[R] unhappy with aov performance
Wilhelm B. Kloke
wb at vestein.arb-phys.uni-dortmund.de
Mon Jul 15 16:10:33 CEST 2002
As the subject says, I am unhappy with R's aov performance. I have a
set containing 25000 cases. This causes thrashing even with very
formulae, because the model matrix has quite a lot of lines.
The study has 9x3x2x2x2 (or so) design factors. Is there a recommended
method for pre-condensing the data before inputting them into aov in R?
I want to be able to preserve the person factor (42) for further
I could try to aggregate the response variables for all and use a count
for weighting them.
AFAIS, in principle the cases could be submitted seqentially to the
process avoiding the explicit building of the model matrix. Is anybody
on this in R context?
Dipl.-Math. Wilhelm Bernhard Kloke
Institut fuer Arbeitsphysiologie an der Universitaet Dortmund
Ardeystrasse 67, D-44139 Dortmund, Tel. 0231-1084-257
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