[R] lme4 t value for 3 levels of fixed factor

[Henric (Nilsson) Winell]

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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