#this is all assuming you want Bray-Curtis distances, but there are other distances involved. library(vegan) library(labdsv) dis.bc <- vegdist(your.data) bc4d.nmds <- nmds(dis.bc,4) ordcomp(bc4d.nmds,dis.bc,dim=4) On Sat, Jan 31, 2009 at 6:53 AM, Titus von der Malsburg
<malsburg at gmail.com> wrote:
Hi Tomek, have a look at R News, Volume 3/3, December 2003. There you find an article about different algorithms that are available in R. Titus On Sat, Jan 31, 2009 at 01:36:29AM +0100, Tomek Wlodarski wrote:
now I see that cmdscale is not the best option for my problem So I am wondering if you can advice me other method of MDS or different approach to my problem: I have matrix which describes "distances" between object and I would like to visualise this matrix onto 2D in such way that distance between each object on this map would be somehow proportional to "distances" between respective points in the matrix.
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