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# Copyright (c) 2022 - 2026, Adrian Dusa
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, in whole or in part, are permitted provided that the
# following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * The names of its contributors may NOT be used to endorse or promote
# products derived from this software without specific prior written
# permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL ADRIAN DUSA BE LIABLE FOR ANY
# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#' @name drop_undeclare
#' @title Drop information / undeclare labelled objects
#' @description
#' A function to obtain a version of the object with all information about
#' declared missing values, dropped
#' @details
#' The function `undeclare()` replaces the NA entries into their original
#' numeric values, and drops all attributes related to missing values:
#' `na_values`, `na_range` and `na_index`, and it preserves the labels referring
#' to the missing values.
#'
#' The result can be a regular vector (dropping all attributes, including the
#' class "declared") by activating the argument `drop`.
#'
#' Function `drop_na()` transforms the declared missing values in regular empty
#' NAs, and the labels referring to the missing values are deleted by default.
#'
#' Function `drop()` deletes all attributes.
#' @family labelling functions
#' @return A declared labelled object.
#' @examples
#' x <- declared(
#' c(-2, 1:5, -1),
#' labels = c("Good" = 1, "Bad" = 5, "DK" = -1),
#' na_values = c(-1, -2),
#' label = "Test variable"
#' )
#'
#' x
#'
#' undeclare(x)
#'
#' drop_na(x)
#'
#' drop(x)
#'
#' undeclare(x, drop = TRUE)
#'
#' # similar to:
#' drop(undeclare(x))
#' @param x A labelled object with declared missing values
#' @param drop Logical, drop all attributes
#' @param drop_labels Logical, drop the labels for the declared missing values
#' @param ... Other internal arguments
#' @export
`undeclare` <- function (x, drop = FALSE, ...) {
UseMethod ("undeclare")
}
#' @export
`undeclare.default` <- function (x, drop = FALSE, ...) {
# do nothing
return (x)
}
#' @export
`undeclare.declared` <- function (x, drop = FALSE, ...) {
x <- sanitize_na_index_ (x)
na_index <- attr (x, "na_index")
attrx <- attributes (x)
# this is necessary to replace those values
# (because of the "[<-.declared" method)
attributes (x) <- NULL # or x <- unclass (x), but I find this cleaner
if (!is.null (na_index)) {
values <- names (na_index)
if (possibleNumeric_ (values)) {
if (is.integer (x)) {
values <- as.integer (values)
} else if (is.numeric (x)) {
values <- as.numeric (values)
}
} else {
x <- as.character (x)
}
x[na_index] <- values
}
attrx$na_index <- NULL
attrx$na_values <- NULL
attrx$na_range <- NULL
if (isFALSE (drop)) {
attrx$class <- c("declared", class(x))
attributes (x) <- attrx
}
return (x)
}
#' @export
`undeclare.data.frame` <- function (x, drop = FALSE, ...) {
declared <- vapply (x, is.declared, logical (1))
x[declared] <- lapply (x[declared], undeclare, drop = drop)
return (x)
}
#' @rdname drop_undeclare
#' @export
`drop_na` <- function (x, drop_labels = TRUE) {
UseMethod ("drop_na")
}
#' @export
`drop_na.default` <- function (x, drop_labels = TRUE) {
# do nothing
return(x)
}
#' @export
`drop_na.haven_labelled_spss` <- function (x, drop_labels = TRUE) {
attrx <- attributes (x)
x[is.element (x, attrx$na_values)] <- NA
if (isTRUE (drop_labels)) {
attrx$labels <- attrx$labels[!is.element (attrx$labels, attrx$na_values)]
}
attrx$na_index <- NULL
attrx$na_values <- NULL
attrx$na_range <- NULL
attributes (x) <- attrx
return (x)
}
#' @export
`drop_na.declared` <- function (x, drop_labels = TRUE) {
x <- sanitize_na_index_ (x)
attrx <- attributes (x)
if (isTRUE (drop_labels)) {
attrx$labels <- attrx$labels[!is.element (attrx$labels, attrx$na_values)]
}
attrx$na_index <- NULL
attrx$na_values <- NULL
attrx$na_range <- NULL
attributes (x) <- attrx
return (x)
}
#' @export
`drop_na.data.frame` <- function (x, drop_labels = TRUE) {
declared <- vapply (x, is.declared, logical (1))
x[declared] <- lapply (x[declared], drop_na, drop_labels = drop_labels)
return (x)
}
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