[R-sig-ME] Model average error message

[Phillip Alday]

(Please keep the list in CC.)

The output of

get.models(models,subset=delta<5)

would be more interesting. Or even better:

lapply(get.models(models,subset=delta<5), formula)

So that we see which formulas are being labelled as identical.

Phillip

On 07/25/2018 04:56 PM, Helen McCallin wrote:
> Hi Phil
> 
> Thank you so much for your reply. Please find the codes I am using
> below. Is this what you mean?
> 
> ae <- read.csv(file=file.choose())
> 
> options(na.action="na.fail")
> 
> global.model<-glmer(
> 
>     
> cbind(numerator,total-numerator)~d+s+t+p+d:s:t:p+d:s:t+d:s:p+d:t:p+s:t:p+d:t+d:s+d:p+s:t+s:p+t:p+(1|random), 
> 
>      data=ae, family=binomial)   
> 
> options(max.print=1000000)
> 
> dredge(global.model,beta=c("none"),evaluate=TRUE,rank="AICc") 
> 
> ae.model <- glmer(
> 
>     
> cbind(numerator,total-numerator)~d+s+t+p+d:s:t:p+d:s:t+d:s:p+d:t:p+s:t:p+d:t+d:s+d:p+s:t+s:p+t:p+(1|random),
> 
>     data=ae,family=binomial)
> 
> models <- dredge(ae.model)  
> 
> summary(model.avg(get.models(models,subset=delta<5)))
> 
> 
> Many thanks for any help.
> 
> Best wishes
> 
> Helen
> 
> On 25 Jul 2018, at 13:50, Phillip Alday <phillip.alday using mpi.nl
> <mailto:phillip.alday using mpi.nl>> wrote:
> 
>> Hi Helen,
>>
>> model.avg() tells you which models are duplicates. What do the formulas
>> look like for those models? Seeing the formulae may help identify what
>> model.avg() gets stuck on.
>>
>> Best,
>> Phillip
>>
>> On 07/23/2018 11:33 AM, Helen McCallin wrote:
>>> Hi
>>>
>>>
>>> I am running a glmer model on a response variable with binomial
>>> distribution and random term. My data has 3 explanatory categorical
>>> variables and I have successfully run dredge() on them and their
>>> interactions to get AICc values.
>>>
>>>
>>> I want model averaging to provide output with coefficients and an
>>> index of relative importance of fixed effects from those models;
>>> within a delta constraint that I specify.I can get this using the
>>> code below for alternative datasets but not for this dataset.
>>>
>>>
>>> model.avg() produces this error message:
>>>
>>> Error in model.avg.default(get.models(models, subset = delta < 5)) :
>>> models are not unique. Duplicates: '2 = 3 = 4' and '10 = 11'
>>>
>>>
>>> This doesn't make sense, DREDGE does not (cannot) produce duplicate
>>> models – each model is a unique iteration within the full model, yet
>>> the error message indicates that MODEL AVERAGE identified ‘duplicate’
>>> models from within DREDGE output. R fails to run MODEL AVERAGE under
>>> these circumstances - producing no further output.
>>>
>>>
>>> Has anyone else experienced similar problem (with 'not unique',
>>> duplicate models) via MODEL AVERAGE?
>>>
>>>
>>> Is there a workaround for the error that prevents me running MODEL
>>> AVERAGE due to perceived ‘duplicate’ models in DREDGE?
>>>
>>>
>>> Many thanks for any help anyone can provide.
>>>
>>>
>>>
>>>    [[alternative HTML version deleted]]
>>>
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