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.

Copy Link

Version

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)

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