Try this: > library(gplots) > x <- as.matrix(USArrests) > hc <- hclust(dist(USArrests), "ave") > dend1 <- as.dendrogram(hc) > heatmap.2(x, Rowv=dend1)
-G On May 16, 2008, at 12:23PM , Jeremiah Rounds wrote: > > > To: [EMAIL PROTECTED]> From: [EMAIL PROTECTED]> > Date: Fri, 16 May 2008 17:55:26 +0200> Subject: [R] heatmap on pre- > established hclust output?> > Hi,> > Can someone please guide me > towards how to produce "heatmap" output from the> output of > "hclust" run prior to the actual "heatmap" call? I have some> > rather lengthy clustering going on and tweeking the visual output> > with "heatmap" recalculating the clustering every time is not > feasible.> > Thanks, Joh > > I can't say that i have actually tackled this, but I have some > experience with the functions you mentioned. Heatmap takes an > hclustfun function parameter. You can create a custom clustering > function. I don't believe there is a rule that says you have to do > actual work in that function call. Look at just returning the > results of your more complicated clustering in that call without > actually doing the calculations. > > Jeremiah Rounds > Graduate Student > Utah State University > > > > ______________________________________________> [EMAIL PROTECTED] > 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. > _________________________________________________________________ > E-mail for the greater good. Join the im Initiative from Microsoft. > > ood > [[alternative HTML version deleted]] > > > <ATT4398153.txt> Gregory R. Warnes, Ph.D. Associate Professor Center for Biodefence Immune Modeling and Department of Biostatistics and Computational Biology University of Rochester [[alternative HTML version deleted]]
______________________________________________ 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.
