Sorry that I send this text for a second time - I didn't see my posting before (though I have set the preferences to see them)
If you want a comparison of different distance measures you might try the manuscript of Johann Bacher who is a specialists in cluster methods. He published an in-depth text on his web site http://www.soziologie.wiso.uni-erlangen.de/koeln/ Regards, F. Thomas Prof Brian Ripley wrote: > `Ordination' is ecologists' terminology for multidimensional scaling. > You will find worked examples in MASS (the book, see the R FAQ), and the > two most commonly used functions, isoMDS and sammon, in MASS the package. > > In your example, the main issue is going to be to choose an appropriate > dissimilarity measure, and dist() (in stats) and daisy() in package > cluster will give you a good start. > > On Sat, 11 Mar 2006, David Woods wrote: > > >> I am severely rusty re. multivariate / ordination analysis, having done >> my last work 40 years ago (in plant ecology). I am interested in >> exploring applications of multivariate analytic approaches to data from >> the history of motion picture films. I'd very much appreciate any >> pointers as to possibly appropriate proceedures. The individual >> "samples" may be individual films and the measurements may be the >> presence and absence of actors and production personel; for example two >> films with many actors and / or crew in common would be located close >> together in the resultant ordination, while films with few or no >> personel in common would be located far apart. >> > > >> May I express my appreciation in advance to any helpful recipients. >> cordially >> David Woods >> >> Dr. David Woods M.B.K.S. >> Holcus Ltd. >> 16 John Street >> Kingston Square >> Hull HU2 8DH >> East Yorkshire >> UK >> >> tel. 44 (0)1482 323421 >> cel (0781) 259 1772 >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@stat.math.ethz.ch mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html >> >> > > -- .......................................... Dr. Frank Thomas FTR Internet Research 93110 Rosny-sous-Bois France -- ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html