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Namens RFTW
Verzonden: vrijdag 19 september 2008 8:16
Aan: r-help@r-project.org
Onderwerp: Re: [R] Mixed effects model with binomial errors - problem
anyone?
RFTW wrote:
>
> ok... the model now runs properly (say, without errors). Now about the
>
anyone?
RFTW wrote:
>
> ok... the model now runs properly (say, without errors). Now about the
> result.
> These are the averages per treatments
>
> tapply(VecesArbolCo.VecesCo.C1,T2,mean)
> a b c d
> 0.49 0.56 0.45 0.58
>
>
> I run this very simple model
>
>> summary(model
ok... the model now runs properly (say, without errors). Now about the
result.
These are the averages per treatments
tapply(VecesArbolCo.VecesCo.C1,T2,mean)
a b c d
0.49 0.56 0.45 0.58
I run this very simple model
> summary(model1<-lmer(cbind(VisitsExpTree,TotalVisits-VisitsEx
RFTW nioo.knaw.nl> writes:
>
>
> ok, the model does run now!
>
> but, dont i need the method="ML" when i want to compare this model with a
> reduced model using anova(model1, model2)? The R-Book tells me that REML is
> not good for that (p.635)
maximum likelihood ("ML") is the default [an
ok, the model does run now!
but, dont i need the method="ML" when i want to compare this model with a
reduced model using anova(model1, model2)? The R-Book tells me that REML is
not good for that (p.635)
So, besides that... how do i now do a sort of posthoc test to see 1)
estimates of all trea
RFTW nioo.knaw.nl> writes:
> Our question is if the proportion of visits to the experimental tree, in
> relation to the total number of visits to both trees differs between
> treatments.
>
> We have made treatment and individual into a factor
> All individuals were subjected to a maximum of 4
Hi,
We released individual birds into a room with 2 trees. We counted the number
of visits to each of the 2 tree. One of the trees is always a control tree
and the other tree is either treatment 1, treatment 2 or treatment3 or
treatment 4.
Ind Treat ContrTree ExpTree Total visits
1
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