pca: Principal Component Analysis

In gemR: General Effect Modelling

Principal Component Analysis

Description

This function performs Principal Component Analysis (SCA) on a GEM/hdanova object.

Usage

pca(object)

Arguments

object

A GEM/hdanova object.

Value

An updated GEM/hdanova object with PCA results.

See Also

Analyses using GEM: elastic, pca, sca, neuralnet, pls. Confidence interval plots: confints. Convenience knock-in and knock-out of effects: knock.in.

Examples

# Load candies data
data(candies, package="HDANOVA")

# Basic HDANOVA model with two factors
mod <- GEM(assessment ~ candy + assessor, data=candies)
mod <- pca(mod)
scoreplot(mod)

gemR documentation built on Sept. 9, 2025, 5:57 p.m.