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sca (version 0.9-2)
Simple Component Analysis
Description
Simple Component Analysis (SCA) often provides much more interpretable components than Principal Components (PCA) while still representing much of the variability in the data.
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0.9-2
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Install
install.packages('sca')
Monthly Downloads
281
Version
0.9-2
License
GPL (>= 2)
Maintainer
Martin Maechler
Last Published
February 2nd, 2024
Functions in sca (0.9-2)
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nextdiff
Compute the Next Simple Difference-Component for SCA
percent
Simple Formatting of Percentages
corcomp
Covariance and Correlation Matrix of Components P on S
firstpcres
First Principal Component of Residuals given Components
reflexesC
Human Reflexes Correlation Data
hearlossC
Hearing Loss Correlation Data
maxmatrix
Largest Element in Correlation Matrix
sortmatrix
Sort Simple Component Matrix
pitpropC
Pitprops Strength Correlation Data
sca
Simple Component Analysis -- Interactively
quickcrit
Additional Contribution of New Component to the SC System
agglomblock
Agglomerate Two Block-Components in SCA
allcrit
Simple Component Quality Criterion Computation
shrinkdiff
Shrink Component Towards a Simple Difference-Component in SCA
simpvector
Simplify a (Principal Component) Vector to a Simple Component