apply_pca: Apply PCA for Null Space Removal

In bbuchsbaum/discursive: What the Package Does (One Line, Title Case)

Apply PCA for Null Space Removal

Description

Preprocess the data matrix to remove the null space using PCA and retain a number of principal components that explain at least var_retained proportion of variance.

Usage

apply_pca(X, var_retained = 0.95)

Arguments

X	Data matrix of size n x d (n samples, d features).
var_retained	Proportion of variance to retain (default is 0.95).

Value

A list containing:

X_pca	The transformed data matrix after PCA (n x d_pca).
rot	The PCA rotation/loadings matrix (d x d_pca).
fit	The PCA fit object from multivarious::pca.

bbuchsbaum/discursive documentation built on April 14, 2025, 4:57 p.m.