Categorical Principal Component Analysis

Categorical Principal Component Analysis

CATPCA(bp, dim.biplot = c(2, 1, 3), e.vects = 1:ncol(bp$X),
group.aes = NULL, show.class.means = FALSE)

Arguments

bp

an object of class biplot obtained from preceding function biplot().

dim.biplot

dimension of the biplot. Only values 1, 2 and 3 are accepted, with default 2.

e.vects

which eigenvectors (principal components) to extract, with default 1:dim.biplot.

group.aes

vector of the same length as the number of rows in the data matrix for differentiated aesthetics for samples.

show.class.means

logical, indicating whether group means should be plotted in the biplot.

Value

an object of class biplot

Examples

CATPCA (iris)