I haven't done much with the type of data you're working with, but here is a post that lists a few packages for doing sample size calculations in R. Perhaps one of them will be helpful.
https://stat.ethz.ch/pipermail/r-help/2008-February/154223.html Andrew Miles On Sep 27, 2010, at 2:09 PM, Paul Miller wrote: > Hello Everyone, > > I'm trying to conduct a couple of power analyses and was hoping > someone might be able to help. I want to estimate the sample size > that would be necessary to adequately power a couple of non- > inferiority tests. The first would be a log-rank test and the second > would be a Wilcoxon rank-sum test. I want to be able to determine > the sample size that would be necessary to test for a 3 day > difference in median recovery time between 2 groups of cancer > patients. > > Both of these tests are infeasible using SAS Proc Power and I > haven't been able to find information about how to do them using > either SAS or R. > > Does anyone know how to perform either of these calculations? If so, > I'd greatly appreciate it if you could share a couple of examples. > > > Thanks, > > Paul > > > [[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. [[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.
