I have a data set with 6 variables and 251 cases. The people who supplied me with this data set believe that it falls naturally into three groups, and have given me a rule for determining group number from these 6 variables.
If I do scaled.stuff <- scale(stuff, TRUE, c(...the design ranges...)) stuff.dist <- dist(scaled.stuff) stuff.hc <- hclust(stuff.dist) plot(stuff.hc) I get a dendrogram which looks sort of plausible, but (a) with this many leaves, the leaf labels really aren't legible at any plausible scaling, and would be best omitted. I could figure out which point was which if there were some way to use identify(), but I'm justnot seeing it. (b) what I'd really like to do is to colour the leaves according to the predicted group, or some other variable. The obvious thing to try is plot(stuff.hc, col=c("red","green","blue")[stuff.predicted.group]) but that doesn't work. I read everything that seemed plausible, and came across nodePar, but col <- c("red","green","blue")[stuff.predicted.group] plot(stuff.hc, nodePar=list(col=list("black",col))) tells me repeatedly that parameter "nodePar" couldn't be set in high-level plot() function while plot(as.dendrogram(hc), nodePar=list(col=list("black",col))) draws the dendrogram (_much_ slower than plot() does) and still gives me no colouring at all. Clearly I have misunderstood how to use nodePar. (c) The obvious fall-back is to use points() to draw the nodes again in the colours I want, but if I could do that, I could use identify(). The frustrating thing is that when I do d <- dim(stuff))[1] plot(1:d, 1:d, col=col[stuff.hc$order]) shows me that there _is_ a strong connection between the groups found by hclust() and the predicted groups, albeit not a simple one. I have looked at plot.dendrogram() and plotNode() -- using getAnywhere() -- and it looks to me as though what I want *should* be doable, but I've clearly misunderstood the details of how to do it. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html