restructuring

This commit is contained in:
Andreas Gammelgaard Damsbo 2024-11-26 14:46:22 +01:00
commit 4ad21c7f57
No known key found for this signature in database
19 changed files with 432 additions and 80 deletions

View file

@ -16,7 +16,8 @@
#' structure(c(1, 2, 3, 2, 10, 9),
#' labels = c(Unknown = 9, Refused = 10)
#' ) |>
#' as_factor() |> dput()
#' as_factor() |>
#' dput()
#'
#' structure(c(1, 2, 3, 2, 10, 9),
#' labels = c(Unknown = 9, Refused = 10),
@ -56,13 +57,13 @@ as_factor.numeric <- function(x, ...) {
#' @export
as_factor.character <- function(x, ...) {
labels <- get_attr(x)
if (possibly_roman(x)){
if (possibly_roman(x)) {
x <- factor(x)
} else {
x <- structure(
forcats::fct_inorder(x),
label = attr(x, "label", exact = TRUE)
)
x <- structure(
forcats::fct_inorder(x),
label = attr(x, "label", exact = TRUE)
)
}
set_attr(x, labels, overwrite = FALSE)
}
@ -202,8 +203,9 @@ named_levels <- function(data, label = "labels", na.label = NULL, na.value = 99)
)
}
# Handle empty factors
if (all_na(data)){
if (all_na(data)) {
d <- data.frame(
name = levels(data),
value = seq_along(levels(data))
@ -213,15 +215,19 @@ named_levels <- function(data, label = "labels", na.label = NULL, na.value = 99)
name = levels(data)[data],
value = as.numeric(data)
) |>
unique()
unique() |>
stats::na.omit()
}
## Applying labels
attr_l <- attr(x = data, which = label, exact = TRUE)
if (length(attr_l) != 0) {
if (all(names(attr_l) %in% d$name)){
if (all(names(attr_l) %in% d$name)) {
d$value[match(names(attr_l), d$name)] <- unname(attr_l)
}else {
} else if (all(d$name %in% names(attr_l)) && nrow(d) < length(attr_l)){
d <- data.frame(name = names(attr_l),
value=unname(attr_l))
} else {
d$name[match(attr_l, d$name)] <- names(attr_l)
d$value[match(names(attr_l), d$name)] <- unname(attr_l)
}
@ -244,13 +250,17 @@ named_levels <- function(data, label = "labels", na.label = NULL, na.value = 99)
#' @export
#'
#' @examples
#' sample(1:100,10) |> as.roman() |> possibly_roman()
#' sample(c(TRUE,FALSE),10,TRUE)|> possibly_roman()
#' rep(NA,10)|> possibly_roman()
possibly_roman <- function(data){
#' sample(1:100, 10) |>
#' as.roman() |>
#' possibly_roman()
#' sample(c(TRUE, FALSE), 10, TRUE) |> possibly_roman()
#' rep(NA, 10) |> possibly_roman()
possibly_roman <- function(data) {
# browser()
if (all(is.na(data))) return(FALSE)
identical(as.character(data),as.character(utils::as.roman(data)))
if (all(is.na(data))) {
return(FALSE)
}
identical(as.character(data), as.character(utils::as.roman(data)))
}
@ -287,13 +297,13 @@ possibly_roman <- function(data){
#' # as_factor() |>
#' # fct2num()
#'
#' v <- sample(6:19,20,TRUE) |> factor()
#' v <- sample(6:19, 20, TRUE) |> factor()
#' dput(v)
#' named_levels(v)
#' fct2num(v)
fct2num <- function(data) {
stopifnot(is.factor(data))
if (is.character(named_levels(data))){
if (is.character(named_levels(data))) {
values <- as.numeric(named_levels(data))
} else {
values <- named_levels(data)
@ -309,7 +319,7 @@ fct2num <- function(data) {
unname(out)
}
possibly_numeric <- function(data){
possibly_numeric <- function(data) {
length(stats::na.omit(suppressWarnings(as.numeric(names(data))))) ==
length(data)
}
@ -369,7 +379,6 @@ set_attr <- function(data, label, attr = NULL, overwrite = FALSE) {
label <- label[!names(label) %in% names(attributes(data))]
}
attributes(data) <- c(attributes(data), label)
} else {
attr(data, attr) <- label
}

View file

@ -98,6 +98,116 @@ hms2character <- function(data) {
dplyr::bind_cols()
}
#' Default column names of a REDCap data dictionary
#'
#' @param ... ignored for now
#'
#' @return character vector
#' @export
#'
#' @examples
#' dput(redcap_meta_default())
redcap_meta_default <- function(...) {
c(
"field_name", "form_name", "section_header", "field_type",
"field_label", "select_choices_or_calculations", "field_note",
"text_validation_type_or_show_slider_number", "text_validation_min",
"text_validation_max", "identifier", "branching_logic", "required_field",
"custom_alignment", "question_number", "matrix_group_name", "matrix_ranking",
"field_annotation"
)
}
#' (DEPRECATED) Data set to data dictionary function
#'
#' @description
#' Creates a very basic data dictionary skeleton. Please see `ds2dd_detailed()`
#' for a more advanced function.
#'
#' @details
#' Migrated from stRoke ds2dd(). Fits better with the functionality of
#' 'REDCapCAST'.
#' @param ds data set
#' @param record.id name or column number of id variable, moved to first row of
#' data dictionary, character of integer. Default is "record_id".
#' @param form.name vector of form names, character string, length 1 or length
#' equal to number of variables. Default is "basis".
#' @param field.type vector of field types, character string, length 1 or length
#' equal to number of variables. Default is "text.
#' @param field.label vector of form names, character string, length 1 or length
#' equal to number of variables. Default is NULL and is then identical to field
#' names.
#' @param include.column.names Flag to give detailed output including new
#' column names for original data set for upload.
#' @param metadata Metadata column names. Default is the included
#' REDCapCAST::redcap_meta_default.
#'
#' @return data.frame or list of data.frame and vector
#' @export
#'
#' @examples
#' redcapcast_data$record_id <- seq_len(nrow(redcapcast_data))
#' ds2dd(redcapcast_data, include.column.names=TRUE)
ds2dd <-
function(ds,
record.id = "record_id",
form.name = "basis",
field.type = "text",
field.label = NULL,
include.column.names = FALSE,
metadata = REDCapCAST::redcap_meta_default()
) {
dd <- data.frame(matrix(ncol = length(metadata), nrow = ncol(ds)))
colnames(dd) <- metadata
if (is.character(record.id) && !record.id %in% colnames(ds)) {
stop("Provided record.id is not a variable name in provided data set.")
}
# renaming to lower case and substitute spaces with underscore
field.name <- gsub(" ", "_", tolower(colnames(ds)))
# handles both character and integer
colsel <-
colnames(ds) == colnames(ds[record.id])
if (summary(colsel)[3] != 1) {
stop("Provided record.id has to be or refer to a uniquely named column.")
}
dd[, "field_name"] <-
c(field.name[colsel], field.name[!colsel])
if (length(form.name) > 1 && length(form.name) != ncol(ds)) {
stop(
"Provided form.name should be of length 1 (value is reused) or equal
length as number of variables in data set."
)
}
dd[, "form_name"] <- form.name
if (length(field.type) > 1 && length(field.type) != ncol(ds)) {
stop(
"Provided field.type should be of length 1 (value is reused) or equal
length as number of variables in data set."
)
}
dd[, "field_type"] <- field.type
if (is.null(field.label)) {
dd[, "field_label"] <- dd[, "field_name"]
} else
dd[, "field_label"] <- field.label
if (include.column.names){
list("DataDictionary"=dd,"Column names"=field.name)
} else dd
}
#' Extract data from stata file for data dictionary
#'
#' @details
@ -134,7 +244,7 @@ hms2character <- function(data) {
#' or attribute `factor.labels.attr` for haven_labelled data set (imported .dta
#' file with `haven::read_dta()`).
#' @param metadata redcap metadata headings. Default is
#' REDCapCAST:::metadata_names.
#' REDCapCAST::redcap_meta_default().
#' @param convert.logicals convert logicals to factor. Default is TRUE.
#'
#' @return list of length 2
@ -142,7 +252,8 @@ hms2character <- function(data) {
#'
#' @examples
#' ## Basic parsing with default options
#' REDCapCAST::redcapcast_data |>
#' requireNamespace("REDCapCAST")
#' redcapcast_data |>
#' dplyr::select(-dplyr::starts_with("redcap_")) |>
#' ds2dd_detailed()
#'
@ -175,15 +286,8 @@ ds2dd_detailed <- function(data,
field.label = NULL,
field.label.attr = "label",
field.validation = NULL,
metadata = names(REDCapCAST::redcapcast_meta),
metadata = REDCapCAST::redcap_meta_default(),
convert.logicals = TRUE) {
# Repair empty columns
# These where sometimes classed as factors or
# if (any(sapply(data,all_na))){
# data <- data |>
# ## Converts logical to factor, which overwrites attributes
# dplyr::mutate(dplyr::across(dplyr::where(all_na), as.character))
# }
if (convert.logicals) {
data <- data |>
@ -357,8 +461,8 @@ ds2dd_detailed <- function(data,
#' @export
#'
#' @examples
#' rep(NA,4) |> all_na()
all_na <- function(data){
#' rep(NA, 4) |> all_na()
all_na <- function(data) {
all(is.na(data))
}
@ -561,7 +665,7 @@ numchar2fct <- function(data, numeric.threshold = 6, character.throshold = 6) {
#' sort() |>
#' vec2choice()
vec2choice <- function(data) {
compact_vec(data,nm.sep = ", ",val.sep = " | ")
compact_vec(data, nm.sep = ", ", val.sep = " | ")
}
#' Compacting a vector of any length with or without names
@ -582,7 +686,7 @@ vec2choice <- function(data) {
#' 1:6 |> compact_vec()
#' "test" |> compact_vec()
#' sample(letters[1:9], 20, TRUE) |> compact_vec()
compact_vec <- function(data,nm.sep=": ",val.sep="; ") {
compact_vec <- function(data, nm.sep = ": ", val.sep = "; ") {
# browser()
if (all(is.na(data))) {
return(data)

View file

@ -17,7 +17,7 @@
#' @export
#'
#' @examples
#' #iris |>
#' # iris |>
#' # ds2dd_detailed(
#' # add.auto.id = TRUE,
#' # form.name = sample(c("b", "c"), size = 6, replace = TRUE, prob = rep(.5, 2))
@ -30,7 +30,7 @@
#' # export_redcap_instrument(.x,file=here::here(paste0(.i,Sys.Date(),".zip")))
#' # })
#'
#' #iris |>
#' # iris |>
#' # ds2dd_detailed(
#' # add.auto.id = TRUE
#' # ) |>
@ -38,18 +38,18 @@
#' # export_redcap_instrument(file=here::here(paste0("instrument",Sys.Date(),".zip")))
export_redcap_instrument <- function(data,
file,
force=FALSE,
force = FALSE,
record.id = "record_id") {
# Ensure form name is the same
if (force){
if (force) {
data$form_name <- data$form_name[1]
} else if (length(unique(data$form_name))!=1){
} else if (length(unique(data$form_name)) != 1) {
stop("Please provide metadata for a single form only. See examples for
ideas on exporting multiple instruments.")
}
if (!is.na(record.id) && record.id %in% data[["field_name"]]){
data <- data[-match(record.id,data[["field_name"]]),]
if (!is.na(record.id) && record.id %in% data[["field_name"]]) {
data <- data[-match(record.id, data[["field_name"]]), ]
}
temp_dir <- tempdir()
@ -82,6 +82,7 @@ export_redcap_instrument <- function(data,
#' @export
#'
#' @examples
#' \dontrun{
#' data <- iris |>
#' ds2dd_detailed(
#' add.auto.id = TRUE,
@ -100,9 +101,10 @@ export_redcap_instrument <- function(data,
#' setNames(glue::glue("{sample(x = c('a','b'),size = length(ncol(iris)),
#' replace=TRUE,prob = rep(x=.5,2))}__{names(iris)}")) |>
#' ds2dd_detailed(form.sep = "__")
#' # data |>
#' # purrr::pluck("meta") |>
#' # create_instrument_meta(record.id = FALSE)
#' data |>
#' purrr::pluck("meta") |>
#' create_instrument_meta(record.id = FALSE)
#' }
create_instrument_meta <- function(data,
dir = here::here(""),
record.id = TRUE) {

View file

@ -1,6 +1,6 @@
#' REDCap metadata from data base
#'
#' This metadata dataset from a REDCap database is for demonstrational purposes.
#' This metadata dataset from a REDCap database is for demonstration purposes.
#'
#' @format A data frame with 22 variables:
#' \describe{