On Thu, 19 Jun 2003, Henric Nilsson wrote: > Dear all, > > I'm analyzing a binary outcome using glm() with a binomial distribution and > a logit link, and have now reached the point where I'd like to do some > model checking. Since my data are in binary form I'd like to collapse over > the cross-classification of the factors before the model checking. > > Are there any nice and simple ways doing this? If so, how? If not, I'd be > grateful for receiving some hints on how this can be accomplished.
Look at loglm1.data.frame in package MASS, or xtabs: each work by setting up a suitable call to table. If you want to sum up over cases with the same factors (not what is usually meant by collapsing), take a look at multinom (package nnet) which has options to do this for multinomials (and Bernoulli is a special case). -- 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
