The standard chisq.test() and fisher.test() functions, when applied to two distributions (to determine whether the same underlying distribution applies to both) requires one to pre-bin the distributions.
Is there a library function (either built-in or in a package) that acts more like the ks.test() function, in that one can simply pass the two distributions and have it do the necessary binning as well as the actual statistical test? (Yes, you can accuse me of laziness: I just don't fancy trying to figure out a routine that would make sure that there more than 5 samples in each of the expected bins before applying the chi-squared test. It seems too much like re-inventing an elementary wheel that must have been invented by someone else.) ______________________________________________ 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.
