Thanks!!! I'll look into it!

On 20 February 2013 10:01, Alan Haynes <aghaynes@gmail.com> wrote:

> You could also check out the (G)LMM faq which has a section specifically
> for this with a couple of ways to get r2 values:
>
> http://glmm.wikidot.com/faq
>
> It also has loads of other useful info about (G)LMMs.
>
> Alan
>
> --------------------------------------------------
> Email: aghaynes@gmail.com
> Mobile: +41763389128
> Skype: aghaynes
>
>
> On 20 February 2013 09:44, Xavier Harrison <xav.harrison@gmail.com> wrote:
>
>> Ellen
>>
>> I would point you to Nakagawa & Shielzeth's recent paper in Methods in
>> Ecology & Evolution
>>
>> Nakagawa, Shinichi, and Holger Schielzeth. "A general and simple method
>> for obtaining R2 from generalized linear mixed‐effects models." Methods in
>> Ecology and Evolution (2012). doi: 10.1111/j.2041-210x.2012.00261.x
>> They have R code in the supplementary material giving you the tools you
>> need to calculate such values from your own models, including code to
>> simulate data for you to try it out on. Assuming you are dealing with
>> random intercepts models, this should be what you need. If you want to know
>> how much variance is explained the the fixed effects of your model, you
>> will want to calculate the 'marginal r squared', although they suggest that
>> understanding how much variance is explained by both fixed and random
>> effects (conditional r squared) is also of value.
>>
>> Hope this is of help
>>
>> Xav
>>
>>
>>
>>
>> ---------------------------------------------------------
>> Dr Xavier Harrison
>> BBSRC Postdoctoral Research Associate
>> Centre for Ecology and Conservation
>> University of Exeter
>> Tremough Campus
>> Penryn
>> Cornwall
>> TR10 9EZ
>> Tel: (01326) 371872
>> xav.harrison@gmail.com
>>
>>
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>>
>>
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>>
>>
>

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