CATPCA: Categorical Principal Component Analysis

In biplotEZ: EZ-to-Use Biplots

Categorical Principal Component Analysis

Description

Categorical Principal Component Analysis

Usage

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)

biplotEZ documentation built on April 4, 2025, 2:20 a.m.