This nmds seems to be the wrapper function in the labdsv package.
Please check the documentation in that package. If I remember
correctly, labdsv is geared for cases with large number of points, and
then you don't want to get labels because they would be too congested
to be seen anyway. The
Hi;
I am working with the similarity matrix below and I would like to plot
a two-dimensional MDS solution such as each point in the plot has a
label.
This is what I did:
data - read.table('c:/multivariate/mds/colour.txt',header=FALSE)
similarity - as.dist(data)
distance - 1-similarity
