Thank you Greg, However, would you be able to direct me to either an example or further information regarding simulations to measure power?
Charles On Thu, Jul 11, 2013 at 4:56 PM, Greg Snow <538...@gmail.com> wrote: > If there were a canned function for power for a non-parametric test, I > would not trust it. This is because there are many assumptions that would > need to be made and I would not know if those in a canned function were > reasonable for my study. > > I would compute power by simulation. Simulate data sets that match what > you think the real data will/may look like, analyze the simulated datasets > and see what proportion give significant results (that will be your power). > You can do this for different sets of assumptions to get a feel for how > the different assumptions affect your results. This way you know exactly > what assumptions you are making to get your power. > > > On Tue, Jul 9, 2013 at 2:18 PM, Charles Determan Jr <deter...@umn.edu>wrote: > >> Greetings, >> >> To calculate power for an ANOVA test I know I can use the pwr.anova.test() >> from the pwr package. Is there a similar function for the nonparamentric >> equivalent, Kruskal-Wallis? I have been searching but haven't come up >> with >> anything. >> >> Thanks, >> >> -- >> Charles Determan >> Integrated Biosciences PhD Candidate >> University of Minnesota >> >> [[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. >> > > > > -- > Gregory (Greg) L. Snow Ph.D. > 538...@gmail.com > -- Charles Determan Integrated Biosciences PhD Candidate University of Minnesota [[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.
