wrapperSVD: Singular Value Decomposition of a Matrix

Description Usage Arguments Value See Also

Description

Wrapper function from the FactoMineR package to perform Singular Value Decomposition of a matrix. This function is called internally by MFA and is not usually called directly by a user.

Usage

1
wrapperSVD(X, rWeights=NULL, cWeights=NULL, ncp=Inf)

Arguments

X

a numeric matrix.

rWeights

vector with the weights of each row (NULL by default and the weights are uniform).

cWeights

vector with the weights of each column (NULL by default and the weights are uniform).

ncp

the number of components kept for the outputs.

Value

A list that contains the following components:

vs

a vector containing the singular values of X.

U

a matrix whose columns contain the left singular vectors of X.

V

a matrix whose columns contain the right singular vectors of X.

See Also

svd, svd.triplet


GonzalezIgnacio/HandlingMissRows documentation built on Jan. 17, 2020, 6:29 p.m.