pca {gemR} | R Documentation |
Principal Component Analysis
Description
This function performs Principal Component Analysis (SCA) on a GEM
/hdanova
object.
Usage
pca(object)
Arguments
object |
A |
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)
[Package gemR version 1.2.1 Index]