I need to calculate an index of predictive association, similar to Goodman and Kuskal's (1954) for a 2x2x2 array. I have two questions: 1) Is there an easy way to do this in R? (Of course, the answer to this kind of question is nearly always ``yes.'' Perhaps I should have asked, ``How can I do this in R?'') 2) Is it reasonable to try this with a 3-dimensional array? The way I thought of doing it (say, the variables are x, y, and z, with z being the outcome) involves calculating the probability of z_i conditional on knowing both x and y. This leads to some funny stuff, which makes me doubt if I'm doing it right. Perhaps I should condition on only one of x and y at a time? Any help would be appreciated. ______________________________________________________________________ Stuart Luppescu -=-=- University of Chicago $(B:MJ8$HCRF`H~$NIc(B -=-=- s-luppescu at uchicago.edu http://www.consortium-chicago.org/people/sl/sl.html PGP Public Key: www.consortium-chicago.org/people/sl/pubkey.asc ICQ #21172047 AIM: psycho7070 tax office, n.: Den of inequity.>> Sent on 11-Aug-2000 at 14:36:43 with xfmail-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._