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prinsimp

Finding and plotting simple basis vectors for multivariate data

Provides capabilities beyond principal components analysis to focus on finding structure in low variability subspaces. Constructs and plots simple basis vectors for pre-defined and user-defined measures of simplicity.

Functions (9)

basisplot

Basisplot method for Simple Partition

caterpillar

Kingsolver et al. caterpillar estimated covariance

plot.simpart

Plot method for Simple Partition

prinsimp-package

plyr: the split-apply-combine paradigm for R.

print.simpart

Print method for Simple Partition

simpart

Simple Partition

summary.simpart

Summary method for Simple Partition

varperc

Varperc method for Simple Partition

varsimp

Varsimp method for Simple Partition

prinsimp

Finding and plotting simple basis vectors for multivariate data

v0.8-8

AGPL-3

Authors

Davor Cubranic, Jonathan Zhang, Nancy Heckman, Travis Gaydos, and J.S. Marron

Initial release

2013-11-01

prinsimp

Functions (9)

prinsimp

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