The second fit appeared to use a dataframe and the first did not. Try fit2<-glm(canc~id1+year1+time+lnpa,family=poisson, subset=-18)
On Mon, 17 Nov 2003, Marcos Sanches wrote: > > Hi all! > > I am fitting a Poisson model, using the following command: > > > fit2<-glm(canc~id1+year1+time+lnpa,family=poisson) > > > > where 'id1', 'year1' and 'time' are factors. I defined them with: > > > id1<-C(factor(id1), treatment) > > and 'lnpa' is a continuous variable. > > The 'summary' function gives me all the effects estimates, that is, for id1, > I end up with estimates for id12, id13 and id14, the id11 is the reference > level. That is fine, but when I try to fit the model without the point 18, > using the command line: > > > fit2<-glm(canc~id1+year1+time+lnpa,family=poisson, subset(dat, order!=18)) > > The 'summary' function stop to giving me the levels effect, and gives only > one effect for id1, one for year1, one for time and one for lnpa. I want to > have the parameters estimates for each level of each factor, as it was in > the first fit. Also, I noticed the degree of freedom of deviance and the > deviance itself has increased, so I cont't compare both models in terms of > their deviance. > > What should I do to have each factor level effect as I had in the first > case? > > Thanks > > Marcos > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
