#' Calculating Total Sum of Squares (TSS)
#' @param X Mean centered and unit variance scaled matrix (see Details).
#' @return Total sum of squares.
#' @details Input matrix rows correspond to n observations and columns to m variables. For large matrices (here defined by m>3k), X is subsampled to speed up computation time. Currently, subsampling is achieved by selecting each selecting each third row element.
#' @author Torben Kimhofer \email{tkimhofer@@gmail.com}
#' @noRd
totSS<-function(X){
# to speed calculations up, sample X matrix if large enought
if(ncol(X) > 3000){ #nrow(X)<1000 |
idx<-seq(from=1, to=ncol(X), by=3)
tss<-sum(apply(X[,idx], 1, function(x){crossprod(x)}))
}else{
tss<-sum(apply(X, 1, function(x){crossprod(x)}))
}
return(tss)
}
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