Never mind on my reply post (hasn't posted yet, but assuming it does). I found a way to use the merge and height values with Excel to subtract out the lower level distance. Thanks for the help!
kbrownk On Dec 12, 1:38 am, Peter Langfelder <peter.langfel...@gmail.com> wrote: > On Sun, Dec 11, 2011 at 8:43 PM,kbrownk<kbro...@gmail.com> wrote: > > The R function hclust is used to do cluster analysis, but based on R > > help I see no way to print the actual fusion distances (that is, the > > vertical distances for each connected branch pairs seen in the cluster > > dendrogram). > > > Any ideas? I'd like to use them test for significant differences from > > the mean fusion distance (i.e. The Best Cut Test). > > > To perform a cluster analysis I'm using: > > > x <- dist(mydata, method = "euclidean") # distance matrix > > y <- hclust(x, method="ward") #clustering (i.e. fusion) method > > plot(y) # display dendogram > > > Thanks, > >kbrownk > > You need to dig a bit deeper in the help file :) The return value is a > list that contains, among others, components > 'merge' and 'height'. The 'merge' component tells you which objects > were merged at each particular step, and the 'height' component tells > you what the merging height at that step was. The (slightly) tricky > part is to relate the merge component to actual objects - AFAIK there > is no function for that. The function cutree() using the argument k > and varying it between 2 and n should basically do it for you but you > need to match it to the entries in 'merge'. Maybe someone else knows a > better way to do this. > > HTH, > > Peter > > ______________________________________________ > r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@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.