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This function performs Simultaneous Component Analysis (SCA) on a hdanova object.
hdanova
sca(object)
An updated hdanova object with SCA results.
A hdanova object.
Analyses using GEM: elastic, pca, sca, neuralnet, pls. Confidence interval plots: confints. Convenience knock-in and knock-out of effects: knock.in.
GEM
elastic
pca
sca
neuralnet
pls
confints
knock.in
# Load candies data data(candies, package="HDANOVA") # Basic HDANOVA model with two factors mod <- GEM(assessment ~ candy + assessor, data=candies) mod <- sca(mod) scoreplot(mod)
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