Hi all, I'm running a multidimensional scaling model on data that are first transformed into a similarity matrix using the program daisy in the cluster package. If I already provide the similarity matrix, the plotting routine will give me the variable names on the plot itself. But, it seems that when I use the daisy program to create the similarity matrix, I can't get the program to give me variable names on the plot. Here is the input ## Sammon's MDS country.demog <- read.csv("~/Desktop/country.demog.csv") ## daisy requires loading the cluster package. It will calculate standardized Eculidean distances country.demog.dist <- daisy(country.demog,metric="euclidean",stand=TRUE) ## The following line calculates the ordinal MDS country.mds <- sammon(dist(country.demog.dist), k=2) ## The following lines create the MDS map using country names. It also places horizontal and vertical lines for reference. plot(country.mds$points,type="n") text(country.mds$points, labels = as.character(country.demog$country)) abline(h=0) abline(v=0) Thanks for any advice, David -- ==============================================================David Kaplan, Ph.D. Professor Department of Educational Psychology University of Wisconsin - Madison Educational Sciences, Room, 1061 1025 W. Johnson Street Madison, WI 53706 email: dkaplan at education dot wisc dot edu homepage: http://www.education.wisc.edu/edpsych/facstaff/kaplan/kaplan.htm Phone: 608-262-0836