Nothing
gx.rqpca.print <-
function(save, ifload = TRUE, ifcntrb = FALSE, ifscore = TRUE)
{
# Function to print the PCA matrices saved from gx.mva, gx.mva.closed,
# gx.robmva, gx.robmva.closed and gx.rotate. To save the matrices as
# '.csv' files use function gx.rqpca.save. The last table saved as an
# object for easy access by users, rather than having to extract the
# scores from a saved object.
#
cat(" PCA matrices for", deparse(substitute(save)),
"\n Source data matrix:", save$input, "\n\n")
if(ifload) {
cat(" PC Loadings:\n")
table.rows <- round(save$rload, 5)
dimnames(table.rows)[[1]] <- save$matnames[[2]]
dimnames(table.rows)[[2]] <- paste("PC-", 1:save$p, sep="")
print(table.rows)
cat("\n")
}
if(ifcntrb) {
cat(" The relative % contributions of the scores of the loadings:\n")
table.rows <- round(save$rcr, 2)
dimnames(table.rows)[[1]] <- save$matnames[[2]]
dimnames(table.rows)[[2]] <- paste("PC-", 1:save$p, sep="")
print(table.rows)
cat("\n The cumulative relative % contributions of the PCs:\n")
temp.table <- matrix(nrow=save$p, ncol=save$p)
for (i in 1:save$p) {
cumulation <- cumsum(save$rcr[i, ])
temp.table[i, ] <- round(cumulation, 2)
}
dimnames(temp.table)[[1]] <- save$matnames[[2]]
dimnames(temp.table)[[2]] <- paste("PC-", 1:save$p, sep="")
print(temp.table)
cat("\n")
}
if(ifscore) {
cat(" Scores on the PCs:\n")
table.rows <- round(save$rqscore, 4)
dimnames(table.rows)[[2]] <- paste("PC-", 1:save$p, sep="")
print(table.rows)
cat("\n")
}
if(!is.null(save$nr)) {
cat(" Following a Varimax rotation:\n\n")
if(ifload) {
cat(" Rotated PC Loadings:\n")
table.rows <- round(unlist(unclass(save$vload)), 5)
dimnames(table.rows)[[1]] <- save$matnames[[2]]
dimnames(table.rows)[[2]] <- paste("RPC-", 1:save$nr, sep="")
print(table.rows)
cat("\n")
}
if(ifscore) {
cat(" Scores on the Rotated PCs:\n\n")
table.rows <- round(save$vscore, 4)
dimnames(table.rows)[[2]] <- paste("RPC-", 1:save$nr, sep="")
print(table.rows)
cat("\n")
}
}
invisible(table.rows)
}
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