random effects specification
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. Cheers,
Seb