pca_plot: Principal Component Analysis Plot

In ztils: Various Common Statistical Utilities

Principal Component Analysis Plot

Description

This function uses a group, PCA variables, and a scaled boolean to generate a biplot.using 'ggplot2' and 'scico'.

Usage

pca_plot(group, pcavars, scaled = FALSE, palette = "oslo")

Arguments

group	The group variable (column)
pcavars	The variables to include in the principle component analysis
scaled	A boolean (TRUE or FALSE) indicating if the pcavars are already scaled
palette	A color palette to use on the plot, with each group assigned to a color.

Value

A plot showing PC1 on the x axis, PC2 on the y axis, colored by group, with vectors and labels showing the individual pca variables.

Examples

pca_plot(iris$Species, iris[,c(1:4)])

pca_plot(iris$Species, iris[,c(1:4)], FALSE, "bilbao")

ztils documentation built on April 11, 2025, 5:52 p.m.