REDCapCAST/R/read_redcap_tables.R

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#' Download REDCap data
#'
#' Implementation of REDCap_split with a focused data acquisition approach using
#' REDCapR::redcap_read and only downloading specified fields, forms and/or
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#' events using the built-in focused_metadata including some clean-up.
#' Works with classical and longitudinal projects with or without repeating
#' instruments.
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#' @param uri REDCap database API uri
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#' @param token API token
#' @param records records to download
#' @param fields fields to download
#' @param events events to download
#' @param forms forms to download
#' @param raw_or_label raw or label tags
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#' @param split_forms Whether to split "repeating" or "all" forms, default is
#' all.
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#'
#' @return list of instruments
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#' @importFrom REDCapR redcap_metadata_read redcap_read redcap_event_instruments
#' @include utils.r
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#' @export
#'
#' @examples
#' # Examples will be provided later
read_redcap_tables <- function(uri,
token,
records = NULL,
fields = NULL,
events = NULL,
forms = NULL,
raw_or_label = "label",
split_forms = "all") {
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# Getting metadata
m <-
REDCapR::redcap_metadata_read(redcap_uri = uri, token = token)[["data"]]
if (!is.null(fields)) {
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fields_test <- fields %in% c(m$field_name,paste(unique(m$form_name),"_complete"))
if (any(!fields_test)) {
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print(paste0("The following field names are invalid: ",
paste(fields[!fields_test], collapse = ", "), "."))
stop("Not all supplied field names are valid")
}
}
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if (!is.null(forms)) {
forms_test <- forms %in% unique(m$form_name)
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if (any(!forms_test)) {
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print(paste0("The following form names are invalid: ",
paste(forms[!forms_test], collapse = ", "), "."))
stop("Not all supplied form names are valid")
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}
}
if (!is.null(events)) {
arm_event_inst <- REDCapR::redcap_event_instruments(
redcap_uri = uri,
token = token
)
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event_test <- events %in% unique(arm_event_inst$data$unique_event_name)
if (any(!event_test)) {
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print(paste0("The following event names are invalid: ",
paste(events[!event_test], collapse = ", "), "."))
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stop("Not all supplied event names are valid")
}
}
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# Getting dataset
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d <- REDCapR::redcap_read(
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redcap_uri = uri,
token = token,
fields = fields,
events = events,
forms = forms,
records = records,
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raw_or_label = raw_or_label
)[["data"]]
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# Process repeat instrument naming
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# Removes any extra characters other than a-z, 0-9 and "_", to mimic raw
# instrument names.
if ("redcap_repeat_instrument" %in% names(d)) {
d$redcap_repeat_instrument <- clean_redcap_name(d$redcap_repeat_instrument)
}
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# Processing metadata to reflect focused dataset
m <- focused_metadata(m, names(d))
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# Splitting
out <- REDCap_split(d,
m,
forms = split_forms,
primary_table_name = ""
)
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sanitize_split(out)
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}