svdvis: Singular Value Decomposition Visualization

Visualize singular value decompositions (SVD), principal component analysis (PCA), factor analysis (FA) and related methods.

Install the latest version of this package by entering the following in R:
install.packages("svdvis")
AuthorNeo Christopher Chung
Date of publication2015-12-02 17:54:19
MaintainerNeo Christopher Chung <nchchung@gmail.com>
LicenseGPL-2
Version0.1

View on CRAN

Files

inst
inst/doc
inst/doc/svdvis-vignette.Rmd
inst/doc/svdvis-vignette.R
inst/doc/svdvis-vignette.pdf
NAMESPACE
R
R/svdvis.R R/svdvis-package.R R/radviz.R
vignettes
vignettes/svdvis-vignette.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/svd.heatmap.Rd man/radviz.Rd man/svdvis-package.Rd man/svd.radial.Rd man/svd.parallel.Rd man/svd.scree.Rd man/svd.scatter.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.