Bert Gunter gene.com> writes:
>
> This almost certainly has nothing to do with mixed effects models per
> se. x1 and x2 are probably ( if what you see is not due to a few
> unusual values) correlated, so the standard decomposition into main
> and interaction effects does not have the usual meani
This almost certainly has nothing to do with mixed effects models per
se. x1 and x2 are probably ( if what you see is not due to a few
unusual values) correlated, so the standard decomposition into main
and interaction effects does not have the usual meaningful
interpretation (e,g, that you would g
I have two very strong fixed effects in a LMM (both continuous variables).
model <- lmer( y ~ time + x1+x2 + (time|subject))
Once I fit an interaction of these variables, both main effects
disappear and I get a strong interaction effect.
model <- lmer( y ~ time + x1*x2 + (time|subject))
I would l
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