centerDataTwoGroupsByModelSelection {jointMeanCov} | R Documentation |
Center Each Column Based on Model Selection
Description
This function takes a data matrix and returns a centered data
matrix. For columns with indices in within.group.indices
,
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). For other columns, global
centering is performed (i.e. subtracting the column mean from
each entry).
Usage
centerDataTwoGroupsByModelSelection(X, group.one.indices,
group.two.indices, within.group.indices)
Arguments
X |
a data matrix. |
group.one.indices |
indices of observations in group one. |
group.two.indices |
indices of observations in group two. |
within.group.indices |
indices of columns on which to perform group centering. |
Details
Example
X <- matrix(1:12, nrow=4, ncol=3) # Group center the first two columns, globally center # the third column. X.cen <- centerDataTwoGroupsByModelSelection( X, group.one.indices=1:2, group.two.indices=3:4, within.group.indices=1:2)
Value
Returns a centered data matrix of the same dimensions as the original data matrix.
[Package jointMeanCov version 0.1.0 Index]