Why not do your homework instead of sending the same message three times? The references on the help page (especially Cox & Cox) will explain to you how scaling works on dissimilarities.
There are better alternatives for non-Euclidean dissimilarities: see MASS (the book) and its supporting software. On Mon, 23 Jul 2007, mister_bluesman wrote: > > Hi. > > I know matrices that use distances between places works fine when using > cmdscale. However, what about matricies such as: > > A B C D E > A 0 1 23 12 9 > B 1 0 10 12 3 > C 23 10 0 23 4 > D 12 12 23 0 21 > E 9 3 4 21 0 > > i.e. matrices which do not represent physical distances between places (as > they would not make sense for real distances such as the one above) but > other statistics instead? > > Thanks > > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.