Dear all, I am investigating diversity in different sites. I partitioned my measure of diversity into to additive components (Baselga 2012) and get for each site a value of overal diversity change (between 0 and 1) and a value for each additive component, such that for each site beta1+beta2=beta_total. I would like to make a regression model to test if the proportion of diversity due to beta1 (beta1/beta_total) is signifcantly different according to an explanatory factor. If beta1 had been an integer value, I would have used a binomial model. However, since beta1 is not an integer I don't think that I am allowed to use the formel glm(cbind(beta1,beta2)~x,family=binomial)? What alternative method could I use? I hope that my question is not too confuse. Thank you very much. Valérie ___________________________________________________________ C'est l'année du Serpent ! Connaissez-vous votre signe astral chinois ? Découvrez-le ici http://astrocenter.voila.fr/voila/Presentation.aspx?product=StEdCH2K2&Af=-3000
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