plot_pca: plot_pca

In enriquea/feseR: Feature Selection workflow in R

Description

This function plots the Standard Desviation, Proportion of Variances, Accumulative Variance for each Principal Component, it returns a set of plots.

Usage

plot_pca(features, class, center = TRUE, scale = TRUE, list.plot = TRUE)

Arguments

features	A numeric matrix as input.
class	Response variable as numeric vector.
center	Must the features be centered (default TRUE).
scale	Must the features be scaled (default TRUE).
list.plot	If TRUE (default), return a list the plots summarizing the PCA process. If FALSE, return a simple plot (PC1 vs. PC2).

Value

A list of plots.

enriquea/feseR documentation built on March 30, 2021, 4:12 p.m.