centerDataTwoGroupsByIndices: Center Each Column by Subtracting Group Means

In jointMeanCov: Joint Mean and Covariance Estimation for Matrix-Variate Data

Description

This function takes a data matrix and returns a centered data matrix. For each column, centering is performed by subtracting the corresponding group mean from each entry (i.e. for entries in group one, the group one mean is subtracted, and for entries in group two, the group two mean is subtracted).

Usage

centerDataTwoGroupsByIndices(X, group.one.indices, group.two.indices)

Arguments

X	a data matrix.
group.one.indices	indices of observations in group one.
group.two.indices	indices of observations in group two.

Details

Example

X <- matrix(1:12, nrow=4, ncol=3)
X.cen <- centerDataTwoGroupsByIndices(
  X, group.one.indices=1:2, group.two.indices=3:4)

Value

Returns a centered data matrix of the same dimensions as the original data matrix.

jointMeanCov documentation built on May 6, 2019, 1:09 a.m.