R help - Jul 2012 - expert opinion on lmer

Hello,

I have the following design, counts were collected at different transects,
different depths and different sites at different times. Time is continuous
and assumed to be random, all the others are categorical fixed where
transect is nested within depth which is nested within site.

 I would like an expert opinion about the following code where intercept is
modeled as random (I am not sure if this is the right way).

a<-factor(transect)
b<-factor(depth)
c<-factor(site)
g<-lmer(count~(1|time)+(time|a:b:c), family="poisson")

Thanks,
Y

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This should definitely be posted on the r-sig-mixed-models list, not here.

-- Bert

On Thu, Jul 19, 2012 at 6:16 AM, Yolande Tra <yolande.tra@gmail.com>
wrote:
> Hello,
>
> I have the following design, counts were collected at different transects,
> different depths and different sites at different times. Time is continuous
> and assumed to be random, all the others are categorical fixed where
> transect is nested within depth which is nested within site.
>
>  I would like an expert opinion about the following code where intercept is
> modeled as random (I am not sure if this is the right way).
>
> a<-factor(transect)
> b<-factor(depth)
> c<-factor(site)
> g<-lmer(count~(1|time)+(time|a:b:c), family="poisson")
>
> Thanks,
> Y
>
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>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
>


-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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