On 2012-07-27 05:50, Obermeier Andrew wrote:
Hello,
I just joined this list today, so am worried about proper protocol, but would
like to post a question about lme4.
The R-sig-mixed-models list
(https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models) may be a
better place for questions on lme4 and other packages fitting mixed
effects models.
In Baayen, Davidson, and Bates (2008), Mixed-effects modeling with crossed
random effects for subjects and items, the authors describe steps for a Latin
Square Design (p. 402) in which they compare 3 levels of the experimental
conditions. I am considering replicating this analysis for my dissertation, I
would also like to investigate 3 levels of my factor, but wish to confirm how
lme4 derives the t value.
It is my understanding that t values can only be used to compare 2 means. For 3
levels, does lme4 do some kind of pairwise comparison?
For pairwise comparisons, and other contrasts, take a look at the
'multcomp' package.
HTH,
Henric
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