[R-sig-eco] GLM mixed model with quasibinomial family

[Etienne Laliberté]

Hi Javier, see:

  https://stat.ethz.ch/pipermail/r-help/2006-May/094765.html

Cheers

Etienne

Le mercredi 28 juillet 2010 à 18:44 +0200, Javier Martinez a écrit :
> Dear R-users,
> 
> I am using the 'lmer' function from package 'lme4', looking for a
> regression model which takes into account the grouped nature of my
> data. I am using frequencies as the dependent variable and percentages
> as the independent one. After some reading I think I should use the
> 'quasibinomial' family because there is 'overdispersion' in my data
> set (greater residual deviance than residual degrees of freedom). So,
> I test this regression model but I do not get a significance p-value
> for the regression! I have to test many different regressions with
> different data, so how can I assess the significance of each of of
> them?
> 
> Thank you very much for your help!
> 
> Javier
> 
> _______________________________________________
> R-sig-ecology mailing list
> R-sig-ecology at r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology


-- 
Etienne Laliberté
================================
School of Forestry
University of Canterbury
Private Bag 4800
Christchurch 8140, New Zealand
Phone: +64 3 366 7001 ext. 8365
Fax: +64 3 364 2124
www.elaliberte.info