רננה לביא <renana.zeckbach <at> mail.huji.ac.il> writes:
> > if I have binomial Ancova like: > model<-glm(y~treatment*x, binomial) > summary(model) > how should I understand the output? > I want to know if I have interaction between the treatments and if the > regression is significant? > should I write: > summary(aov(model)) > or: > summary(glm(model))? > every summary give different answers. > thanks! > summary(model) is probably what you want. Neither summary(aov(model)) nor summary(glm(model)) makes much sense -- 'model' already contains the results of fitting the statistical model. In general, giving a more detailed example will get you better answers. Ben Bolker ______________________________________________ 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.
