Nothing
#' @export
#' @keywords internal
print.PCAmix <- function(x, ...){
if (!inherits(x, "PCAmix"))
stop("use only with \"PCAmix\" objects")
cat("\nCall:\n", deparse(x$call), "\n\n", sep = "")
p1 <- x$rec$p1
p <- x$rec$p
if (colnames(x$sqload)[1]=="dim1.rot") cat("Method = rotation after ") else cat("Method = ")
if (p1==p) cat("Principal Component Analysis (PCA)")
if (p1==0) cat("Multiple Correspondence Analysis (MCA)")
if ((p1!=0) && (p1!=p)) cat("Principal Component of mixed data (PCAmix)")
cat("\n")
if (colnames(x$sqload)[1]=="dim1.rot") cat("number of iterations: ",x$iter,sep=" ")
cat("\n")
cat("\n")
if (colnames(x$sqload)[1]=="dim1.rot") {
res <- matrix("",9,2)
colnames(res) <-c("name","description")
res[1,] <- c("$eig", "variances of the 'ndim' first dimensions after rotation")
res[2,] <- c("$ind", "results for the individuals after rotation (coord)")
res[3,] <- c("$quanti", "results for the quantitative variables (coord) after rotation")
res[4,] <- c("$levels", "results for the levels of the qualitative variables (coord) after rotation")
res[5,] <- c("$quali", "results for the qualitative variables (coord) after rotation ")
res[6,] <- c("$sqload", "squared loadings after rotation")
res[7,] <- c("$coef", "coef of the linear combinations defining the rotated PC")
res[8,] <- c("$theta", "angle of rotation if 'dim'=2")
res[9,] <- c("$T", "matrix of rotation")
} else {
res <- matrix("",7,2)
colnames(res) <-c("name","description")
res[1,] <- c("$eig", "eigenvalues of the principal components (PC) ")
res[2,] <- c("$ind", "results for the individuals (coord,contrib,cos2)")
res[3,] <- c("$quanti", "results for the quantitative variables (coord,contrib,cos2)")
res[4,] <- c("$levels", "results for the levels of the qualitative variables (coord,contrib,cos2)")
res[5,] <- c("$quali", "results for the qualitative variables (contrib,relative contrib)")
res[6,] <- c("$sqload", "squared loadings")
res[7,] <- c("$coef", "coef of the linear combinations defining the PC")
}
if (!(is.null(x$sqload.sup)))
{
sup <- matrix("",3,2)
sup[1,] <- c("$quanti.sup", "results for the supplementary quantitative variables")
sup[2,] <- c("$levels.sup", "results for the levels of the qualitative variables")
sup[3,] <- c("$sqload.sup", "squared loadings of the supplementary variables")
res <- rbind(res,sup)
}
utils::write.table(res,row.names = FALSE)
}
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