pca_eigen {booklet}R Documentation

Compute eigenvalues and eigenvectors

Description

Return eigenvalues and eigenvectors of a matrix

Usage

pca_eigen(X)

pca_weighted_eigen(
  X,
  weighted_row = rep(1, nrow(X))/nrow(X),
  weighted_col = rep(1, ncol(X))
)

Arguments

X

X_active

weighted_row

row weights

weighted_col

column weights

Details

Standardization depends on what you need to perform factor analysis. We implemented two types:

Value

A list containing results of Single Value Decomposition (SVD).

Examples

library(booklet)

iris[, -5] |>
  pca_standardize_norm() |>
  pca_eigen()

[Package booklet version 1.0.0 Index]