Function nmds is a very simple wrapper: it uses isoMDS in the MASS package, and adds class and some class methods. You may use isoMDS directly instead:
dis <- dsvdis(x) # Assuming you use labdsv ord <- isoMDS(dis) plot(ord$points, asp = 1, type="n") text(ord$points, rownames(ord$points)
The posting guide tells you to make package specific questions to the package author directly. In this case, the package author does not read R-News.
cheers, jari oksanen
On 8 Mar 2005, at 19:43, Isaac Waisberg wrote:
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 result.nmds <- nmds(distance) plot(result.nmds)
(nmds and plot.nmds as defined at labdsv.nr.usu.edu/splus_R/lab8/lab8.html; nmds simply calls isoMDS)
Colour.txt, containing the similaity matrix, reads as follows:
1.0 .86 .42 .42 .18 .06 .07 .04 .02 .07 .09 .12 .13 .16 .86 1.0 .50 .44 .22 .09 .07 .07 .02 .04 .07 .11 .13 .14 .42 .50 1.0 .81 .47 .17 .10 .08 .02 .01 .02 .01 .05 .03 .42 .44 .81 1.0 .54 .25 .10 .09 .02 .01 .01 .01 .02 .04 .18 .22 .47 .54 1.0 .61 .31 .26 .07 .02 .02 .01 .02 .01 .06 .09 .17 .25 .61 1.0 .62 .45 .14 .08 .02 .02 .02 .01 .07 .07 .10 .10 .31 .62 1.0 .73 .22 .14 .05 .02 .02 .01 .04 .07 .08 .09 .26 .45 .73 1.0 .33 .19 .04 .03 .02 .02 .02 .02 .02 .02 .07 .14 .22 .33 1.0 .58 .37 .27 .20 .23 .07 .04 .01 .01 .02 .08 .14 .19 .58 1.0 .74 .50 .41 .28 .09 .07 .02 .01 .02 .02 .05 .04 .37 .74 1.0 .76 .62 .55 .12 .11 .01 .01 .01 .02 .02 .03 .27 .50 .76 1.0 .85 .68 .13 .13 .05 .02 .02 .02 .02 .02 .20 .41 .62 .85 1.0 .76 .16 .14 .03 .04 .01 .01 .01 .02 .23 .28 .55 .68 .76 1.0
The first row corresponds to colour 1 (C1), the second to colour 2 (C2), and so on.
First, I'm not sure if this is correct or not. Second, obviously the points in the plot are not labeled. I suppose I must add a labels column and then print the labels together with the results. But, how should I do it?
Many thanks,
Isaac
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-- Jari Oksanen, Oulu, Finland
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