#' Generate missing data depending on the counts
#'
#' The observed values will be either equal to the counts or missing. The probability of missing is the inverse of the counts + 1.
#'
#' @param dataset A dataset to a the observation with missing data
#' @param proportion The proportion of observations that will be missing
#' @param count.variable The name of the variable holding the counts
#' @param observed.variable The name of the variable holding the observed values = either count or missing
#' @export
missingCurrentCount <- function(
dataset,
proportion = 0.25,
count.variable = "Count",
observed.variable = "Observed"
){
dataset[, observed.variable] <- dataset[, count.variable]
n <- sample(
nrow(dataset),
size = floor(proportion * nrow(dataset)),
prob = 1 / (dataset[, count.variable] + 1)
)
dataset[n, observed.variable] <- NA
return(dataset)
}
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