[R] function for between-groups covariance matrix?

[Prof Brian Ripley]

If this is a large dataset, you probably do not want the covariance matrix 
but some decomposition of it.  What are you intending to do with it?

If you look at the code for MASS:::lda.default you will see how 
discriminant analysis can be done more stably without ever computing the 
covarinace matrix.

But if you need it, it is simple: form the group means (see lda.default) 
and take their covariance (possibly weighted by group size, depending 
which definition you are using).

On Mon, 7 Apr 2008, toby wrote:

> Hi
>
> Is anyone aware if there is a function already available that calculates the
> between-groups COvariance matrix, say in a discriminant analysis setting, or in
> a manova setting.
>
> Maybe as a helper function to some other major function.
>
> Otherwise I would have to program it myself (probably resulting in some awkward
> code performing horribly on this large dataset).
>
> Thanks Toby
>
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-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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