Well, it seems like I may need to use a few different correlation coefficient tests:
(1) For the Nominal scale to Interval Scale, I may need to be using the Point-biserial correlation coefficients (rpb).  It turns out that the ltm Package calculates that correlation coefficient.   Will be trying ltm out tomorrow...(unless there is a more standard/prefered method - still learning about such things)

(2) For the Ordinal scale to Interval scale, I am still looking for a correlation coefficient test that will allow those two to be compared.   Any suggestions there are really appreciated.

Thanks again for all the feedback, and I continue to be amazed by all the capability that is present within the user added R packages and native capability.  

Cheers.



--- On Tue, 3/3/09, Jason Rupert <jasonkrupert@yahoo.com> wrote:
From: Jason Rupert <jasonkrupert@yahoo.com>
Subject: [R] Package for determining correlation for mixed "Level of Measurement"
To: R-help@r-project.org
Date: Tuesday, March 3, 2009, 9:38 PM

My data set has a mixed level of measurement:
Nominal scale - location (city)
Ordinal scale - temperature (low, medium, high)
Interval scale - age & value

Just curious if there is an R package available that will handle the mixed
"Level of Measurement".

Looking to do graphical presentation of the correlation and also a qualitative
analysis of the correlation.  

Thanks again for any info and feedback.   






      
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