Søren Højsgaard wrote: > Using r2dtable() you can simulate general tables nxm with given margins. > Based on these you acn calculate a Monte Carlo p-value for a conditional test > for independence. > > Regards > Søren > fisher.test(...., simulate.p.value=TRUE) might be more direct. Also works for chisq.test().
And, contrary to popular belief, fisher.test() does work for larger than2x2 tables, although you may run into space/time limitations. -- O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ R-help@r-project.org 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.
