pca_ind_contrib: Compute individual contributions
In booklet: Multivariate Exploratory Data Analysis

pca_ind_contrib

R Documentation

Compute individual contributions

Description

Return individual contributions for each principal component

Usage

pca_ind_contrib(
  ind_coords,
  eigs,
  weighted_row = rep(1, nrow(ind_coords))/nrow(ind_coords)
)

Arguments

`ind_coords`	individual coordinates
`eigs`	eigs computed by `pca_eigen` or `pca_weighted_eigen`
`weighted_row`	row weights

Details

If you want to compute the contributions of the individuals to the principal components, you have to change the weighted_col argument to rep(1, nrow(ind_cos2)).

Value

A dataframe of individual contributions.

Examples

library(booklet)

eigs <- iris[, -5] |>
  pca_standardize_norm() |>
  pca_weighted_eigen()

eigs |>
  pca_ind_coords() |>
  pca_ind_contrib(eigs) |>
  head()

booklet documentation built on June 8, 2025, 11:40 a.m.