Dear fellow R-ussers, Thanks for your help on th AIC. I have yet an other question about logistic models. to buuild the model i used sevral packages, (MASS, nlme, binom), just to make sure i had all the tools at my disposal. now i would like to validat the model. ussing a cross validation tool. In a normal logistical case you get an error table giving the number of cases classified under 0/1 by the model, and a comparison with the real classification of the test sample.
table 1 glm 0 1 FALSE 8 14 TRUE 0 8 Apperently this is not the case when you have categorical data. Then you get an output for every interval of your predictor variable , and this is compared to the frequency of this variable, so it is very hard to interpred. table 2 glm 0 2 3 4 7 FALSE 1 0 0 1 1 TRUE 1 2 1 0 0 One of the problems is, not only that i can't interpret table 2, but also that it does not give reference to the number of test samples, wich is clear in table 1 ( 30 test samples). Kind regards, Tom. Tom Willems CODA-CERVA-VAR Department of Virology Epizootic Diseases Section Groeselenberg 99 B-1180 Ukkel Tel.: +32 2 3790522 Fax: +32 2 3790666 E-mail: [EMAIL PROTECTED] www.var.fgov.be Disclaimer: click here [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch 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.