##' Function to remove prior imputation.
##'
##' @param data The data.table object containing the values.
##' @param value The column name of data which contains the values for the
##' variable to be modified.
##' @param observationFlag The column name of the observation flag
##' corresponding to value.
##' @param methodFlag The column name of the method flag corresponding to
##' value.
##' @param missingObservationFlag The character value which is used to
##' represent missing values in the observation flag. This value will be put
##' in any column containing imputation data that is removed.
##' @param missingMethodFlag The character value which is used to represent
##' missing values in the method flag. This value will be put in any column
##' containing imputation data that is removed.
##' @param imputedFlag This character value specifies which observation flags
##' correspond to imputed values in the data.
##'
##' @details Observations which have observationFlag == imputedFlag will be
##' modified to missing. Thus, the value will be updated to NA, the
##' observation flag will be updated to missingObservationFlag, and the method
##' flag will be updated to missingMethodFlag.
##'
##' @return No value is returned. However, the object "data" which was passed
##' to this function is modified.
##'
##' @export
##'
removeImputation = function(data, value, observationFlag, methodFlag,
missingObservationFlag = "M",
missingMethodFlag = "u",
imputedFlag = "I"){
### Data Quality Checks
stopifnot(is(data, "data.table"))
stopifnot(c(value, observationFlag, methodFlag) %in% colnames(data))
imputedIndex = data[[observationFlag]] %in% imputedFlag
invisible(data[imputedIndex, `:=`(c(value, observationFlag, methodFlag),
list(NA, missingObservationFlag,
missingMethodFlag))])
}
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