svdvis-package: Singular Value Decomposition Visualization

Description Details Author(s)

Description

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

Details

Package: svdvis
Type: Package
Version: 1
License: GPL-2
Depends: ggplot2, GGally, gridExtra, scales, reshape2, RColorBrewer, grDevices

Providing convenient visualization functions for paired scatterplots, heat maps, parallel coordinates, and radial coordinates. The package is developed for the outputs from singular value decompositions (SVD), principal component analysis (PCA), factor analysis (FA), and related methods. Particularly, it focuses on exploring and visualizing multidimensional vectors (singular vectors, principal components, or factors) from dimension reduction techniques or latent variable models.

Author(s)

Neo Christopher Chung [email protected]


ncchung/svdvis documentation built on May 23, 2019, 1:05 p.m.