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 <jasonkrup...@yahoo.com> wrote:
From: Jason Rupert <jasonkrup...@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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