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 ______________________________________________ R-help_at_r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.Received on Wed 30 Apr 2008 - 20:39:40 GMT
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