Not with R, but look for G*Power3, a free tool for power calc, includes FIsher's test.
http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3 On Mon, Nov 8, 2010 at 10:52 AM, Giulio Di Giovanni <perimessagg...@hotmail.com> wrote: > > > Hi, > I'm try to compute the minimum sample size needed to have at least an 80% of > power, with alpha=0.05. The problem is that empirical proportions are really > small: 0.00154 in one case and 0.00234. These are the estimated failure > proportion of two medical treatments. > Thomas and Conlon (1992) suggested Fisher's exact test and proposed a > computational method, which according to their table gives a sample size of > roughly 20000. Unfortunately I cannot find any software applying their method. > -Does anyone know how to estimate sample size on Fisher's exact test by using > R? > -Even better, does anybody know other, maybe optimal, methods for such a > situation (small p1 and p2) and the corresponding R software? > > Thanks in advance, > Giulio > > > > [[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. > ______________________________________________ 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.
