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I'm trying to import survey instances. The data.frame has all of the relevant data, but not the field variable names. It has the field ids instead. I notice the id_to_field_name argument defaults to NULL. I assume it can be used to retrieve the field variable names. In the source code, the id_to_field_name is a list with the indices as field ids (below is the code I'm referring to in CastorData.R, lines 421-428), but when comparing the field ids in the getSurveyInstancesBulk with the field ids in the getFields output, there's no overlap or identical field ids.
# Get survey field ids and names to later clean up the split dataframes survey_field_id <- survey_instances %>% dplyr::select(field_id, survey_name) %>% distinct() %>% rowwise() %>% mutate(field_name = id_to_field_name_[[field_id]]) %>% dplyr::select(-field_id) %>% ungroup()
I also constructed an indexed list with field ids as indices and elements as field variable names, but to no avail (code below).
I receive the error traceback below when I implement the above chunk.
Error in rename():
! All renaming inputs must be named.
Backtrace: 1. castor_api$getSurveyInstancesBulk(...) 2. dplyr::rename_at(...) 4. dplyr:::rename.data.frame(.tbl, !!!syms)
How can the field variable names be imported with the survey instances data? Is there a specific way to do so?
The text was updated successfully, but these errors were encountered:
I'm trying to import survey instances. The data.frame has all of the relevant data, but not the field variable names. It has the field ids instead. I notice the id_to_field_name argument defaults to NULL. I assume it can be used to retrieve the field variable names. In the source code, the id_to_field_name is a list with the indices as field ids (below is the code I'm referring to in CastorData.R, lines 421-428), but when comparing the field ids in the getSurveyInstancesBulk with the field ids in the getFields output, there's no overlap or identical field ids.
# Get survey field ids and names to later clean up the split dataframes survey_field_id <- survey_instances %>% dplyr::select(field_id, survey_name) %>% distinct() %>% rowwise() %>% mutate(field_name = id_to_field_name_[[field_id]]) %>% dplyr::select(-field_id) %>% ungroup()
I also constructed an indexed list with field ids as indices and elements as field variable names, but to no avail (code below).
fields <- castor_api$getFields(study_id = "study id") voi_field_ids <- fields %>% filter(grepl("Variable of Interest", field_variable_name) & (grepl("Week", field_variable_name) | grepl("Month", field_variable_name))) %>% dplyr::select(field_id, field_variable_name) voi_field_ids_list <- voi_field_ids %>% as.list() voi_id_to_fieldname <- list() for (i in 1:dim(voi_field_ids)[1]){ field_id <- voi_field_ids_list[['field_id']][i] field_variable_name <- voi_field_ids_list[['field_variable_name']][i] voi_id_to_fieldname[[field_id]] <- field_variable_name } voi_id_to_fieldname castor_api$getSurveyInstancesBulk(study_id = "study id", id_to_field_name = voi_id_to_fieldname)
I receive the error traceback below when I implement the above chunk.
How can the field variable names be imported with the survey instances data? Is there a specific way to do so?
The text was updated successfully, but these errors were encountered: