Message-ID: <loom.20121121T135454-859@post.gmane.org>
Date: 2012-11-21T12:56:57Z
From: Ben Bolker
Subject: Controlling the number of interactions of a lme
cleberchaves <cleberchaves <at> gmail.com> writes:
>
[snip]
> My model have many response variables and when i run the anova, the number
> of interactions (up to six) is great and the p-values of all variables not
> appear.
>
> I wanted to know if i could to control the number of interactions of the
[snip]
> v.is<-lme(is~direction*envir*region*hour*estom*esl, random=~1|ind/dir/reg,
> tabela)
> anova(v.is,test="F")
>
You probably want something like
is ~ (direction+envir+region+hour+estom+esl)^2
for example, which would include the main effects and all two-way
interactions. See the "Details" section of ?formula for a (terse)
description.