Here are some examples from the archives: http://tolstoy.newcastle.edu.au/R/e4/help/08/02/2499.html
https://stat.ethz.ch/pipermail/r-sig-mixed-models/2009q1/001790.html https://stat.ethz.ch/pipermail/r-sig-mixed-models/2009q1/001819.html On Fri, Jul 12, 2013 at 6:57 AM, Charles Determan Jr <deter...@umn.edu>wrote: > 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 > -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com [[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.
