[R-sig-ME] Large data set and mixed models

[Rense Nieuwenhuis]

Dear Michael,

perhaps you could send more details about the model you're trying to  
estimate, so we could be of help.

i.e.:
- What is the model specification
- What happens -> error message, uninterpretable findings?
- A closer description of the data
- What system are you trying to estimate this model with?

In general I wouldn't say the 100000 cases is 'huge' in terms of R- 
Project. Sure, some models will take some time to converge, but it  
should be doable.

If you'd send me (a sample of) your data, I'd be willing to take a  
look at it.

Kind regards,

Rense



On 17-okt-2008, at 15:02, Michael Beaulieu wrote:

> I would like two compare the diving behaviour of two groups of  
> penguins (7 penguin in each group). Each penguin performed several  
> dives within several foraging trips. As a result, I got a huge data  
> set of dives (nearly 100000).
> To compare the diving behaviour of the two groups, I used a mixed  
> model with:
> -the penguin as a random factor,
> -the number of dives nested in the foraging trip as a repeated factor,
> -the group, the foraging trip and maximal depth as fixed factors.
> Covariance structure was auto-regressive.
> I tried this model on SPSS, SAS and R but all failed.
>
> Has anybody been faced with such a huge dataset analysed with mixed  
> models?
>
> Thank you
>
> MiKL
>
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