prcomp vs. pca - fix prop. var. explained in pca()

[Amrit Singh]

X <- matrix(rnorm(32000), 1000, 32) pc_prcomp <- stats::prcomp(X, scale. = TRUE, center = TRUE, rank. = 2) pc_pca <- mixOmics::pca(X, scale = TRUE, center = TRUE, ncomp = 2) summary(pc_prcomp); summary(pc_pca)

[Florian Rohart]

The correct results can be already found in pc_pca$explained_variance. It's an error in the print.pca function.

Thanks for reporting!

[Florian Rohart]

actually it's in the summary.pca, not the print.pca (the print is fine)

Will be fixed in the next release

[Florian Rohart]

commit 21166e7