[R-sig-ME] Could we calculate the variance explained by each fixed variable when we use linear mixed model?

[Dan McCloy]

There is a discussion of variance explained on the Wiki:
http://glmm.wikidot.com/faq
See the section "How do I compute a coefficient of determination..."


On Sun, Dec 13, 2015 at 8:20 PM, 黄茹 <nefuitphuangru at gmail.com> wrote:
>      Can we calaulate the respective variance explained by each fixed
> variable when we use linear mixed model?
>
> Namely, for R code of linear mixed model: model=lmer(y~x1+x2+(1/x3),data),
> x1,x2 are fixed variables, and x3 is random effect. could we compute the
> variance of y explained by x1,x2, respective?
>
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