Learn R Programming

rtemis (version 0.79)

d.SVD: Singular Value Decomposition

Description

Perform SVD decomposition using base::svd

Usage

d.SVD(x, x.test = NULL, k = 2, nu = 0, scale = TRUE,
  center = TRUE, verbose = TRUE, ...)

Arguments

x

Input matrix

x.test

Optional test set matrix. Will be projected on to SVD bases

k

Integer: Number of right singular vectors to compute (svd's nv)

nu

Integer: Number of left singular vectors to compute

scale

Logical: If TRUE, scale input data before doing SVD. Default = TRUE

center

Logical: If TRUE, also center input data if scale is TRUE. Default = TRUE

verbose

Logical: If TRUE, print messages to screen. Default = TRUE

...

Additional parameters to be passed to svd

Value

rtDecom object

Details

Same solution as d.PCA

See Also

Other Decomposition: d.CUR, d.H2OAE, d.H2OGLRM, d.ICA, d.ISOMAP, d.KPCA, d.LLE, d.MDS, d.NMF, d.PCA, d.SPCA, d.TSNE, d.UMAP