Anova with repeated measures for unbalanced design

Frodo Jedi <frodo.jedi <at> yahoo.com> writes:

Dear all,
I need an help because I am really not able to find over 
internet a good example
in R to analyze an unbalanced table with Anova with 
repeated measures.
For unbalanced table I mean that the questions are 
not answered all by the same 
number of subjects.

For a balanced case I would use the command 

aov1 = aov(response ~ stimulus*condition + 
 Error(subject/(stimulus*condition)), 
data=scrd)

I recommend that you find a copy of Pinheiro and Bates 2000 ...

Does the same code still work for unbalanced design?

No, it doesn't.

Can anyone provide a R example of code in order to get the same analysis?

Something like

library(nlme)
lme1 <- lme(response~stimulus*condition,random=~1|subject,data=scrd)

or possibly

lme1 <- lme(response~stimulus*condition,random=~stimulus*condition|subject,
   data=scrd)

if your experimental design would allow you to estimate stimulus and condition
effects for each subject.

  Further questions along these lines should probably go to
the r-sig-mixed-model mailing list.

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