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# ==================================================================== #
# TITLE #
# cleaner: Fast and Easy Data Cleaning #
# #
# SOURCE #
# https://github.com/msberends/cleaner #
# #
# LICENCE #
# (c) 2022 Berends MS (m.s.berends@umcg.nl) #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
# This R package was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# ==================================================================== #
#' Generate random dates
#'
#' This function provides random date generation with a specified range, that defaults to the beginning and end of the current year.
#' @inheritParams stats::runif
#' @param min,max lower and upper limits of the distribution. Must be (coercible to) valid dates.
#' @param ... parameters given to \code{as.Date()} for coercing the values of \code{min} and \code{max}
#' @export
#' @examples
#' # generate a million random dates and check the distribution
#' hist(rdate(1000000), breaks = "months")
rdate <- function(n,
min = paste0(format(Sys.Date(), "%Y"), "-01-01"),
max = paste0(format(Sys.Date(), "%Y"), "-12-31"),
...) {
tryCatch({
min <- as.Date(min, ...)
max <- as.Date(max, ...)
}, error = function(e) {
stop("Both 'min' and 'max' must be coercible to valid dates. Note: ", e$message)
})
sample(seq.Date(min, max, by = "day"),
size = ifelse(length(n) == 1, n, length(n)),
replace = TRUE)
}
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