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variable type filter

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Andreas Gammelgaard Damsbo 2025-04-14 10:10:33 +02:00
commit 9b966e9b9c
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12 changed files with 308 additions and 757 deletions
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31
R/helpers.R
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@ -340,7 +340,7 @@ missing_fraction <- function(data) {
#' sample(1:8, 20, TRUE),
#' sample(c(1:8, NA), 20, TRUE)
#' ) |> data_description()
data_description <- function(data) {
data_description <- function(data, data_text = "Data") {
data <- if (shiny::is.reactive(data)) data() else data
n <- nrow(data)
@ -349,7 +349,8 @@ data_description <- function(data) {
p_complete <- n_complete / n
sprintf(
i18n("Data has %s observations and %s variables, with %s (%s%%) complete cases."),
i18n("%s has %s observations and %s variables, with %s (%s%%) complete cases."),
data_text,
n,
n_var,
n_complete,
@ -357,6 +358,32 @@ data_description <- function(data) {
)
}
#' Filter function to filter data set by variable type
#'
#' @param data data frame
#' @param type vector of data types (recognised: data_types)
#'
#' @returns data.frame
#' @export
#'
#' @examples
#' default_parsing(mtcars) |> data_type_filter(type=c("categorical","continuous")) |> attributes()
#' \dontrun{
#' default_parsing(mtcars) |> data_type_filter(type=c("test","categorical","continuous"))
#' }
data_type_filter <- function(data,type){
## Please ensure to only provide recognised data types
assertthat::assert_that(all(type %in% data_types()))
out <- data[data_type(data) %in% type]
code <- rlang::call2("data_type_filter",!!!list(type=type),.ns = "FreesearchR")
if (!is.null(code)){
attr(out, "code") <- code
}
out
}
#' Drop-in replacement for the base::sort_by with option to remove NAs
#'
#' @param x x