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ASCA methods

asca()
Analysis of Variance Simultaneous Component Analysis - ASCA
print(<asca>) summary(<asca>) print(<summary.asca>) loadings(<asca>) scores(<asca>) projections()
ASCA Result Methods
loadingplot(<asca>) scoreplot(<asca>) permutationplot()
ASCA Plot Methods
asca_fit()
ASCA Fitting Workhorse Function
apca()
ANOVA Principal Component Analysis - APCA
msca()
Multilevel Simultaneous Component Analysis - MSCA
limmpca()
Linear Mixed Model PCA

Additional methods

pcanova()
Principal Components Analysis of Variance Simultaneous Component Analysis - PC-ANOVA
summary(<pcanova>) print(<summary.pcanova>) print(<pcanova>)
PC-ANOVA Result Methods
scoreplot(<pcanova>)
PC-ANOVA Result Methods
prc()
Principal Response Curves
permanova()
Permutation Based MANOVA - PERMANOVA

Utility functions

block.data.frame()
Block-wise indexable data.frame
dummycode()
Dummy-coding of a single vector
extended.model.frame()
Extracting the Extended Model Frame from a Formula or Fit
model.frame(<asca>) model.matrix(<asca>)
Model Frame and Model Matrix for ASCA-like Models
timeplot()
Timeplot for Combined Effects
update_without_factor()
Update a Model without Factor

Datasets

candies
Sensory assessment of candies.
caldana
Arabidopsis thaliana growth experiment