Dear R helpers,

I have a data frame
 > summary(emPat)

                    pairE          subj        pattern
  far-near             : 18   sub1   : 37   urb    :123
  long-short           : 18   sub2   : 37   bpb    : 72
  supported-unsupported: 18   sub3   : 37   prp    : 67
  large-small          : 18   sub4   : 37   brb    : 64
  dense-sparse         : 18   sub5   : 37   unp    : 62
  divergent-convergent : 18   sub6   : 37   pnp    : 44
  (Other)              :558   (Other):444   (Other):234

 > dim(emPat)
[1] 666   3

I have 37 types of pairE. 18 subjects placed each of the 37 pairEsinto  
one of 24 patterns (18 x 37 = 666). I would like to compute a matrix  
of profile similarities between the pairE. I was thinking of using  
mutual information as a measure of profile similarity.

Questions:

(1) Is there a tool to compute this matrix easily. If not what tools  
are there that I might adapt to this purpose?
(2) Can anyone recommend alternative ways of computing such profile  
similarities?
_____________________________
Professor Michael Kubovy
University of Virginia
Department of Psychology
USPS:     P.O.Box 400400    Charlottesville, VA 22904-4400
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         McCormick Road    Charlottesville, VA 22903
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WWW:    http://www.people.virginia.edu/~mk9y/



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