Dear Henric, The following paper deals with goodness-of-fit test for sparse (and even binary) data:
Kuss O. Global goodness-of-fit tests in logistic regression with sparse data, Statist Med, 2002, 21:3789-3801. It should not too hard to write code for some non-standard and (probably under-used) GoF statistics... hope this helps you, best, vito ----- Original Message ----- From: Henric Nilsson <[EMAIL PROTECTED]> To: <[EMAIL PROTECTED]> Sent: Thursday, June 19, 2003 2:35 PM Subject: [R] Grouping binary data 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. Many thanks, Henric ---------------------------------------------------------------------------- ----------- Henric Nilsson, Statistician Statisticon AB, �stra �gatan 31, SE-753 22 UPPSALA Phone (Direct): +46 (0)18 18 22 37 Mobile: +46 (0)70 211 68 36 Fax: +46 (0)18 18 22 33 <http://www.statisticon.se> ______________________________________________ [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
