I refer to a multivariate model. For example, I have two groups (control and test) and multiple variables measured for each (V1, V2, V3... Vn). I wasn't sure if there was any way to conduct power analysis other than conducting it as you would with a single variable and just account for multiple testing. I will look into the Clinical Trials Task view. If there any recommendations by others or generally approach to multivariate power calculations I would love to hear them.
Thanks again Marc, Charles On Thu, Mar 7, 2013 at 6:28 AM, Marc Schwartz <marc_schwa...@me.com> wrote: > On Mar 6, 2013, at 10:50 PM, Charles Determan Jr <deter...@umn.edu> wrote: > > > Generic question... I am familiar with generic power calculations in R, > > however a lot of the data I primarily work with is multivariate. Is > there > > any package/function that you would recommend to conduct such power > > analysis? Any recommendations would be appreciated. > > > > Thank you for your time, > > > > Charles > > > > Are you referring to a multivariate response or a multivariable model? > Just trying to parse the terminology better. > > If the former, I don't believe that there is anything in R, but could be > wrong. If correct, then you might want to look at simulation. > > If the latter, you might want to look at the Clinical Trials Task View: > > http://cran.r-project.org/web/views/ClinicalTrials.html > > as there are various packages that might fit what you need, but again, > simulation is always an option. > > Regards, > > Marc Schwartz > > -- Charles Determan Integrated Biosciences PhD Student 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.
