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as_factor functions to preserve attributes
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parent
42efec437a
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249
R/as_factor.R
Normal file
249
R/as_factor.R
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@ -0,0 +1,249 @@
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#' Convert labelled vectors to factors while preserving attributes
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#'
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#' This extends [forcats::as_factor()] as well as [haven::as_factor()], by appending
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#' original attributes except for "class" after converting to factor to avoid
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#' ta loss in case of rich formatted and labelled data.
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#'
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#' Please refer to parent functions for extended documentation.
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#'
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#' @param x Object to coerce to a factor.
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#' @param ... Other arguments passed down to method.
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#' @export
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#' @examples
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#' # will preserve all attributes but class
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#' 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()
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#'
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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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#' class = "haven_labelled"
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#' ) |>
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#' as_factor()
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#'
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#' @importFrom forcats as_factor
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#' @importFrom rlang check_dots_used
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#' @export
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#' @name as_factor
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as_factor <- function(x, ...) {
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rlang::check_dots_used()
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UseMethod("as_factor")
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}
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#' @rdname as_factor
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#' @export
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as_factor.logical <- function(x, ...) {
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labels <- get_attr(x)
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x <- forcats::as_factor(x, ...)
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set_attr(x, labels[-match("class", names(labels))])
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}
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#' @rdname as_factor
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#' @export
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as_factor.numeric <- function(x, ...) {
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labels <- get_attr(x)
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x <- forcats::as_factor(x, ...)
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set_attr(x, labels[-match("class", names(labels))])
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}
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#' @rdname as_factor
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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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x <- forcats::as_factor(x, ...)
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set_attr(x, labels[-match("class", names(labels))])
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}
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#' @rdname as_factor
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#' @export
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as_factor.haven_labelled <- function(x, ...) {
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labels <- get_attr(x)
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x <- haven::as_factor(x, ...)
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set_attr(x, labels[-match("class", names(labels))])
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}
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#' @export
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#' @rdname as_factor
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as_factor.labelled <- as_factor.haven_labelled
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#' Get named vector of factor levels and values
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#'
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#' @param data factor
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#' @param label character string of attribute with named vector of factor labels
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#'
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#' @return named vector
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#' @export
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#'
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#' @examples
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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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#' class = "haven_labelled"
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#' ) |> as_factor() |> named_levels()
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named_levels <- function(data, label = "labels",na.label=NULL, na.value=99) {
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stopifnot(is.factor(data))
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if (!is.null(na.label)){
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attrs <- attributes(data)
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lvls <- as.character(data)
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lvls[is.na(lvls)] <- na.label
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vals <- as.numeric(data)
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vals[is.na(vals)] <- na.value
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lbls <- data.frame(
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name = lvls,
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value = vals
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) |> unique() |>
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(\(d){
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stats::setNames(d$value, d$name)
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})() |>
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sort()
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data <- do.call(structure,
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c(list(.Data=match(vals,lbls)),
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attrs[-match("levels", names(attrs))],
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list(levels=names(lbls),
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labels=lbls)))
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}
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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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## Applying labels
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attr_l <- attr(x = data, which = label, exact = TRUE)
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if (length(attr_l) != 0) {
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d$value[match(names(attr_l), d$name)] <- unname(attr_l)
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}
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out <- stats::setNames(d$value, d$name)
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## Sort if levels are numeric
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## Else, they appear in order of appearance
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if (identical(
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levels(data),
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suppressWarnings(as.character(as.numeric(levels(data))))
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)) {
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out <- out |> sort()
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}
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out
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}
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#' Allows conversion of factor to numeric values preserving original levels
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#'
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#' @param data vector
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#'
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#' @return numeric vector
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#' @export
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#'
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#' @examples
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#' c(1, 4, 3, "A", 7, 8, 1) |>
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#' as_factor() |> fct2num()
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#'
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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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#' class = "haven_labelled"
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#' ) |>
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#' as_factor() |>
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#' fct2num()
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#'
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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() |>
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#' fct2num()
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fct2num <- function(data) {
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stopifnot(is.factor(data))
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as.numeric(named_levels(data))[match(data, names(named_levels(data)))]
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}
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#' Extract attribute. Returns NA if none
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#'
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#' @param data vector
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#' @param attr attribute name
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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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#' attr(mtcars$mpg, "label") <- "testing"
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#' sapply(mtcars, get_attr)
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#' lapply(mtcars, \(.x)get_attr(.x, NULL))
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#' mtcars |>
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#' numchar2fct(numeric.threshold = 6) |>
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#' ds2dd_detailed()
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get_attr <- function(data, attr = NULL) {
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if (is.null(attr)) {
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attributes(data)
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} else {
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a <- attr(data, attr, exact = TRUE)
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if (is.null(a)) {
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NA
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} else {
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a
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}
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}
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}
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#' Set attributes for named attribute. Appends if attr is NULL
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#'
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#' @param data vector
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#' @param label label
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#' @param attr attribute name
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#'
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#' @return vector with attribute
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#' @export
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#'
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set_attr <- function(data, label, attr = NULL) {
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if (is.null(attr)) {
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## Has to be list...
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stopifnot(is.list(label))
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## ... with names
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stopifnot(length(label)==length(names(label)))
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attributes(data) <- c(attributes(data),label)
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} else {
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attr(data, attr) <- label
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}
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data
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}
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#' Finish incomplete haven attributes substituting missings with values
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#'
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#' @param data haven labelled variable
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#'
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#' @return named vector
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#' @export
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#'
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#' @examples
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#' ds <- structure(c(1, 2, 3, 2, 10, 9),
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#' labels = c(Unknown = 9, Refused = 10),
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#' class = "haven_labelled"
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#' )
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#' haven::is.labelled(ds)
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#' attributes(ds)
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#' ds |> haven_all_levels()
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haven_all_levels <- function(data) {
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stopifnot(haven::is.labelled(data))
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if (length(attributes(data)$labels) == length(unique(data))) {
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out <- attributes(data)$labels
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} else {
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att <- attributes(data)$labels
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out <- c(unique(data[!data %in% att]), att) |>
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stats::setNames(c(unique(data[!data %in% att]), names(att)))
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}
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out
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}
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# readr::read_rds("/Users/au301842/PAaSO/labelled_test.rds") |> ds2dd_detailed()
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#' sample(c(TRUE,FALSE,NA),20,TRUE) |> set_attr("hidden","status") |> trial_fct() |> named_levels(na.label = "Missing") |> sort()
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# trial_fct <- function(x){
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# labels <- get_attr(x)
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# x <- factor(x, levels = c("FALSE", "TRUE"))
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# set_attr(x, labels[-match("class", names(labels))])
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# }
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@ -172,20 +172,20 @@ ds2dd_detailed <- function(data,
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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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# labels <- lapply(data, \(.x){
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# get_attr(.x, attr = NULL)
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# })
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no_attr <- data |>
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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), forcats::as_factor))
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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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# 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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@ -262,7 +262,6 @@ ds2dd_detailed <- function(data,
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}
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}
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data_classes <- do.call(c, lapply(data, \(.x)class(.x)[1]))
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## field_type
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@ -308,27 +307,15 @@ ds2dd_detailed <- function(data,
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## choices
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if (any(do.call(c, lapply(data, haven::is.labelled)))) {
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factor_levels <- data |>
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lapply(function(x) {
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if (haven::is.labelled(x)) {
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att <- haven_all_levels(x)
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paste(paste(att, names(att), sep = ", "), collapse = " | ")
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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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} else {
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factor_levels <- data |>
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factor_levels <- data |>
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lapply(function(x) {
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if (is.factor(x)) {
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## Re-factors to avoid confusion with missing levels
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## Assumes all relevant levels are represented in the data
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re_fac <- 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(seq_along(levels(re_fac)),
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levels(re_fac),
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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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@ -338,7 +325,6 @@ ds2dd_detailed <- function(data,
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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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@ -357,33 +343,6 @@ ds2dd_detailed <- function(data,
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)
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}
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#' Finish incomplete haven attributes substituting missings with values
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#'
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#' @param data haven labelled variable
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#'
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#' @return named vector
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#' @export
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#'
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#' @examples
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#' ds <- structure(c(1, 2, 3, 2, 10, 9),
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#' labels = c(Unknown = 9, Refused = 10),
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#' class = "haven_labelled"
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#' )
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#' haven::is.labelled(ds)
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#' attributes(ds)
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#' ds |> haven_all_levels()
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haven_all_levels <- function(data) {
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stopifnot(haven::is.labelled(data))
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if (length(attributes(data)$labels) == length(unique(data))) {
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out <- attributes(data)$labels
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} else {
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att <- attributes(data)$labels
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out <- c(unique(data[!data %in% att]), att) |>
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stats::setNames(c(unique(data[!data %in% att]), names(att)))
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}
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out
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}
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#' Guess time variables based on naming pattern
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#'
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@ -567,50 +526,6 @@ numchar2fct <- function(data, numeric.threshold = 6, character.throshold = 6) {
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)
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}
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#' Extract attribute. Returns NA if none
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#'
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#' @param data vector
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#' @param attr attribute name
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#'
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#' @return character vector
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#' @export
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#'
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#' @examples
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#' attr(mtcars$mpg, "label") <- "testing"
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#' sapply(mtcars, get_attr)
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#' lapply(mtcars, \(.x)get_attr(.x, NULL))
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#' mtcars |>
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#' numchar2fct(numeric.threshold = 6) |>
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#' ds2dd_detailed()
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get_attr <- function(data, attr = NULL) {
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if (is.null(attr)) {
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attributes(data)
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} else {
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a <- attr(data, attr, exact = TRUE)
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if (is.null(a)) {
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NA
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} else {
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a
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}
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}
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}
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#' Set attributes for named attribute. Appends if attr is NULL
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#'
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#' @param data vector
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#' @param label label
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#' @param attr attribute name
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#'
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#' @return vector with attribute
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#' @export
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#'
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set_attr <- function(data, label, attr = NULL) {
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if (is.null(attr)) {
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attributes(data) <- c(attributes(data),label)
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} else {
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attr(data, attr) <- label
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}
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data
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}
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51
man/as_factor.Rd
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51
man/as_factor.Rd
Normal file
@ -0,0 +1,51 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/as_factor.R
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\name{as_factor}
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\alias{as_factor}
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\alias{as_factor.logical}
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\alias{as_factor.numeric}
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\alias{as_factor.character}
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\alias{as_factor.haven_labelled}
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\alias{as_factor.labelled}
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\title{Convert labelled vectors to factors while preserving attributes}
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\usage{
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as_factor(x, ...)
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\method{as_factor}{logical}(x, ...)
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\method{as_factor}{numeric}(x, ...)
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\method{as_factor}{character}(x, ...)
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\method{as_factor}{haven_labelled}(x, ...)
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\method{as_factor}{labelled}(x, ...)
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}
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\arguments{
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\item{x}{Object to coerce to a factor.}
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\item{...}{Other arguments passed down to method.}
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}
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\description{
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This extends [forcats::as_factor()] as well as [haven::as_factor()], by appending
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original attributes except for "class" after converting to factor to avoid
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ta loss in case of rich formatted and labelled data.
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}
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\details{
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Please refer to parent functions for extended documentation.
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}
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\examples{
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# will preserve all attributes but class
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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()
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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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class = "haven_labelled"
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) |>
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as_factor()
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}
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34
man/fct2num.Rd
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34
man/fct2num.Rd
Normal file
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/as_factor.R
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\name{fct2num}
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\alias{fct2num}
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\title{Allows conversion of factor to numeric values preserving original levels}
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\usage{
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fct2num(data)
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}
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\arguments{
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\item{data}{vector}
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}
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\value{
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numeric vector
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}
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\description{
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Allows conversion of factor to numeric values preserving original levels
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}
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\examples{
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c(1, 4, 3, "A", 7, 8, 1) |>
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as_factor() |> fct2num()
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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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class = "haven_labelled"
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) |>
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as_factor() |>
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fct2num()
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structure(c(1, 2, 3, 2, 10, 9),
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labels = c(Unknown = 9, Refused = 10)
|
||||
) |>
|
||||
as_factor() |>
|
||||
fct2num()
|
||||
}
|
@ -1,5 +1,5 @@
|
||||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/ds2dd_detailed.R
|
||||
% Please edit documentation in R/as_factor.R
|
||||
\name{get_attr}
|
||||
\alias{get_attr}
|
||||
\title{Extract attribute. Returns NA if none}
|
||||
|
@ -1,5 +1,5 @@
|
||||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/ds2dd_detailed.R
|
||||
% Please edit documentation in R/as_factor.R
|
||||
\name{haven_all_levels}
|
||||
\alias{haven_all_levels}
|
||||
\title{Finish incomplete haven attributes substituting missings with values}
|
||||
|
25
man/named_levels.Rd
Normal file
25
man/named_levels.Rd
Normal file
@ -0,0 +1,25 @@
|
||||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/as_factor.R
|
||||
\name{named_levels}
|
||||
\alias{named_levels}
|
||||
\title{Get named vector of factor levels and values}
|
||||
\usage{
|
||||
named_levels(data, label = "labels", na.label = NULL, na.value = 99)
|
||||
}
|
||||
\arguments{
|
||||
\item{data}{factor}
|
||||
|
||||
\item{label}{character string of attribute with named vector of factor labels}
|
||||
}
|
||||
\value{
|
||||
named vector
|
||||
}
|
||||
\description{
|
||||
Get named vector of factor levels and values
|
||||
}
|
||||
\examples{
|
||||
structure(c(1, 2, 3, 2, 10, 9),
|
||||
labels = c(Unknown = 9, Refused = 10),
|
||||
class = "haven_labelled"
|
||||
) |> as_factor() |> named_levels()
|
||||
}
|
@ -1,5 +1,5 @@
|
||||
% Generated by roxygen2: do not edit by hand
|
||||
% Please edit documentation in R/ds2dd_detailed.R
|
||||
% Please edit documentation in R/as_factor.R
|
||||
\name{set_attr}
|
||||
\alias{set_attr}
|
||||
\title{Set attributes for named attribute. Appends if attr is NULL}
|
||||
|
Loading…
Reference in New Issue
Block a user