eigenvalue: Scaled Firts Singular Value of the SVD of a Matrix

Description Usage Arguments Value

View source: R/eigenvalue.R

Description

Obtain the scaled first singular value of the singular-value decomposition of a rectangular matrix X as computed by svd. Scaling is done by dividing the firts singular value by the root square of the number of rows in X. This function is internally called by MFA and is not usually called directly by a user.

Usage

1

Arguments

X

a numeric matrix whose SVD decomposition can be computed.

Value

The scaled first singular value of svd(X).


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