Unbalanced ANOVA in R?

Hi all

I'm trying to complete a textbook example originally designed for SPSS
in R, and I therefore need to find out how to compute an unbalanced
ANOVA in R.

I did a search on the mailinglist archives an found a post by Prof.
Ripley saying one should use the lme function for (among other things)
unbalanced ANOVAs, but I have not been able to use this object.
My code gives me an error.. Why is that ?

aov(lme(DELAY ~ DOSE + TRIALS,data=epinuneq))
Error in getGroups.data.frame(dataMix, groups) :
	Invalid formula for groups

Any ideas? How do I get an ANOVA computation that can handle uniqual
sampe sizes in R?

I said use lme, *not* aov and lme.  Note, though, that the advice applied
to multistrata unbalanced anova, and this appears to be a two-way layout in
one stratum.  You can use aov for that. (You can't use lme unless there are
two or more strata.)  Just be careful how you interpret the output: in SAS
parlance aov gives you `Type I' sums of squares.

The reason why this is more difficult in R is that R unlike SPSS does not
guess which of the many possible interpretations you mean.  We would need
to know a lot more about the actual statistical problem to tell you what
would be a good analysis in R.

Maybe you should look at a textbook designed for use with S/R not SPSS?

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)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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