Re: [R] interpreting interactions in a model

The Predict.Plot function in the TeachingDemos package can help you visualize interactions. It will work best if Month is treated as a continuous variable. -- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 -Original

Re: [R] interpreting interactions in a model

Thanks, I´ve found the differencies with a posteriori tests. I don't put the term month because it is not significant. - Mario Garrido Escudero PhD student Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola Universidad de Salamanca -- View this message in context:

Re: [R] interpreting interactions in a model

Hi: On Wed, Aug 17, 2011 at 1:56 AM, gaiarrido gaiarr...@usal.es wrote: Hi, I´ve got this model model-glm(prevalence~agesex+agesex:month,binomial) and the output of anova is like that anova(model,test=Chisq)                          Df Deviance Resid. Df Resid. Dev P(|Chi|) NULL