deflate_mtx: Matrix Deflation

In EvaYiwenWang/PLSDAbatch: PLSDA-batch

Matrix Deflation

Description

This function removes the variance of given component t from the input matrix X.

\hat{X} = X - t (t^{\top}t)^{-1}t^{\top}X

It is a built-in function of PLSDA_batch.

Usage

deflate_mtx(X, t)

Arguments

X	A numeric matrix to be deflated. It assumes that samples are on the row, while variables are on the column. NAs are not allowed.
t	A component to be deflated out from the matrix.

Value

A deflated matrix with the same dimension as the input matrix.

Author(s)

Yiwen Wang, Kim-Anh Lê Cao

References

\insertRef

barker2003partialPLSDAbatch

Examples

# A built-in function of PLSDA_batch, not separately used.
# Not run
data('AD_data')
library(mixOmics)
library(TreeSummarizedExperiment)

X <- assays(AD_data$EgData)$Clr_value
ad_pca <- pca(X, ncomp = 3)
# the matrix without the information of PC1:
ad.def.mtx <- deflate_mtx(X, ad_pca$variates$X[ ,1])

EvaYiwenWang/PLSDAbatch documentation built on Jan. 19, 2024, 11:19 p.m.