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New function to export redcap data with labels
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164
R/easy_redcap.R
164
R/easy_redcap.R
@ -40,3 +40,167 @@ easy_redcap <- function(project.name, widen.data = TRUE, uri, ...) {
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out
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}
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#' REDCap read function to preserve field labels and all factor levels
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#'
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#' @description
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#' This works very much as `read_redcap_tables()` and might end up there
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#'
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#'
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#' @param uri REDCap database API uri
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#' @param token API token
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#' @param records records to download
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#' @param fields fields to download
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#' @param events events to download
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#' @param forms forms to download
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#' @param split_forms Whether to split "repeating" or "all" forms, default is
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#' "all".
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#'
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#' @return data.frame or list
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#' @export
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#'
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read_redcap_labelled <- function(uri,
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token,
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records = NULL,
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fields = NULL,
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events = NULL,
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forms = NULL,
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split_forms = "all") {
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m <-
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REDCapR::redcap_metadata_read(redcap_uri = uri, token = token)[["data"]]
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# Tests
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if (!is.null(fields)) {
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fields_test <- fields %in% c(m$field_name, paste0(unique(m$form_name), "_complete"))
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if (any(!fields_test)) {
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print(paste0(
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"The following field names are invalid: ",
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paste(fields[!fields_test], collapse = ", "), "."
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))
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stop("Not all supplied field names are valid")
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}
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}
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if (!is.null(forms)) {
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forms_test <- forms %in% unique(m$form_name)
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if (any(!forms_test)) {
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print(paste0(
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"The following form names are invalid: ",
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paste(forms[!forms_test], collapse = ", "), "."
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))
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stop("Not all supplied form names are valid")
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}
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}
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if (!is.null(events)) {
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arm_event_inst <- REDCapR::redcap_event_instruments(
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redcap_uri = uri,
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token = token
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)
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event_test <- events %in% unique(arm_event_inst$data$unique_event_name)
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if (any(!event_test)) {
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print(paste0(
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"The following event names are invalid: ",
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paste(events[!event_test], collapse = ", "), "."
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))
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stop("Not all supplied event names are valid")
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}
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}
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# Getting dataset
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d <- REDCapR::redcap_read(
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redcap_uri = uri,
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token = token,
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fields = fields,
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events = events,
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forms = forms,
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records = records,
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raw_or_label = "raw"
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)[["data"]]
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# Applying labels
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d <- purrr::imap(d, \(.x, .i){
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if (.i %in% m$field_name) {
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# Does not handle checkboxes
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out <- set_attr(.x,
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label = clean_field_label(m$field_label[m$field_name == .i]),
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attr = "label"
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)
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out
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} else {
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.x
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}
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}) |> dplyr::bind_cols()
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d <- purrr::imap(d, \(.x, .i){
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if (any(c("radio", "dropdown") %in% m$field_type[m$field_name == .i])) {
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format_redcap_factor(.x, m$select_choices_or_calculations[m$field_name == .i])
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} else {
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.x
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}
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}) |> dplyr::bind_cols()
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# Process repeat instrument naming
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# Removes any extra characters other than a-z, 0-9 and "_", to mimic raw
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# instrument names.
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if ("redcap_repeat_instrument" %in% names(d)) {
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d$redcap_repeat_instrument <- clean_redcap_name(d$redcap_repeat_instrument)
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}
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# Processing metadata to reflect focused dataset
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m <- focused_metadata(m, names(d))
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# Splitting
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out <- REDCap_split(d,
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m,
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forms = split_forms,
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primary_table_name = ""
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)
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sanitize_split(out)
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}
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#' Very simple function to remove rich text formatting from field label
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#' and save the first paragraph ('<p>...</p>').
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#'
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#' @param data field label
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#'
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#' @return character vector
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#' @export
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#'
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#' @examples
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#' clean_field_label("<div class=\"rich-text-field-label\"><p>Fazekas score</p></div>")
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clean_field_label <- function(data) {
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out <- data |>
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lapply(\(.x){
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unlist(strsplit(.x, "</"))[1]
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}) |>
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lapply(\(.x){
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splt <- unlist(strsplit(.x, ">"))
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splt[length(splt)]
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})
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Reduce(c, out)
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}
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format_redcap_factor <- function(data, meta) {
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lvls <- strsplit(meta, " | ", fixed = TRUE) |>
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unlist() |>
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lapply(\(.x){
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splt <- unlist(strsplit(.x, ", "))
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stats::setNames(splt[1], nm = paste(splt[-1], collapse = ", "))
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}) |>
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(\(.x){
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Reduce(c, .x)
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})()
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set_attr(data, label = lvls, attr = "labels") |>
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set_attr(data, label = "labelled", attr = "class") |>
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as_factor()
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}
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@ -4,7 +4,7 @@
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\name{REDCapCAST-package}
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\alias{REDCapCAST}
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\alias{REDCapCAST-package}
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\title{REDCapCAST: REDCap Castellated Data Handling and Metadata Casting}
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\title{REDCapCAST: REDCap Metadata Casting and Castellated Data Handling}
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\description{
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\if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}}
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@ -65,7 +65,8 @@ c(1, 4, 3, "A", 7, 8, 1) |> as_factor()
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structure(c(1, 2, 3, 2, 10, 9),
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labels = c(Unknown = 9, Refused = 10)
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) |>
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as_factor() |> dput()
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as_factor() |>
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dput()
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structure(c(1, 2, 3, 2, 10, 9),
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labels = c(Unknown = 9, Refused = 10),
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22
man/clean_field_label.Rd
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22
man/clean_field_label.Rd
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@ -0,0 +1,22 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/easy_redcap.R
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\name{clean_field_label}
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\alias{clean_field_label}
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\title{Very simple function to remove rich text formatting from field label
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and save the first paragraph ('<p>...</p>').}
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\usage{
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clean_field_label(data)
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}
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\arguments{
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\item{data}{field label}
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}
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\value{
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character vector
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}
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\description{
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Very simple function to remove rich text formatting from field label
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and save the first paragraph ('<p>...</p>').
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}
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\examples{
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clean_field_label("<div class=\"rich-text-field-label\"><p>Fazekas score</p></div>")
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}
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38
man/read_redcap_labelled.Rd
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38
man/read_redcap_labelled.Rd
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@ -0,0 +1,38 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/easy_redcap.R
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\name{read_redcap_labelled}
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\alias{read_redcap_labelled}
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\title{REDCap read function to preserve field labels and all factor levels}
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\usage{
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read_redcap_labelled(
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uri,
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token,
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records = NULL,
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fields = NULL,
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events = NULL,
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forms = NULL,
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split_forms = "all"
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)
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}
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\arguments{
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\item{uri}{REDCap database API uri}
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\item{token}{API token}
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\item{records}{records to download}
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\item{fields}{fields to download}
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\item{events}{events to download}
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\item{forms}{forms to download}
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\item{split_forms}{Whether to split "repeating" or "all" forms, default is
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"all".}
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}
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\value{
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data.frame or list
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}
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\description{
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This works very much as `read_redcap_tables()` and might end up there
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}
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