Calculate elements for the CatPCA biplot

This function performs calculations for the construction of a CatPCA biplot.

Usage

# S3 method for class 'biplot'
CatPCA(
  bp,
  cat.type = NULL,
  dim.biplot = c(2, 1, 3),
  e.vects = 1:ncol(bp$X),
  group.aes = NULL,
  show.class.means = FALSE,
  epsilon = 1e-06
)

Arguments

bp

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

cat.type

a vector indicating whether each categorical variables is nominal or ordinal.

dim.biplot

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

e.vects

the vector indicating which eigenvectors (principal components) should be plotted in the biplot, with default 1:dim.biplot.

group.aes

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

show.class.means

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

epsilon

convergence criteria for iterative algorithm with defaults 1e-6.

Value

an object of class CatPCA, inherits from classes PCA and biplot.

Examples

biplot(iris) |> CatPCA()
#> Object of class biplot, based on 150 samples and 5 variables.
#> 4 numeric variables.
#> 1 categorical variable.
# create a CatPCA biplot
biplot(data = iris) |> CatPCA() |> plot()
#> Warning: The ggplot2 engine does not yet support catPCA nominal/ordinal axes; falling back to base graphics.

#> Error in scale.default(Xhat, center = -1 * x$means, scale = FALSE): length of 'center' must equal the number of columns of 'x'