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svdvis (version 0.1)

svdvis-package: Singular Value Decomposition Visualization

Description

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

Arguments

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.