pca: Perform a PCA rebust analisys un er a input data frame.

In adrianmarino/commons: commons

Description

Perform a PCA rebust analisys un er a input data frame.

Usage

pca(df, scale = TRUE, robust = "MVE", nsamp = 10)

Arguments

df	a input dataframe.
scale	scale variables before apply PCA analisys.
robust	select PCA method (S-estimator, MCD, or MVE).
nsamp	The number of subsamples that the robust estimator should use. This defaults to 10 times the number of rows in the matrix.

Value

a pca analisys result.

adrianmarino/commons documentation built on Dec. 18, 2021, 10:30 p.m.