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 524 206.97 agesex 2 9.9165 522 197.05 0.007025 ** agesex:month 9 18.0899 513 178.96 0.034145 * I don´t know how to interpret the interaction "agesex:month", my mind doubt between 2 options: a) For a giving group of "agesex" there are differences between months b)There are differences between groups of "agesex" in some months but not in others. Which option is correct? Thanks very much ----- Mario Garrido Escudero PhD student Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola Universidad de Salamanca -- View this message in context: http://r.789695.n4.nabble.com/interpreting-interactions-in-a-model-tp3749430p3749430.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.