Because you have two dependent variables, you'll want to to use a multivariate logit. mlogit does this, but I don't know the syntax off hand.
If you just wanted to look at one dependent variable, it would be the following (which Alex said) glm(y~x1*x2,family='binomial') On Mon, Apr 25, 2011 at 3:28 PM, Megan <aforkonapl...@hotmail.com> wrote: > > Hello, > > I am trying to run a generalized linear model but do not know where to > begin. I have attached my data to R but do not know where to go from there. > I have two independent variables (each has two factors associated with them) > and two dependent variables, each with either a yes/no response which I've > valued either 0 or 1 in the data set. Any input would be greatly > appreciated. > > -- > View this message in context: > http://r.789695.n4.nabble.com/Generalized-Linear-Model-tp3473924p3473924.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. ______________________________________________ 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.