[R-sig-eco] Question about poisson GLM
Bob O'Hara
bohara at senckenberg.de
Mon Oct 27 15:49:10 CET 2014
On 27/10/14 15:38, rosanna di maggio wrote:
> Dear all,
>
> I'm trying to perform a poisson GLM with lme4 using the number of
> individuals as dependent variable and i) years of study and ii) different
> study areas as factors... So far so good..
>
> But the results are quite curious... The estimates and standard errors are
> huge.. Is is normal? I don't think so...
>
>
> This is an example of what happen:
It's difficult to say without seeing that data, but a couple of things
spring to mind:
1. If the covariates are meant to be continuous, then did you centre and
scale them?
2. If they are meant to be factors, did you tell R this? e.g. anno <-
factor(anno).
Bob
>
> Call:
> glm(formula = NTOT ~ areaN * anno, family = poisson)
>
> Deviance Residuals:
> Min 1Q Median 3Q Max
> -3.7465 -1.0629 -0.5000 0.3132 6.8188
>
> Coefficients:
> Estimate Std. Error z value Pr(>|z|)
> (Intercept) 140.786646 27.766187 5.070 3.97e-07 ***
> areaN 71.479294 11.876992 6.018 1.76e-09 ***
> anno -0.069199 0.013823 -5.006 5.56e-07 ***
> areaN:anno -0.035572 0.005912 -6.017 1.78e-09 ***
>
>
>
>
> I cannot understand the reason of these results... Someone can help me?
>
>
>
> Thank you
>
> Rox
>
--
Bob O'Hara
Biodiversity and Climate Research Centre
Senckenberganlage 25
D-60325 Frankfurt am Main,
Germany
Tel: +49 69 7542 1863
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WWW: http://www.bik-f.de/root/index.php?page_id=219
Blog: http://blogs.nature.com/boboh
Journal of Negative Results - EEB: www.jnr-eeb.org
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