[R-sig-ME] random effects specification

Sebastian P. Luque spluque at gmail.com
Tue Apr 8 20:13:17 CEST 2008

On Tue, 8 Apr 2008 19:31:08 +0200,
"Reinhold Kliegl" <reinhold.kliegl at gmail.com> wrote:


> Treatment b is significanlty higher, c is at the same level, and d is
> again significantly higher than treatment a. (With t-values of 13 we
> may say that even without HPD intervals.)

Of course, what was I thinking!  Thanks.

> The same is true for community B, except that here treatment b and d
> are significantly lower than a and that what the estimates tell you.
> If you learn how to combine estimates, you can derive the pattern of
> means directly from your first analyses.

You mean using approaches as those used in estimable() from the gmodels
package?  If so, is that equivalent to doing a separate analysis for
each level of community with mixed models?  I think it isn't for fixed
effects only models.



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