Visualize singular value decompositions (SVD), principal component analysis (PCA), factor analysis (FA) and related methods.
|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.
Neo Christopher Chung [email protected]
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