CATPCA {biplotEZ} | R Documentation |
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 |
dim.biplot |
dimension of the biplot. Only values 1, 2 and 3 are accepted, with default |
e.vects |
which eigenvectors (principal components) to extract, with default |
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)
[Package biplotEZ version 2.0 Index]