[R-sig-ME] warnings ranef and design of a binomial model
Robert.Espesser at lpl-aix.fr
Wed Sep 10 12:29:29 CEST 2008
Dear R users,
I have a question about model design.
One group of 20 subjects run the A experiment, with 17 binary responses by subject.
An other group of 20 subjects run the 2 experiments B and C, with 20 binary responses by subject,
for both of the 2 experiment.
I want to study the effect of the factor "expe"
I tried this covariance model:
mod.glmer <- glmer( vd ~ dlms*expe +(1|subject) +(0+dlms|subject) ,
dlms is a numeric factor (-2,-1,0, 1,2)
expe is a 3 levels factor , coding the experiment (A or B or C)
vd is the success/fail matrix.
The model with a random slope is clearly better than an intercept-only model.
the results look plausible, ranef(mod.glmer, postVar=T) was OK for the
Intercept, but failed
to compute the postvar of the random slope , with these warnings:
1: In min(x): no argument found for min; Inf is returned
It's the same for max.
I'm suspecting that my model is perhaps badly designed , concerning the
unbalanced repartition of the subjects across the experiments. Is it correct ?
Thanks for any comments or suggestions.
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