[R] correspondence analysis question

[Data Analytics Corp.]

Hi,

I have a matrix of 31 rows and 8 columns.  The rows represent attributes 
of a product and the columns represent segments in a market.  The cell 
values are utilities scaled so that the sum of the utilities across 
attributes for a segment equals 100.  I want to find which attributes 
are closely related to which segments.  I ran a CA on the matrix and got 
an interesting plot.  For example, attributes 4 and 6 are "close" to 
segment 1 and rows 1 and 2 are "close" to segment 7.  Is there any way 
to calculate a measure of "closeness" from the ca output so that I can 
develop groups of attributes for each segment?  I'd like to be able to 
have a list of attributes for each segment and a weight on how important 
(close?) an attribute is for that segment.  Any suggestions?

Thanks,

Walt



-- 
________________________

Walter R. Paczkowski, Ph.D.
Data Analytics Corp.
44 Hamilton Lane
Plainsboro, NJ 08536
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(V) 609-936-8999
(F) 609-936-3733
dataanalytics at earthlink.net
www.dataanalyticscorp.com