Not knowing any more details about your experiment and data, we can only
speculate. If the reason (or part of the reason) that you need to run ANOVA
3 million times is that you have that many responses collected from the same
experiment (or several experiments, but not 3 million different
experiments), you should be able to do the ANOVA computation in R very
efficiently. E.g., assuming you actually have one experiment with 3m
responses, you can compute the hat matrix once and apply it to the response
matrix, rather than computing the same hat matrix 3M times.
Just a thought. HTH.
Andy
-Original Message-
From: Paul Litvak [mailto:[EMAIL PROTECTED]
Sent: Monday, August 18, 2003 2:18 PM
To: [EMAIL PROTECTED]
Subject: [R] type I and type III sums of squares
Hello-
I have been digging around in the FAQ's and online looking
for an answer
to my questions, and perhaps someone here can help me.
For a statistical experiment, I need to run 3,000,000 ANOVAs,
which is
taking me a very long time. As a result, I have recoded my
analyses in
C. However, I cannot find the formula to calculate either the
type I or
type III sums of squares (in the case of my model, the two are
equivalent). I know that the formula must be in the R source code, as
they are able to calculate it, but I am not sure where. Does
anyone know
where I can find the explicit procedure for calculating this? A
mathematical formula or the source code would be equally
helpful. I am
aware of the formula in matrix algebra, but is there a
formulation that
does not use matrix algebra?
thanks very much in advance,
Paul Litvak
Department of Human Genetics
University of Michigan
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