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.

Install the latest version of this package by entering the following in R:
install.packages("prinsimp")
AuthorDavor Cubranic, Jonathan Zhang, Nancy Heckman, Travis Gaydos, and J.S. Marron
Date of publication2013-11-02 01:21:46
MaintainerDavor Cubranic <cubranic@stat.ubc.ca>
LicenseAGPL-3
Version0.8-8

View on CRAN

Files

inst
inst/doc
inst/doc/Prinsimp-introduction.Rnw
inst/doc/Prinsimp-introduction.pdf
NAMESPACE
demo
demo/periodic.R
demo/00Index
data
data/caterpillar.RData
R
R/periodic.R R/plot.R R/print.R R/simpart.R R/divided-differences.R
vignettes
vignettes/Makefile
vignettes/Prinsimp-introduction.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/prinsimp-package.Rd man/simpart.Rd man/varsimp.Rd man/basisplot.Rd man/varperc.Rd man/summary.simpart.Rd man/print.simpart.Rd man/caterpillar.Rd man/plot.simpart.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.