wrapperSVD: Singular Value Decomposition of a Matrix

In missRows: Handling Missing Individuals in Multi-Omics Data Integration

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

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

missRows documentation built on Nov. 8, 2020, 5:27 p.m.