[R-sig-ME] random factor variance
Ken Beath
ken at kjbeath.com.au
Wed May 20 11:09:32 CEST 2009
On 20/05/2009, at 11:43 AM, João R. wrote:
> Hello,
> I have recently used lme4 package to run a glmm, but a get 0 variance
> explained by the random effect. The model has 5 fixed effects, and I
> have
> run each of them separately and for two of them (F1, F3) I also get 0
> variance for the random effect. Do you have any ideas of what might be
> causing this? Is this kind of result to be expected?
> thanks
>
This means that the variance of the random effect needed to explain
your data is zero. The clusters vary by the same amount or less than
if there was a random effect, that is they can all be explained by
subject variation.
Ken
>
> Generalized linear mixed model fit by the Laplace approximation
> Formula: DV ~ F1 + F2 + F3 + F4 + F5 (1 | R1)
> Data: JD
> AIC BIC logLik deviance
> 203.2 225.9 -94.6 189.2
> Random effects:
> Groups Name Variance Std.Dev.
> R1 (Intercept) 0 0
> Number of obs: 190, groups: R1, 14
> Fixed effects:
> Estimate Std. Error z value Pr(>|z|)
> (Intercept) 1.8949 1.1869 1.596 0.11039
> F1 4.6740 2.4365 1.918 0.05507 .
> F2 -2.0657 0.7543 -2.739 0.00617 **
> F3 21.8036 8.8890 2.453 0.01417 *
> F4 1.0968 0.4874 2.250 0.02444 *
> F5 -1.7430 0.9583 -1.819 0.06894 .
>
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