#' Validates If Email
#'
#' Validates If Email
#'
#' @param data A data frame.
#' @param x Column name from \code{data} (character string).
#' @param \dots ignored.
#' @export
#' @examples
#' dat <- data.frame(
#' email =c('cookie@cookiemonster.com', 'joe@hometown.uni'
#' , 'meet@seven', '@Jim', 'joe@gmail.com', NA),
#' stringsAsFactors = FALSE
#' )
#' vc_email(dat, 'email')
vc_email <- 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 <- "^[a-z0-9._%+-]+@[a-z0-9.-]+\\.[a-z]{2,}$"
is_valid <- grepl(regex, col, ignore.case = TRUE)
is_valid[is_na] <- NA
## 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 emails:\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_email'
)
class(vc_output) <- 'vc'
vc_output
}
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