zw=mkVtw}PmZBA_4nb=l`6Whkbo|qHc#)K2woY=|N^LyX-obQiQ=T_ZY zb-Sypc0bQv*lVx7_ELnBf+P|=9y|a5K$4acQvm?L=>Ps;p+QePePUe!0C-U=QBfsn zQBh(?X9sgDTQdN_V+<~k<@Za+Vbx zKN>n^!a;#GfJY^Sk9UbEPEl%Lw9_9POKJ;}81-Ph&jM-?0Qdvp>ER2k6?_G&aR7h= z92XeL(TBG`g4&cQH37s4fGtw=Lj?-NY&h z?%xRoaEsN7M-egv_@|4|PXLIy!2zO#7?Tjhau9jUv)x-|296;uQec3d@s!Cl*;zKs zmXu$3?$>{|c1U*mZ0kgfaA;7?;r2+g(lW^~qz)nErVs%Dyr-GocW%M>!-Ku;1M@@M z%iF<%cbh*Bqyi*Yo9`Xb;E(`Rh3U%`gZ=$Q2*+WtTGwuyGF`xm2EcOjNsnz6E>8#k 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zR35nB;gzJR^x~bvf(|<;M-uOGVJ~mJe!fCt(ibS2d7+a?$M6BC2NAeV<5XFcx+9TD zn$pn)Kg>Nm6zDZI64~4Fh7r88%Whg8K!go-Ng*d!{}}AiwL{<0Ewnqr?Hd|GWyzt# z!y6#>(8GtHQg?Z0r-^x4fD{f|!X@+PuOTk{>I{YL*xK0<+M~Xp7+xlxwUeC4tw7b* zq_xbofAKMMm7qER4K!Liv-txn0%y|A;qWXLGS$w%ydw%(#IK?*1bA;rQP-6lunSg{ zz>gFAaIUZXqWa5R_d12+l=FgIwbQ4!(_~Toit7O2#Wb_o?1q*WHy{0>u~HX2 zh>J54V43#8c9L&4u1P!N_xQ&{3es+)_I(=iV_Cgr(TY?rlLWepLfJm-;+}=w&p3H? zndBy>+19+_K16u>*%gZgouElZ#lZ?ndz>MPoLP^mdLuCubOFpG$=P#7+wuFiniFZF zqLqd!(WX!wo$kaM{l~F%#8lgV+B2@9WI2=nn~$ zCX7W5H*|r!U9ZVO$EXh~efcBG!$6IUKiAXH5yuA`=doPmAuqT_O$*OvPc6!Hk3Koq z;b-e2oC910GT7bs+>E|9iS4a+fp7I3XlR4%JA2gazp1aaF*@b^nug@HE-N<5`6nf-}=+oN=#wj9qxc=Jv*DaHpw!3qU>i@GU5d%oVe@-Pw`A8k!!ZKLnf9@58 zC$~ox?ED--Y+OT}b=A7m?k#OLLkXM^|L`Z`4`4u$CHx&YdR)Z&fgmP(p%+JK1Sqnw veb`vt_ELiCK4l Date: Fri, 26 Jan 2024 13:20:52 -0600 Subject: [PATCH 5/9] Closes #94 PK Examples post (#99) * #94 PK Examples post * #94 run styler --------- Co-authored-by: Jeffrey Dickinson --- inst/WORDLIST.txt | 60 +++++- posts/2023-12-20_p_k__examples/appendix.R | 78 +++++++ .../p_k__examples.qmd | 196 ++++++++++++++++++ .../2023-12-20_p_k__examples/pharmaverse.png | Bin 0 -> 21533 bytes posts/2023-12-20_p_k__examples/pk_spec.xlsx | Bin 0 -> 40884 bytes 5 files changed, 333 insertions(+), 1 deletion(-) create mode 100644 posts/2023-12-20_p_k__examples/appendix.R create mode 100644 posts/2023-12-20_p_k__examples/p_k__examples.qmd create mode 100644 posts/2023-12-20_p_k__examples/pharmaverse.png create mode 100644 posts/2023-12-20_p_k__examples/pk_spec.xlsx diff --git a/inst/WORDLIST.txt b/inst/WORDLIST.txt index db8fcd2e..0021a959 100644 --- a/inst/WORDLIST.txt +++ b/inst/WORDLIST.txt @@ -500,6 +500,64 @@ VSDY VSORRES VSSEQ VSTESTCD +adnca +adppk +ADPPK +AETHNIC +AETHNICN +ARMCD +BILI +BILIBL +bmi +BMIBL +bsa +BSABL +CKD +codelist +COHORTC +COUNTRYL +COUNTRYN +covar +CRCL +CRCLBL +creat +CREAT +CREATBL +creatu +egfr +EGFRBL +EPI +EXDOSFRM +EXROUTE +FORMN +HTBL +labsbl +LBBLFL +LBSTRESN +LBTESTCD +LBTESTCDB +metatools +Mosteller +pc +pharmacokinetic +pharmaverseadam +poppk +preconfigured +RACEN +ROUTEN +SEXN +SITEIDN +STUDYIDN +SUBJID +SUBJIDN +SUBJTYP +SUBJTYPC +TBILBL +USUBJIDN +VSBLFL +vslb +VSSTRESN +WTBL analytics Analytics csp @@ -514,7 +572,7 @@ traceRedir pKobZqjlXChj si vehIoJgdA -youtuABLFL +ABLFL admiraldisc admiraldiscovery advs diff --git a/posts/2023-12-20_p_k__examples/appendix.R b/posts/2023-12-20_p_k__examples/appendix.R new file mode 100644 index 00000000..ece5203f --- /dev/null +++ b/posts/2023-12-20_p_k__examples/appendix.R @@ -0,0 +1,78 @@ +# markdown helpers -------------------------------------------------------- + +markdown_appendix <- function(name, content) { + paste(paste("##", name, "{.appendix}"), " ", content, sep = "\n") +} +markdown_link <- function(text, path) { + paste0("[", text, "](", path, ")") +} + + + +# worker functions -------------------------------------------------------- + +insert_source <- function(repo_spec, name, + collection = "posts", + branch = "main", + host = "https://github.com", + text = "source code") { + path <- paste( + host, + repo_spec, + "tree", + branch, + collection, + name, + "code_sections.qmd", + sep = "/" + ) + return(markdown_link(text, path)) +} + +insert_timestamp <- function(tzone = Sys.timezone()) { + time <- lubridate::now(tzone = tzone) + stamp <- as.character(time, tz = tzone, usetz = TRUE) + return(stamp) +} + +insert_lockfile <- function(repo_spec, name, + collection = "posts", + branch = "main", + host = "https://github.com", + text = "R environment") { + path <- paste( + host, + repo_spec, + "tree", + branch, + collection, + name, + "renv.lock", + sep = "/" + ) + return(markdown_link(text, path)) +} + + + +# top level function ------------------------------------------------------ + +insert_appendix <- function(repo_spec, name, collection = "posts") { + appendices <- paste( + markdown_appendix( + name = "Last updated", + content = insert_timestamp() + ), + " ", + markdown_appendix( + name = "Details", + content = paste( + insert_source(repo_spec, name, collection), + insert_lockfile(repo_spec, name, collection), + sep = ", " + ) + ), + sep = "\n" + ) + knitr::asis_output(appendices) +} diff --git a/posts/2023-12-20_p_k__examples/p_k__examples.qmd b/posts/2023-12-20_p_k__examples/p_k__examples.qmd new file mode 100644 index 00000000..8184a085 --- /dev/null +++ b/posts/2023-12-20_p_k__examples/p_k__examples.qmd @@ -0,0 +1,196 @@ +--- +title: "PK Examples" +author: + - name: Jeff Dickinson +description: "Explore PK ADaM Examples on Pharmaverse Examples Page" +date: "2023-12-20" +# please do not use any non-default categories. +# You can find the default categories in the repository README.md +categories: [community, admiral, metacore, metatools, xportr] +# feel free to change the image +image: "pharmaverse.png" +--- + + + +```{r setup, include=FALSE} +long_slug <- "2023-12-20_p_k__examples" +# renv::use(lockfile = "renv.lock") +``` + + + +# Pharmaverse PK Examples + +A new [pharmaverse examples website](https://pharmaverse.github.io/examples){target="_blank"} has some exciting new features to explore. + +One of these is the ability to launch Posit Cloud to explore the example code and make your own modifications. +This interactive Posit Cloud environment is preconfigured with all required package installations. +Click here: [Launch Posit Cloud](https://posit.cloud/content/7279124){target="_blank"} to explore the examples code. + +This sample code here is based on the Population PK Analysis Data (ADPPK) model which follows the recently released [CDISC Implementation Guide](https://www.cdisc.org/standards/foundational/adam/basic-data-structure-adam-poppk-implementation-guide-v1-0){target="_blank"}. + +Population PK models generally make use of nonlinear mixed effects models that require numeric variables. +The data used in the models will include both dosing and concentration records, relative time variables, and numeric covariate variables. +For more details see the `{admiral}` [vignette](https://pharmaverse.github.io/admiral/articles/pk_adnca.html){target="_blank"}. + +## First Load Packages + +First we will load the packages required for our project. +We will use `{admiral}` for the creation of analysis data. +`{admiral}` requires `{dplyr}`, `{lubridate}` and `{stringr}`. +We will use `{metacore}` and `{metatools}` to store and manipulate metadata from our specifications. +We will use `{xportr}` to perform checks on the final data and export to a transport file. + +The source SDTM data will come from the CDISC pilot study data stored in `{pharmaversesdtm}` and the ADaM ADSL data will come from `{pharmaverseadam}`. + +```{r echo=TRUE, message=FALSE} +#| label: Load Packages +# Load Packages +library(admiral) +library(dplyr) +library(lubridate) +library(stringr) +library(metacore) +library(metatools) +library(xportr) +library(readr) +library(pharmaversesdtm) +library(pharmaverseadam) +``` + +## Next Load Specifications for Metacore + +We have saved our specifications in an Excel file and will load them into `{metacore}` with the `metacore::spec_to_metacore()` function. + +```{r echo=TRUE, message=FALSE} +#| label: Load Specs +#| warning: false +# ---- Load Specs for Metacore ---- +metacore <- spec_to_metacore("pk_spec.xlsx") %>% + select_dataset("ADPPK") +``` + +## Load Source Datasets + +We will load our SDTM data from `{pharmaversesdtm}`. +The main components of the Population PK will be exposure data from `EX` and pharmacokinetic concentration data from `PC`. +Here we will use `ADSL` from `{pharmaverseadam}` for baseline characteristics and we will derive additional baselines from vital signs `VS` and laboratory data `LB`. + +```{r} +#| label: Load Source +# ---- Load source datasets ---- +# Load PC, EX, VS, LB and ADSL +data("pc") +data("ex") +data("vs") +data("lb") +data("adsl") + +ex <- convert_blanks_to_na(ex) +pc <- convert_blanks_to_na(pc) +vs <- convert_blanks_to_na(vs) +lb <- convert_blanks_to_na(lb) +``` + +## Derive Covariates Using `{metatools}` + +In this step we will create our numeric covariates using the `metatools::create_var_from_codelist()` function. + +```{r} +#| label: Covariates +#---- Derive Covariates ---- +# Include numeric values for STUDYIDN, USUBJIDN, SEXN, RACEN etc. + +covar <- adsl %>% + create_var_from_codelist(metacore, input_var = STUDYID, out_var = STUDYIDN) %>% + create_var_from_codelist(metacore, input_var = SEX, out_var = SEXN) %>% + create_var_from_codelist(metacore, input_var = RACE, out_var = RACEN) %>% + create_var_from_codelist(metacore, input_var = ETHNIC, out_var = AETHNIC) %>% + create_var_from_codelist(metacore, input_var = AETHNIC, out_var = AETHNICN) %>% + create_var_from_codelist(metacore, input_var = ARMCD, out_var = COHORT) %>% + create_var_from_codelist(metacore, input_var = ARMCD, out_var = COHORTC) %>% + create_var_from_codelist(metacore, input_var = COUNTRY, out_var = COUNTRYN) %>% + create_var_from_codelist(metacore, input_var = COUNTRY, out_var = COUNTRYL) %>% + mutate( + STUDYIDN = as.numeric(word(USUBJID, 1, sep = fixed("-"))), + SITEIDN = as.numeric(word(USUBJID, 2, sep = fixed("-"))), + USUBJIDN = as.numeric(word(USUBJID, 3, sep = fixed("-"))), + SUBJIDN = as.numeric(SUBJID), + ROUTE = unique(ex$EXROUTE), + FORM = unique(ex$EXDOSFRM), + REGION1 = COUNTRY, + REGION1N = COUNTRYN, + SUBJTYPC = "Volunteer", + ) %>% + create_var_from_codelist(metacore, input_var = FORM, out_var = FORMN) %>% + create_var_from_codelist(metacore, input_var = ROUTE, out_var = ROUTEN) %>% + create_var_from_codelist(metacore, input_var = SUBJTYPC, out_var = SUBJTYP) +``` + +### Derive Additional Baselines + +Next we add additional baselines from vital signs and laboratory data. +Several common variables are computed using some of the built in functions in `{admiral}`. + +```{r} +#| label: Baselines + +labsbl <- lb %>% + filter(LBBLFL == "Y" & LBTESTCD %in% c("CREAT", "ALT", "AST", "BILI")) %>% + mutate(LBTESTCDB = paste0(LBTESTCD, "BL")) %>% + select(STUDYID, USUBJID, LBTESTCDB, LBSTRESN) + +covar_vslb <- covar %>% + derive_vars_merged( + dataset_add = vs, + filter_add = VSTESTCD == "HEIGHT", + by_vars = exprs(STUDYID, USUBJID), + new_vars = exprs(HTBL = VSSTRESN) + ) %>% + derive_vars_merged( + dataset_add = vs, + filter_add = VSTESTCD == "WEIGHT" & VSBLFL == "Y", + by_vars = exprs(STUDYID, USUBJID), + new_vars = exprs(WTBL = VSSTRESN) + ) %>% + derive_vars_transposed( + dataset_merge = labsbl, + by_vars = exprs(STUDYID, USUBJID), + key_var = LBTESTCDB, + value_var = LBSTRESN + ) %>% + mutate( + BMIBL = compute_bmi(height = HTBL, weight = WTBL), + BSABL = compute_bsa( + height = HTBL, + weight = HTBL, + method = "Mosteller" + ), + CRCLBL = compute_egfr( + creat = CREATBL, creatu = "SI", age = AGE, weight = WTBL, sex = SEX, + method = "CRCL" + ), + EGFRBL = compute_egfr( + creat = CREATBL, creatu = "SI", age = AGE, weight = WTBL, sex = SEX, + method = "CKD-EPI" 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zJE-X{6_%z0`ek=AFT~o2xv%8=J3O@C^w_>;hG(j7OQ5MCD~~ItmNgkSthVM>gcI#r zSpgf`-DsDo6$X7+yOH(LWQX!iG{I1mE7UC6|l zL1BTP4=A$ISThb;nLr7w$UN%?=&bClG#V_31{%g<#Cx=%p6^4R$;>mH5P(yUSzCWE z9}g!lFOQkNd2-$`qaU|JU1dYP&*a!hI|h9wD216z0G((~%;3aB#%;p0wN9SP*xN8mq<}daUa}-J&DkuG6=?|KNIU)jh77h3RD~mM{3a&p8=$6=D zfx@d15c=<)Zol#?P&l^*q4U!<#7`8ekUA%N-;*~B{6c6NnGp}dpoXAVMTs+a{{Tik Bc;Em4 literal 0 HcmV?d00001 From 09ca262b1ab470a505e09a5740f39da10d1475ce Mon Sep 17 00:00:00 2001 From: Ben Straub Date: Fri, 26 Jan 2024 14:36:05 -0500 Subject: [PATCH 6/9] Closes #94 pk examples (#107) * #94 PK Examples post * #94 run styler * chore: #94 adding metacore to build action * chore: #94 date change --------- Co-authored-by: Jeffrey Dickinson Co-authored-by: Jeff Dickinson --- .github/workflows/publish.yml | 1 + posts/2023-12-20_p_k__examples/p_k__examples.qmd | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 2a0bb923..03071bdd 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -36,6 +36,7 @@ jobs: here reactable pharmaversesdtm + metacore - name: Install tinytex diff --git a/posts/2023-12-20_p_k__examples/p_k__examples.qmd b/posts/2023-12-20_p_k__examples/p_k__examples.qmd index 8184a085..ef89cb96 100644 --- a/posts/2023-12-20_p_k__examples/p_k__examples.qmd +++ b/posts/2023-12-20_p_k__examples/p_k__examples.qmd @@ -3,7 +3,7 @@ title: "PK Examples" author: - name: Jeff Dickinson description: "Explore PK ADaM Examples on Pharmaverse Examples Page" -date: "2023-12-20" +date: "2024-01-26" # please do not use any non-default categories. # You can find the default categories in the repository README.md categories: [community, admiral, metacore, metatools, xportr] From 8c71b653a319a01b7df31b1c339acb4c1b96ef68 Mon Sep 17 00:00:00 2001 From: Ben Straub Date: Fri, 26 Jan 2024 15:20:05 -0500 Subject: [PATCH 7/9] living dangerously --- .github/workflows/publish.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 03071bdd..f80eeef5 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -37,6 +37,7 @@ jobs: reactable pharmaversesdtm metacore + metatools - name: Install tinytex From 555f0b61f944d18fdaf20dcda61cb9d048fe5ea7 Mon Sep 17 00:00:00 2001 From: Ben Straub Date: Fri, 26 Jan 2024 15:28:14 -0500 Subject: [PATCH 8/9] living even more dangerously --- .github/workflows/publish.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index f80eeef5..75e8f10f 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -38,6 +38,7 @@ jobs: pharmaversesdtm metacore metatools + xportr - name: Install tinytex From ee8f6512606c2fab9702bbade3ca54bdf0eec0e9 Mon Sep 17 00:00:00 2001 From: Ben Straub Date: Fri, 26 Jan 2024 15:35:51 -0500 Subject: [PATCH 9/9] Update publish.yml --- .github/workflows/publish.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 75e8f10f..d1bd963b 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -39,6 +39,7 @@ jobs: metacore metatools xportr + pharmaverseadam - name: Install tinytex

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