This is very basic stuff, so I think your main problem is statistical, not R related. Try posting on stats.stackexchange.com to get statistical advice or do some reading about differences in proportions, contingency tables, and the like.
Incidentally, off the top of my head, I'd say there's no evidence that the proportions are different. See if I'm right when you do the correct calculation. -- Bert On Fri, Feb 1, 2013 at 3:45 PM, Jin Choi <jin.hj.c...@gmail.com> wrote: > I am trying to figure out how to calculate p-values for the difference in > prevalence of a risk factor between men and women. For example, I find that > 277 out of 710 male patients and 125 out of 305 female patients have > obesity, what is the p-value for their difference? > > If there is a package that can calculate this in bulk, I would appreciate > to learn about it! > > Thank you > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.
