search for: pltree

Hi all, Can someone tell me how to justify (right or left) the labels on the branches of a dendrogram tree? I have produced a dendrogram via agnes and plotted it with pltree. The dendrogram terminal branch labels seem to be centre-justified by default and I was hoping to change this to left justification. Thanks, Duncan ***************************************** Dr. Duncan Mackay School of Biological Sciences Flinders University GPO Box 2100 Adelaide S.A. 5001 AUST...

Hi list, I am doing cluster analysis using the cluster package. I created a dendrogram using the function plot(agnes(myData)). When I try to change the sise of labels, it does not work. I tried cex = 1.5, etc. Nothing worked. Can anyone give me a hint on how to change the sise of the labels, as well as the sise of axes labels. Thanks Mahdi -- ----------------------------------- Mahdi Osman

Well, you don't give much of an example.... I'm replying CC to the R mailing list. Please ask questions there, rather than adressing individuals for basic help. Here is one; does it answer your question ? data(agriculture) ag.ag <- agnes(agriculture) class(ag.ag) pltree(ag.ag) # the dendrogram, if you want to see it ## cut the dendrogram -> get cluster assignments: (ck3 <- cutree(ag.ag, k = 3)) (ch6 <- cutree(as.hclust(ag.ag), h = 6)) stopifnot(identical(unname(ch6), ck3)) On Tue, Apr 23, 2013 at 6:37 PM, Ramesh krishnan Ramasamy < ramesh.8v@gmail....

...tmp/Rtmpgxd64f/R.INSTALL33128ce7/cluster/man/plantTraits.Rd:69: unexpected END_OF_INPUT 'Structuration de communaut ' *** installing help indices ** building package indices ... ** testing if installed package can be loaded Warning: S3 methods ‘clusplot.default’, ‘clusplot.partition’, ‘pltree.twins’, ‘silhouette.default’, ‘silhouette.clara’, ‘silhouette.partition’, ‘plot.agnes’, ‘plot.diana’, ‘plot.mona’, ‘plot.partition’, ‘plot.silhouette’, ‘print.mona’, ‘print.pam’, ‘print.summary.mona’, ‘print.summary.pam’, ‘print.summary.silhouette’, ‘summary.mona’, ‘summary.pam’, ‘summary.silhouett...

...would like to cut the dendrograms to get a better view of specific components. I calculate the dissimilarity matrix using daisy() because I have a mixture of variable types: factors, ordered factors and numerical variables. If I want one dendrogram, I use agnes() for the agglomerative nesting and pltree() to draw the dendrogram. That way, I get the row names as labels, but I can't cut the tree. Alternatively, I use hclust() on the dissimilarity matrix from daisy(). This allows me to cut the dendrogram with cutree(), but I loose the labels, so that isn't much use. I can change the output...

...text html latex plot.agnes text html latex example plot.diana text html latex example plot.mona text html latex plot.partition text html latex example pltree text html latex pltree.twins text html latex example pluton text html latex example predict.ellipsoid text html latex print.agnes text html late...

...t;-subset(ereck,select=c(11:18,20:32)) library(cluster) library(mva) daisemol<-daisy(emol,type=list(asymm=c(1:21))) layout(matrix(c(1,1,2,2),2,2,byrow=TRUE)) hclustmol<-hclust(daisemol,method="average") plot(hclustmol,cex=0.6) agnesmol<-agnes(daisemol,method="average") pltree(agnesmol,cex=0.6) coagnes<-cophenetic(agnesmol) cor(coagnes,daisemol) cohclust<-cophenetic(hclustmol) cor(cohclust,daisemol) I'm using R 1.7.1 (2003-06-16) on Windows XP. Library "cluster" version 1.7.4 and library "mva" version 1.7.1. Best wishes, Mikkel Mikkel...