Sorry for not being preciser !

Ok, you are correct I'm not dealing with time series. The data set is
assumed to have more than one suject with repeated measures observed over
time.

I'm interested in testing  for correlation of two variables across subjects.

cheers,
Ardo.


On Thu, Jun 30, 2011 at 10:11 PM, <Tom_Philippi@nps.gov> wrote:

> Given you wrote about repeated measures and not time series, I assume you
> have more than one subject, site, or whatever your unit is, each observed
> repeatedly over time.
>
> Are you interested in correlations between your variables across subjects,
> within subjects over time, or something else?  Without more specification,
> I don't think that anyone can give you a reasonable answer.
>
> Tom
>
> -------------------------------------------
> Tom Philippi, Ph.D.
> Quantitative Ecologist
> Inventory and Monitoring Program
> National Park Service
> c/o Cabrillo National Monument
> 1800 Cabrillo Memorial Dr
> San Diego, CA 92106
> (619) 523-4562
> Tom_philippi@NPS.gov
> http://science.nature.nps.gov/im/monitor
> -------------------------------------------
>
>
>
>
>             Ndjido Ardo BAR
>             <ndjido@gmail.com
>             >                                                          To
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>                                                                   Subject
>                                       [R-sig-ME] test for correlation in
>             06/30/2011 10:03          a mixte model
>             PM ZE2
>
>
>
>
>
>
>
>
>
> Hi folks,
>
> In a longitudinal data set (with repeated measures) how could we test for
> correlation between two variables? The first thing that come to my mind is
> to fit a multivariate mixte model where a correlation structure is
> specified
> in the random part; and then perform a Log Ratio Test.
> What do you thing about this idea?
> Does anyone have another solution?
>
> Cheers,
> Ardo.
>
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