mirror of
https://github.com/agdamsbo/REDCapCAST.git
synced 2024-11-23 13:50:21 +01:00
minor adjustments and bug fixing
This commit is contained in:
parent
f094394933
commit
40d95e41c3
@ -11,6 +11,7 @@ S3method(process_user_input,data.frame)
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S3method(process_user_input,default)
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S3method(process_user_input,response)
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export(REDCap_split)
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export(all_na)
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export(as_factor)
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export(case_match_regex_list)
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export(cast_data_overview)
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@ -18,6 +19,7 @@ export(cast_meta_overview)
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export(char2choice)
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export(char2cond)
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export(clean_redcap_name)
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export(compact_vec)
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export(create_html_table)
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export(create_instrument_meta)
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export(d2w)
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@ -42,6 +44,7 @@ export(named_levels)
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export(nav_bar_page)
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export(numchar2fct)
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export(parse_data)
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export(possibly_roman)
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export(process_user_input)
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export(read_input)
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export(read_redcap_instrument)
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@ -53,6 +56,7 @@ export(shiny_cast)
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export(split_non_repeating_forms)
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export(strsplitx)
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export(var2fct)
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export(vec2choice)
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importFrom(REDCapR,redcap_event_instruments)
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importFrom(REDCapR,redcap_metadata_read)
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importFrom(REDCapR,redcap_read)
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@ -56,13 +56,14 @@ as_factor.numeric <- function(x, ...) {
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#' @export
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as_factor.character <- function(x, ...) {
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labels <- get_attr(x)
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if (is.roman(x)){
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if (possibly_roman(x)){
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x <- factor(x)
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} else {
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x <- structure(
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forcats::fct_inorder(x),
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label = attr(x, "label", exact = TRUE)
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)}
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)
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}
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set_attr(x, labels, overwrite = FALSE)
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}
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@ -201,11 +202,19 @@ named_levels <- function(data, label = "labels", na.label = NULL, na.value = 99)
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)
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}
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# Handle empty factors
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if (all_na(data)){
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d <- data.frame(
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name = levels(data),
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value = seq_along(levels(data))
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)
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} else {
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d <- data.frame(
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name = levels(data)[data],
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value = as.numeric(data)
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) |>
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unique()
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}
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## Applying labels
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attr_l <- attr(x = data, which = label, exact = TRUE)
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@ -227,8 +236,21 @@ named_levels <- function(data, label = "labels", na.label = NULL, na.value = 99)
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out
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}
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is.roman <- function(data){
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identical(data,as.character(utils::as.roman(data)))
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#' Test if vector can be interpreted as roman numerals
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#'
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#' @param data character vector
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#'
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#' @return logical
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#' @export
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#'
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#' @examples
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#' sample(1:100,10) |> as.roman() |> possibly_roman()
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#' sample(c(TRUE,FALSE),10,TRUE)|> possibly_roman()
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#' rep(NA,10)|> possibly_roman()
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possibly_roman <- function(data){
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# browser()
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if (all(is.na(data))) return(FALSE)
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identical(as.character(data),as.character(utils::as.roman(data)))
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}
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@ -141,10 +141,15 @@ hms2character <- function(data) {
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#' @export
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#'
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#' @examples
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#' \dontrun{
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#' data <- REDCapCAST::redcapcast_data
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#' data |> ds2dd_detailed()
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#' ## Basic parsing with default options
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#' REDCapCAST::redcapcast_data |>
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#' dplyr::select(-dplyr::starts_with("redcap_")) |>
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#' ds2dd_detailed()
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#'
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#' ## Adding a record_id field
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#' iris |> ds2dd_detailed(add.auto.id = TRUE)
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#'
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#' ## Passing form name information to function
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#' iris |>
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#' ds2dd_detailed(
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#' add.auto.id = TRUE,
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@ -152,13 +157,14 @@ hms2character <- function(data) {
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#' ) |>
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#' purrr::pluck("meta")
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#' mtcars |> ds2dd_detailed(add.auto.id = TRUE)
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#'
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#' ## Using column name suffix to carry form name
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#' data <- iris |>
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#' ds2dd_detailed(add.auto.id = TRUE) |>
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#' purrr::pluck("data")
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#' names(data) <- glue::glue("{sample(x = c('a','b'),size = length(names(data)),
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#' replace=TRUE,prob = rep(x=.5,2))}__{names(data)}")
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#' data |> ds2dd_detailed(form.sep = "__")
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#' }
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ds2dd_detailed <- function(data,
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add.auto.id = FALSE,
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date.format = "dmy",
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@ -171,24 +177,18 @@ ds2dd_detailed <- function(data,
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field.validation = NULL,
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metadata = names(REDCapCAST::redcapcast_meta),
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convert.logicals = TRUE) {
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# Repair empty columns
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# These where sometimes classed as factors or
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# if (any(sapply(data,all_na))){
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# data <- data |>
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# ## Converts logical to factor, which overwrites attributes
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# dplyr::mutate(dplyr::across(dplyr::where(all_na), as.character))
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# }
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if (convert.logicals) {
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# Labels/attributes are saved
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# labels <- lapply(data, \(.x){
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# get_attr(.x, attr = NULL)
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# })
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data <- data |>
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## Converts logical to factor, which overwrites attributes
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dplyr::mutate(dplyr::across(dplyr::where(is.logical), as_factor))
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# Old attributes are appended
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# data <- purrr::imap(no_attr,\(.x,.i){
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# attributes(.x) <- c(attributes(.x),labels[[.i]])
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# .x
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# }) |>
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# dplyr::bind_cols()
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}
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## Handles the odd case of no id column present
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@ -197,9 +197,6 @@ ds2dd_detailed <- function(data,
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record_id = seq_len(nrow(data)),
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data
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)
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# set_attr(data$record_id,label="ID",attr="label")
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message("A default id column has been added")
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}
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## ---------------------------------------
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@ -227,6 +224,9 @@ ds2dd_detailed <- function(data,
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dd$form_name <- clean_redcap_name(Reduce(c, lapply(parts, \(.x) .x[[length(.x)]])))
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dd$field_name <- Reduce(c, lapply(parts, \(.x) paste(.x[seq_len(length(.x) - 1)], collapse = form.sep)))
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}
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## To preserve original
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colnames(data) <- dd$field_name
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dd$field_name <- tolower(dd$field_name)
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} else {
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dd$form_name <- "data"
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dd$field_name <- gsub(" ", "_", tolower(colnames(data)))
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@ -251,14 +251,20 @@ ds2dd_detailed <- function(data,
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if (is.null(field.label)) {
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dd$field_label <- data |>
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sapply(function(x) {
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get_attr(x, attr = field.label.attr)
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get_attr(x, attr = field.label.attr) |>
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compact_vec()
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})
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dd <-
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dd |> dplyr::mutate(field_label = dplyr::if_else(is.na(field_label),
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field_name, field_label
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))
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dd |>
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dplyr::mutate(
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field_label = dplyr::if_else(is.na(field_label),
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colnames(data),
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field_label
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)
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)
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} else {
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## It really should be unique for each: same length as number of variables
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if (length(field.label) == 1 || length(field.label) == nrow(dd)) {
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dd$field_label <- field.label
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} else {
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@ -312,23 +318,16 @@ ds2dd_detailed <- function(data,
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## choices
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factor_levels <- data |>
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lapply(function(x) {
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sapply(function(x) {
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if (is.factor(x)) {
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## Custom function to ensure factor order and keep original values
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## Avoiding refactoring to keep as much information as possible
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lvls <- sort(named_levels(x))
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paste(
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paste(lvls,
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names(lvls),
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sep = ", "
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),
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collapse = " | "
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)
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sort(named_levels(x)) |>
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vec2choice()
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} else {
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NA
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}
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}) |>
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(\(x)do.call(c, x))()
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})
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dd <-
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dd |> dplyr::mutate(
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@ -346,10 +345,22 @@ ds2dd_detailed <- function(data,
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meta = dd
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)
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class(out) <- c("REDCapCAST",class(out))
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class(out) <- c("REDCapCAST", class(out))
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out
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}
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#' Check if vector is all NA
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#'
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#' @param data vector of data.frame
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#'
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#' @return logical
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#' @export
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#'
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#' @examples
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#' rep(NA,4) |> all_na()
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all_na <- function(data){
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all(is.na(data))
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}
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#' Guess time variables based on naming pattern
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#'
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@ -423,11 +434,9 @@ mark_complete <- function(upload, ls) {
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#' @export
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#'
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#' @examples
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#' \dontrun{
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#' mtcars |>
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#' parse_data() |>
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#' str()
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#' }
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parse_data <- function(data,
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guess_type = TRUE,
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col_types = NULL,
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@ -483,7 +492,6 @@ parse_data <- function(data,
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#' @importFrom forcats as_factor
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#'
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#' @examples
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#' \dontrun{
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#' sample(seq_len(4), 20, TRUE) |>
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#' var2fct(6) |>
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#' summary()
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@ -491,7 +499,6 @@ parse_data <- function(data,
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#' var2fct(6) |>
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#' summary()
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#' sample(letters[1:4], 20, TRUE) |> var2fct(6)
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#' }
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var2fct <- function(data, unique.n) {
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if (length(unique(data)) <= unique.n) {
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as_factor(data)
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@ -540,5 +547,59 @@ numchar2fct <- function(data, numeric.threshold = 6, character.throshold = 6) {
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}
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#' Named vector to REDCap choices (`wrapping compact_vec()`)
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#'
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#' @param data named vector
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#'
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#' @return character string
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#' @export
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#'
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#' @examples
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#' sample(seq_len(4), 20, TRUE) |>
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#' as_factor() |>
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#' named_levels() |>
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#' sort() |>
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#' vec2choice()
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vec2choice <- function(data) {
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compact_vec(data,nm.sep = ", ",val.sep = " | ")
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}
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#' Compacting a vector of any length with or without names
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#'
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#' @param data vector, optionally named
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#' @param nm.sep string separating name from value if any
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#' @param val.sep string separating values
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#'
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#' @return character string
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#' @export
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#'
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#' @examples
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#' sample(seq_len(4), 20, TRUE) |>
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#' as_factor() |>
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#' named_levels() |>
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#' sort() |>
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#' compact_vec()
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#' 1:6 |> compact_vec()
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#' "test" |> compact_vec()
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#' sample(letters[1:9], 20, TRUE) |> compact_vec()
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compact_vec <- function(data,nm.sep=": ",val.sep="; ") {
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# browser()
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if (all(is.na(data))) {
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return(data)
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}
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if (length(names(data)) > 0) {
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paste(
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paste(data,
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names(data),
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sep = nm.sep
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),
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collapse = val.sep
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)
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} else {
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paste(
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data,
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collapse = val.sep
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)
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}
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}
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@ -21,7 +21,6 @@ shiny_cast <- function(...) {
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}
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#' DEPRECATED Helper to import files correctly
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#'
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#' @param filenames file names
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@ -5,6 +5,6 @@ account: agdamsbo
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server: shinyapps.io
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hostUrl: https://api.shinyapps.io/v1
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appId: 11351429
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bundleId: 9392320
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bundleId: 9392352
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url: https://agdamsbo.shinyapps.io/redcapcast/
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version: 1
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@ -63,7 +63,7 @@ server <- function(input, output, session) {
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v$file <- "loaded"
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ds2dd_detailed(
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data = dat(),
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add.auto.id = input$add_id=="yes"
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add.auto.id = input$add_id == "yes"
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)
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})
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@ -132,7 +132,8 @@ server <- function(input, output, session) {
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content = function(file) {
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export_redcap_instrument(purrr::pluck(dd(), "meta"),
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file = file,
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record.id = ifelse(input$add_id=="none",NA,names(dat())[1]))
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record.id = ifelse(input$add_id == "none", NA, names(dat())[1])
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)
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}
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)
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|
@ -2,6 +2,5 @@ ui <-
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bslib::page(
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theme = bslib::bs_theme(preset = "united"),
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title = "REDCap database creator",
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nav_bar_page()
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nav_bar_page()
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)
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|
20
man/all_na.Rd
Normal file
20
man/all_na.Rd
Normal file
@ -0,0 +1,20 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/ds2dd_detailed.R
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\name{all_na}
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\alias{all_na}
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\title{Check if vector is all NA}
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\usage{
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all_na(data)
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}
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\arguments{
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\item{data}{vector of data.frame}
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}
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\value{
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logical
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}
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\description{
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Check if vector is all NA
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}
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\examples{
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rep(NA,4) |> all_na()
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}
|
31
man/compact_vec.Rd
Normal file
31
man/compact_vec.Rd
Normal file
@ -0,0 +1,31 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/ds2dd_detailed.R
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\name{compact_vec}
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\alias{compact_vec}
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\title{Compacting a vector of any length with or without names}
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\usage{
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compact_vec(data, nm.sep = ": ", val.sep = "; ")
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}
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\arguments{
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\item{data}{vector, optionally named}
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\item{nm.sep}{string separating name from value if any}
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\item{val.sep}{string separating values}
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}
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\value{
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character string
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}
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\description{
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Compacting a vector of any length with or without names
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}
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\examples{
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sample(seq_len(4), 20, TRUE) |>
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as_factor() |>
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named_levels() |>
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sort() |>
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compact_vec()
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1:6 |> compact_vec()
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"test" |> compact_vec()
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sample(letters[1:9], 20, TRUE) |> compact_vec()
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}
|
@ -75,10 +75,15 @@ Ensure, that the data set is formatted with as much information as possible.
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`field.type` can be supplied
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}
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\examples{
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\dontrun{
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data <- REDCapCAST::redcapcast_data
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data |> ds2dd_detailed()
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## Basic parsing with default options
|
||||
REDCapCAST::redcapcast_data |>
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dplyr::select(-dplyr::starts_with("redcap_")) |>
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ds2dd_detailed()
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## Adding a record_id field
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iris |> ds2dd_detailed(add.auto.id = TRUE)
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|
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## Passing form name information to function
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||||
iris |>
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ds2dd_detailed(
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add.auto.id = TRUE,
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@ -86,6 +91,8 @@ iris |>
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) |>
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purrr::pluck("meta")
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mtcars |> ds2dd_detailed(add.auto.id = TRUE)
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## Using column name suffix to carry form name
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data <- iris |>
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ds2dd_detailed(add.auto.id = TRUE) |>
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purrr::pluck("data")
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@ -93,4 +100,3 @@ names(data) <- glue::glue("{sample(x = c('a','b'),size = length(names(data)),
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replace=TRUE,prob = rep(x=.5,2))}__{names(data)}")
|
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data |> ds2dd_detailed(form.sep = "__")
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}
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}
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|
@ -33,9 +33,7 @@ data.frame or tibble
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Helper to auto-parse un-formatted data with haven and readr
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}
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\examples{
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\dontrun{
|
||||
mtcars |>
|
||||
parse_data() |>
|
||||
str()
|
||||
}
|
||||
}
|
||||
|
22
man/possibly_roman.Rd
Normal file
22
man/possibly_roman.Rd
Normal file
@ -0,0 +1,22 @@
|
||||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/as_factor.R
|
||||
\name{possibly_roman}
|
||||
\alias{possibly_roman}
|
||||
\title{Test if vector can be interpreted as roman numerals}
|
||||
\usage{
|
||||
possibly_roman(data)
|
||||
}
|
||||
\arguments{
|
||||
\item{data}{character vector}
|
||||
}
|
||||
\value{
|
||||
logical
|
||||
}
|
||||
\description{
|
||||
Test if vector can be interpreted as roman numerals
|
||||
}
|
||||
\examples{
|
||||
sample(1:100,10) |> as.roman() |> possibly_roman()
|
||||
sample(c(TRUE,FALSE),10,TRUE)|> possibly_roman()
|
||||
rep(NA,10)|> possibly_roman()
|
||||
}
|
@ -19,7 +19,6 @@ This is a wrapper of forcats::as_factor, which sorts numeric vectors before
|
||||
factoring, but levels character vectors in order of appearance.
|
||||
}
|
||||
\examples{
|
||||
\dontrun{
|
||||
sample(seq_len(4), 20, TRUE) |>
|
||||
var2fct(6) |>
|
||||
summary()
|
||||
@ -28,4 +27,3 @@ sample(letters, 20) |>
|
||||
summary()
|
||||
sample(letters[1:4], 20, TRUE) |> var2fct(6)
|
||||
}
|
||||
}
|
||||
|
24
man/vec2choice.Rd
Normal file
24
man/vec2choice.Rd
Normal file
@ -0,0 +1,24 @@
|
||||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/ds2dd_detailed.R
|
||||
\name{vec2choice}
|
||||
\alias{vec2choice}
|
||||
\title{Named vector to REDCap choices (`wrapping compact_vec()`)}
|
||||
\usage{
|
||||
vec2choice(data)
|
||||
}
|
||||
\arguments{
|
||||
\item{data}{named vector}
|
||||
}
|
||||
\value{
|
||||
character string
|
||||
}
|
||||
\description{
|
||||
Named vector to REDCap choices (`wrapping compact_vec()`)
|
||||
}
|
||||
\examples{
|
||||
sample(seq_len(4), 20, TRUE) |>
|
||||
as_factor() |>
|
||||
named_levels() |>
|
||||
sort() |>
|
||||
vec2choice()
|
||||
}
|
Loading…
Reference in New Issue
Block a user