Post script: I'm afraid my `solution` was no good, because I forgot the need to change nc and nr. (I got bogged down in passing ylim and lost track of your real question.)
Hopefully someone with a deeper understanding of the original problem will come to the rescue. If not there may be milage on restricting your matrix[,] to matrix[<cond1>,<cond2>] according to information in sclus and gclus. But I am in over my depth here. > >On Sun, 4 Jan 2004, Johan Lindberg wrote: > > > > > > > > I have used heatmap to visualize my microarray data. I > have a matrix of > > > M-values. I do the following. > > > > > > #The distance between the columns. > > > sampdist <- dist(t(matrix[,]), method="euclidean") > > > sclus <- hclust(sampdist, method="average") > > > #The distance between the rows. > > > genedist <- dist(matrix[,], method="euclidean") > > > gclus <- hclust(genedist, method="average") > > > > heatmap(matrix[,],Rowv=as.dendrogram(gclus),Colv=as.dendrogram > (sclus), > > col=rbg) > > > > > > So far so good. But what if I want to look at a group of > genes that appear > > > to have the same expression pattern in the heatmap? How > do I zoom in on a > > > dendogram in a heatmap to look at which genes that are forming the > > > interesting clusters? I would really appreciate if > someone could give me a > > > pointer. Simon Fear Senior Statistician Syne qua non Ltd Tel: +44 (0) 1379 644449 Fax: +44 (0) 1379 644445 email: [EMAIL PROTECTED] web: http://www.synequanon.com Number of attachments included with this message: 0 This message (and any associated files) is confidential and\...{{dropped}} ______________________________________________ [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