#' Validates If ZipCode
#'
#' Validates If ZipCode
#'
#' @param data A data frame.
#' @param x Column name from \code{data} (character string).
#' @param \dots ignored.
#' @export
#' @examples
#' dat <- data.frame(
#' zip1 = c('14222', '14222-1234', '123456', 'dog', '', 'NULL', 'NA'),
#' zip2 = c('14222', '14222-1234', '12345', 'n/a', '', 'NULL', 'NA'),
#' stringsAsFactors = FALSE
#' )
#' vc_zipcode(dat, 'zip1')
#' vc_zipcode(dat, 'zip2')
vc_zipcode <- function(data, x, ...){
## select the column & replace missing with NA
col <- sub_out_missing(data[[x]])
## record missing (NA)
is_na <- is.na(col)
## expression to validate against (elementwise)
regex <- "^\\d{5}(-\\d{4})?$"
is_valid <- stringi::stri_detect_regex(col, regex)
## valid columnwise: Are all elelemnts either valid or NA?
are_valid <- all(is_valid|is_na)
## generate the comment
if (!are_valid){
message <- sprintf(
"The following rows of %s do not follow the format of allowable zipcodes:\n\n%s\n\n\n\n",
sQuote(x),
output_truncate(which(!(is_valid|is_na)))
)
} else {
message <- NULL
}
## construct vc list & class
vc_output <- list(
column_name = x,
valid = are_valid,
message = message,
passing = is_valid,
missing = is_na,
call = 'vc_zipcode'
)
class(vc_output) <- 'vc'
vc_output
}
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