R help - Mar 2008 - non-linear correlation

Hi all!

 

This is a rather statistical question; 

Which effect sizes (parametric or not) could I use in order to estimate
the amount of non-linear correlation between 2 variables? 

Is it possible to correct for auto-correlation within the correlated
times series? 

Any suggestions for the appropriate packages/ functions are more than
welcome!!

 

Thank you!


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> Which effect sizes (parametric or not) could I use in order to estimate
> the amount of non-linear correlation between 2 variables? 
> 
> Is it possible to correct for auto-correlation within the correlated
> times series? 
> 
I think the starting point is to develop a model, even conceptual, of how
you expect them to be related. If you've already determined that they are
related, and in a way that's nonlinear, then you can probably come up with a
model. "Effect size" will be dependent on the model, but in a
nonlinear
model it won't be as simple as "y goes as x goes".

I can't see what you mean concerning the autocorrelation, but if this is a
time series problem your first question is then a mystery to me. You might
do well to read the posting guide for the mailing list and provide an
example.

-----
David Hewitt
Virginia Institute of Marine Science
http://www.vims.edu/fish/students/dhewitt/
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