[R-sig-ME] Comparison of predictors in lme4

[Chris Howden]

U could calculate prediction intervals.  The smaller the interval the
'better' the estimation.



Chris Howden
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On 26/04/2012, at 3:34, Eiko Fried <torvon at gmail.com> wrote:

> If I have two models:
>
>> m1 ~ lmer ( y1 ~ x1 + ( 1 | subject) )
>> m2 ~ lmer ( y2 ~ x1 + ( 1 | subject) )
>
> and
> m1: fixed effects t-value x1 = 25
> m2: fixed effects t-value x1 = 5
>
> is there a way to calculate whether there is a statistical difference in
> the prediction of y1 vs y2 by x1, i.e. whether y1 is predicted in a
> significantly stronger way by x1 that y2? Something like ... R or eta
> square maybe?
>
> Thank you
> Eiko
>
> (PS.: the solution of transforming the data and using a multivariate
> response y and then calculating the interaction y~y_type*x is an option I'm
> exploring currently, but I wonder what a solution would be in separate
> univariate models)
>
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>
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