Peter Dalgaard wrote:
However, the real crucial thing here is that SAS is de facto fitting a
mixed-effects model, with random effects being everything with Subject
inside. So, except for the GG/HF business, you should get something
similar if you try
summary(aov(vecData ~ facCond*facRoi + Error(facSubj/(facCond*facRoi)) ))
Hm...that worked. Didn't expect it to be that simple!
I had tried models that were almost the same, but I didn't try that one...
(If you want a closer parallel to the SAS approach, you have to wait
for the mlm extensions that I have planned. I'll get to the GG/HF
issue Real Soon Now.)
Well, I'll probably be the first one to be all over testing it!
Thanks a lot!
Bela
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