PCA correlation plot — pca_correlation

A plot of the correlation between the variables/features and the selected principal component scores. Features with high correlation are well represented by the selected component(s)

Usage

pca_correlation_plot(components = c(1, 2), ...)

Arguments

components: (numeric) The Principal Components used to generate the plot. The default is c(1, 2).
...: Additional slots and values passed to struct_class.

Value

A pca_correlation_plot object. This object has no output slots. See chart_plot in the struct package to plot this chart object.

Inheritance

A pca_correlation_plot object inherits the following struct classes:

[pca_correlation_plot] >> [chart] >> [struct_class]

Examples

M = pca_correlation_plot(
      components = c(1, 2))

C = pca_correlation_plot()