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_schwartz@me.com> wrote:

> On Mar 6, 2013, at 10:50 PM, Charles Determan Jr <deter088@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

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