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allows not splitting data

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Andreas Gammelgaard Damsbo 2025-03-05 13:40:56 +01:00
parent 2e1e7822a4
commit 0b5319f647
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1 changed files with 37 additions and 32 deletions
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59
R/read_redcap_tables.R
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@ -26,7 +26,7 @@
#' \link[REDCapCAST]{fct_drop} to drop empty levels.
#'
#' @param split_forms Whether to split "repeating" or "all" forms, default is
#' all.
#' all. Give "none" to export native semi-long REDCap format
#' @param ... passed on to \link[REDCapR]{redcap_read}
#'
#' @return list of instruments
@ -42,22 +42,24 @@ read_redcap_tables <- function(uri,
fields = NULL,
events = NULL,
forms = NULL,
raw_or_label = c("raw","label","both"),
split_forms = "all",
raw_or_label = c("raw", "label", "both"),
split_forms = c("all", "repeating", "none"),
...) {
raw_or_label <- match.arg(raw_or_label, c("raw","label","both"))
raw_or_label <- match.arg(raw_or_label, c("raw", "label", "both"))
split_forms <- match.arg(split_forms)
# Getting metadata
m <-
REDCapR::redcap_metadata_read(redcap_uri = uri, token = token)[["data"]]
if (!is.null(fields)) {
fields_test <- fields %in% c(m$field_name,paste0(unique(m$form_name),"_complete"))
fields_test <- fields %in% c(m$field_name, paste0(unique(m$form_name), "_complete"))
if (any(!fields_test)) {
print(paste0("The following field names are invalid: ",
paste(fields[!fields_test], collapse = ", "), "."))
print(paste0(
"The following field names are invalid: ",
paste(fields[!fields_test], collapse = ", "), "."
))
stop("Not all supplied field names are valid")
}
}
@ -67,8 +69,10 @@ read_redcap_tables <- function(uri,
forms_test <- forms %in% unique(m$form_name)
if (any(!forms_test)) {
print(paste0("The following form names are invalid: ",
paste(forms[!forms_test], collapse = ", "), "."))
print(paste0(
"The following form names are invalid: ",
paste(forms[!forms_test], collapse = ", "), "."
))
stop("Not all supplied form names are valid")
}
}
@ -82,13 +86,15 @@ read_redcap_tables <- function(uri,
event_test <- events %in% unique(arm_event_inst$data$unique_event_name)
if (any(!event_test)) {
print(paste0("The following event names are invalid: ",
paste(events[!event_test], collapse = ", "), "."))
print(paste0(
"The following event names are invalid: ",
paste(events[!event_test], collapse = ", "), "."
))
stop("Not all supplied event names are valid")
}
}
if (raw_or_label=="both"){
if (raw_or_label == "both") {
rorl <- "raw"
} else {
rorl <- raw_or_label
@ -106,10 +112,10 @@ read_redcap_tables <- function(uri,
...
)[["data"]]
if (raw_or_label=="both"){
d <- apply_field_label(data=d,meta=m)
if (raw_or_label == "both") {
d <- apply_field_label(data = d, meta = m)
d <- apply_factor_labels(data=d,meta=m)
d <- apply_factor_labels(data = d, meta = m)
}
@ -123,15 +129,16 @@ read_redcap_tables <- function(uri,
# Processing metadata to reflect focused dataset
m <- focused_metadata(m, names(d))
# Splitting
out <- REDCap_split(d,
if (split_forms != "none") {
REDCap_split(d,
m,
forms = split_forms,
primary_table_name = ""
)
sanitize_split(out)
) |> sanitize_split()
} else {
d
}
}
@ -171,7 +178,7 @@ clean_field_label <- function(data) {
#' @export
#'
#' @examples
#' format_redcap_factor(sample(1:3,20,TRUE),"1, First. | 2, second | 3, THIRD")
#' format_redcap_factor(sample(1:3, 20, TRUE), "1, First. | 2, second | 3, THIRD")
format_redcap_factor <- function(data, meta) {
lvls <- strsplit(meta, " | ", fixed = TRUE) |>
unlist() |>
@ -196,7 +203,7 @@ format_redcap_factor <- function(data, meta) {
#' @return data.frame
#' @export
#'
apply_field_label <- function(data,meta){
apply_field_label <- function(data, meta) {
purrr::imap(data, \(.x, .i){
if (.i %in% meta$field_name) {
# Does not handle checkboxes
@ -219,8 +226,8 @@ apply_field_label <- function(data,meta){
#' @return data.frame
#' @export
#'
apply_factor_labels <- function(data,meta=NULL){
if (is.list(data) && !is.data.frame(data)){
apply_factor_labels <- function(data, meta = NULL) {
if (is.list(data) && !is.data.frame(data)) {
meta <- data$meta
data <- data$data
} else if (is.null(meta)) {
@ -234,5 +241,3 @@ apply_factor_labels <- function(data,meta=NULL){
}
}) |> dplyr::bind_cols()
}