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 -- View this message in context: http://www.nabble.com/cmdscale-question-tf4130562.html#a11746748 Sent from the R help mailing list archive at Nabble.com.
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 -- View this message in context: http://www.nabble.com/cmdscale-question-tf4130774.html#a11747336 Sent from the R help mailing list archive at Nabble.com.
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, ripley at stats.ox.ac.uk 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