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Dear r-list, I am trying to visually seperate the two main clusters of a dendrogram. The idea is to use: 'edgePar=list(lty=3)' for 'dend1[[1]]' and 'edgePar=list(lty=1)' for 'dend1[[2]]' I have not found a way to solve this. Any suggestions? Patrick hc <- hclust(dist(USArrests), "ave") (dend1 <- as.dendrogram(hc)) par(mfrow=c(2,2)) plot(dend1) plot(dend1[[1]],edgePar=list(lty=3)) plot(dend1[[2]],edgePar=list(lty=1)) -- Patrick Kuss PhD-student Institute of Botany University of Basel Schönbeinstr. 6 CH-4056 Basel +41 61 267 2976 ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html |
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Hi Patrick,
You may want to try out my (highly experimental, so not on CRAN) package A2R. http://addictedtor.free.fr/packages/A2R/A2R_0.0-3.tar.gz 2 dendro's are displayed on RGG, check http://addictedtor.free.fr/graphiques/search.php?q=dendrogram You might also be interrested in Appendix B of Paul Murrel's book : http://www.stat.auckland.ac.nz/~paul/RGraphics/rgraphics.html Romain Le 16.12.2005 17:40, Patrick Kuss a écrit : >Dear r-list, > >I am trying to visually seperate the two main clusters of a dendrogram. >The idea is to use: > >'edgePar=list(lty=3)' for 'dend1[[1]]' and >'edgePar=list(lty=1)' for 'dend1[[2]]' > >I have not found a way to solve this. Any suggestions? > >Patrick > >hc <- hclust(dist(USArrests), "ave") >(dend1 <- as.dendrogram(hc)) >par(mfrow=c(2,2)) >plot(dend1) >plot(dend1[[1]],edgePar=list(lty=3)) >plot(dend1[[2]],edgePar=list(lty=1)) > > >-- >Patrick Kuss >PhD-student >Institute of Botany >University of Basel >Schönbeinstr. 6 >CH-4056 Basel >+41 61 267 2976 > visit the R Graph Gallery : http://addictedtor.free.fr/graphiques mixmod 1.7 is released : http://www-math.univ-fcomte.fr/mixmod/index.php +---------------------------------------------------------------+ | Romain FRANCOIS - http://francoisromain.free.fr | | Doctorant INRIA Futurs / EDF | +---------------------------------------------------------------+ ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html |
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In reply to this post by Patrick Kuss
On 16 Dec 2005 at 17:40, Patrick Kuss wrote:
> > Dear r-list, > > I am trying to visually seperate the two main clusters of a dendrogram. > The idea is to use: > > 'edgePar=list(lty=3)' for 'dend1[[1]]' and > 'edgePar=list(lty=1)' for 'dend1[[2]]' > > I have not found a way to solve this. Any suggestions? > > Patrick > > hc <- hclust(dist(USArrests), "ave") > (dend1 <- as.dendrogram(hc)) > par(mfrow=c(2,2)) > plot(dend1) > plot(dend1[[1]],edgePar=list(lty=3)) > plot(dend1[[2]],edgePar=list(lty=1)) try dend1[[1]] <- dendrapply(dend1[[1]], function(e) { attr(e, "edgePar") <- list(lty=3); e }) plot(dend1) Regards, Herwig -- Dr. Herwig Meschke Wissenschaftliche Beratung Hagsbucher Weg 27 D-89150 Laichingen phone +49 7333 210 417 / fax +49 7333 210 418 email [hidden email] ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html |
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