What do you mean by "dissimilarity analysis (e.g. agnes)"? The
dissimilarity matrix returned by dist or Dist? If that's what you
mean, try this:
x<-matrix(rnorm(200), byrow=T, ncol=10) # generate random data
y<-dist(x, diag=T, upper=T) # generate a dissimilarity matrix
z<-apply(as.matrix(y), 1, paste, sep="\t")
write.table(z, file="temp.txt", sep="\t", quote=F, col.names=NA)
HTH,
STG
--
Stefan Th. Gries
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University of California, Santa Barbara
http://www.linguistics.ucsb.edu/faculty/stgries
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