The short answer: use drop1(). The long(er) answer: think harder about what question(s) you want answered (i.e., what hypotheses you really want to test, and test only those). The model hierarchy says that a model should not have an interaction term involving a factor whose main effect is not present in the model. Seen in this light, the hypothesis you're trying to test involves a non-sensical model.
Andy > -----Original Message----- > From: Josef Frank [mailto:[EMAIL PROTECTED] > Sent: Thursday, March 06, 2003 6:14 PM > To: [EMAIL PROTECTED] > Subject: [R] type III Sum Sq in ANOVA table - Howto? > > > Hello, > > as far as I see, R reports type I sums of squares. I'd like > to get R to > print out type III sums of squares. > > e.g. I have the following model: > vardep~factor1*factor2 > > to get the type III sum of squares for factor1 I've tried > anova(lm(vardep~factor2+factor1:factor2),lm(vardep~factor1*factor2)) > but that didn't yield the desired result. > > Could anyone give me a hint how to proceed? > > thanks in advance > Josef > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > ------------------------------------------------------------------------------ ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
