#' Time Series Numbers
#'
#' Assert that a STAR template's time series are numbers and not strings.
#'
#' @param file filename of an Excel STAR template.
#' @param short whether to show the filename in a short \code{\link{basename}}
#' format.
#' @param stop whether to stop if test fails.
#' @param quiet whether to suppress messages.
#'
#' @return
#' \code{TRUE} if test succeeds, otherwise an error message
#' (if \code{stop = TRUE}) or \code{FALSE} and a warning message
#' (if \code{stop = FALSE}).
#'
#' @note
#' Stock assessors sometimes enter values into STAR templates as strings instead
#' of numbers. This is usually because of regional settings on different
#' computers.
#'
#' @seealso
#' \code{\link{qc}} runs all \code{qc.*} tests.
#'
#' \code{\link{gfcmSTAR-package}} gives an overview of the package.
#'
#' @examples
#' \dontrun{
#' qc.ts.numbers("STAR_2019_HKE_5.xlsx")
#' }
#'
#' @importFrom XLConnect readTable
#' @importFrom utils type.convert
#'
#' @export
qc.ts.numbers <- function(file, short=TRUE, stop=TRUE, quiet=FALSE)
{
## 1 Preamble
filename <- if(short) basename(file) else file
if(!quiet)
message("* checking '", filename, "' with qc.ts.numbers ... ",
appendLF=FALSE)
## 2 Test
w <- loadWorkbook(file)
x <- readWorksheet(w, 3)
row <- which(x[,1] == "Year")
y <- if(nrow(x)==row) x[NULL,] else x[(row+1):nrow(x),]
names(y) <- x[row,]
for(i in seq_along(y)) # handwritten loop, to support R versions < 3.5
y[[i]] <- type.convert(y[[i]], as.is=TRUE)
cols <- sapply(y, class)
success <- !any(cols == "character")
## 3 Show result
if(!success)
{
if(!quiet) message("ERROR")
cnames <- paste(names(cols[cols=="character"]), collapse="; ")
msg <- paste("string values found in time series:", cnames)
if(stop) stop(msg) else warning(msg)
}
else if(!quiet)
message("OK")
success
}
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