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sca (version 0.9-0)

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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Version

Install

install.packages('sca')

Monthly Downloads

258

Version

0.9-0

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

September 2nd, 2015

Functions in sca (0.9-0)

firstpcres

First Principal Component of Residuals given Components
percent

Simple Formatting of Percentages
hearlossC

Hearing Loss Correlation Data
corcomp

Covariance and Correlation Matrix of Components P on S
agglomblock

Agglomerate Two Block-Components in SCA
simpvector

Simplify a (Principal Component) Vector to a Simple Component
sca

Simple Component Analysis -- Interactively
sca-internal

Internal Functions of Package sca
sortmatrix

Sort Simple Component Matrix
maxmatrix

Largest Element in Correlation Matrix
quickcrit

Additional Contribution of New Component to the SC System
nextdiff

Compute the Next Simple Difference-Component for SCA
pitpropC

Pitprops Strength Correlation Data
allcrit

Simple Component Quality Criterion Computation
shrinkdiff

Shrink Component Towards a Simple Difference-Component in SCA
reflexesC

Human Reflexes Correlation Data