Dear John, > I also ran the same analysis in 2005 > (what has changed in the package polycor since then, I don't know) and the > results were different. I think back then I contrasted them with SAS > and they were the same.
John> I don't entirely follow this. Are you referring to the table above with one John> row, more generally to table with zero marginals, or to tables in which John> there are interior zeroes?> I have plenty of those tables, but I think quite a few of them have zero marginals (the case I posted might be a bit extreme). I have 400 observations, so no matter how centered the distributions are, some observations will be out of the center. The results I got in 2005 cannot be reproduced now in 2007 with the same code; I guess this could be due to this bug you describe (maybe it was introduced later?). In 2007, I got many correlations has high as the one I described and I was wondering what the problem was. I don't have SAS available anymore so I cannot run the code I wrote in SAS to compare. Where can I get the new code for polychor? I'm in a predicament here; the data I'm analyzing are from a flight simulation and are extremely expensive to get, so running more experiments is out of question. Any pointers as to how I could analyze this dataset? (i.e. one where there might be zero marginals?) Thanks -Jose ______________________________________________ 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.
