[R] How should I specify partially crossed random effects in lme?
gunter.berton at gene.com
Sun Nov 24 16:21:16 CET 2013
You are more likely to get a useful response on the r-sig-mixed-models
list rather than here.
On Sat, Nov 23, 2013 at 9:04 PM, Pradeep Babu S. <pradeep.babu at gmail.com> wrote:
> Dear all,
> I am new to R and would like your help with lme formula for partially
> crossed random effect in a random-intercept, random-slope model.
> In the longitudinal data I have, each subject (barring some dropouts) was
> tested at 5 different occasions. The standardized tests were administered
> by 3 different examiners, with 2 of them present at all occasions, and the
> 3rd one administering tests only on the last two occasions. The subjects
> were randomly assigned to the examiners.
> I tested the following models:
> anova(model1,model2) gives p<0.05 with better model fit for model2.
> I would like to know if model2 is the correct way to specify the partially
> crossed random effect in the data I described.
> Pradeep Babu
> [[alternative HTML version deleted]]
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> and provide commented, minimal, self-contained, reproducible code.
Genentech Nonclinical Biostatistics
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