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#' A function to convert data into a z-score
#'
#' This function converts the columns in a data matrix into z-scores. The
#' score is computed by subracting each observation in a column from the column
#' mean and divding by the column standard deviation. Each column is converted
#' independently of the others missing values are ignored in the calculation.
#'
#'
#' @param DATA A (non-empty) matrix with data values. Columns should be
#' different traits and rows unique observations of those traits
#' @return Returns a matrix with the same dimensions as DATA.
#' @seealso \code{\link{PercentMax}}, \code{\link{MeanCent}}
#' @examples
#'
#' data(Nuclei)
#'
#' colMeans(Nuclei, na.rm=TRUE)
#'
#' Nuclei.ZT<-ZTrans(Nuclei)
#'
#' colMeans(Nuclei.ZT, na.rm=TRUE)
#'
#' @export ZTrans
ZTrans <- function(DATA) {
cmean <- apply(DATA, 2, mean, na.rm = TRUE)
cmat <- matrix(cmean, ncol = ncol(DATA), nrow = nrow(DATA),
byrow = TRUE)
muDAT <- DATA - cmat
csd <- apply(DATA, 2, sd, na.rm = TRUE)
cdmat <- matrix(csd, ncol = ncol(DATA), nrow = nrow(DATA),
byrow = TRUE)
Z.SCORES <- muDAT/cdmat
return(Z.SCORES)
} #end FUNCTION
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