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
Parcels: Room 102 Gilmer Hall
McCormick Road Charlottesville, VA 22903
Office: B011 +1-434-982-4729
Lab: B019 +1-434-982-4751
Fax: +1-434-982-4766
WWW: http://www.people.virginia.edu/~mk9y/
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