Dear Jared, See ?thurstone in the psych package. RSiteSearch("Thurstone") turns this up as the first hit. Also see the BradleyTerry package for the similar Bradley-Terry model.
Regards, John ------------------------------ John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of japomani > Sent: January-31-09 5:04 PM > To: r-help@r-project.org > Subject: [R] thurston case 5 > > > Hi, I hope some one can help. I need to compute Thurston's case 5 on a large > set of data. I have gotten as far as computing the proportional preference > matrix but the next math is beyond me. > > Here us my matrix > > 0.500 0.472 0.486 0.587 0.366 0.483 0.496 0.434 > 0.528 0.500 0.708 0.578 0.633 0.554 0.395 0.620 > 0.514 0.292 0.500 0.370 0.557 0.580 0.615 0.329 > 0.413 0.422 0.630 0.500 0.783 0.641 0.731 0.663 > 0.634 0.367 0.443 0.217 0.500 0.351 0.907 0.686 > 0.517 0.446 0.420 0.359 0.649 0.500 0.325 0.559 > 0.504 0.605 0.385 0.269 0.093 0.675 0.500 0.625 > 0.566 0.380 0.671 0.337 0.314 0.441 0.375 0.500 > > Can someone help me write an R script to compute the Thurston Case 5 values? > The result should be the scale values for each item. > > I found three web pages that might be useful in this, but again, I didn't > know enough to translate them into a result. > > http://marketing.byu.edu/htmlpages/books/pcmds/THURSTONE.html > http://www.personality-project.org/r/thurstone.html > http://en.wikipedia.org/wiki/Law_of_comparative_judgment > > Thanks, > > Jared > -- > View this message in context: http://www.nabble.com/thurston-case-5- > tp21768835p21768835.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.