removePrincipalComponents: Remove leading principal components from data

In WGCNA: Weighted Correlation Network Analysis

Remove leading principal components from data

Description

This function calculates a fixed number of the first principal components of the given data and returns the residuals of a linear regression of each column on the principal components.

Usage

removePrincipalComponents(x, n)

Arguments

x	Input data, a numeric matrix. All entries must be non-missing and finite.
n	Number of principal components to remove. This must be smaller than the smaller of the number of rows and columns in x.

Value

A matrix of residuals of the same dimensions as x.

Author(s)

Peter Langfelder

See Also

svd for singular value decomposition, lm for linear regression

WGCNA documentation built on Jan. 22, 2023, 1:34 a.m.