On 24.06.2012 06:20, Bob Green wrote:
Hello, I want to examine the characteristics of 49 persons in terms of their symptoms and motivations, in a cluster analysis . The data is in a binary format. I was hoping to save and then examine the cluster membership. I would appreciate advice on whether this is possible within hclust and if so, how do I do this? The syntax I have employed so far, follows. FS4 <- read.csv("E://Arsont2.csv",header=T) dmat <- dist(FS4, method="binary") dmat ctest <- hclust (dist(FS4, method="binary"), "ave") plot(ctest)
See ?cutree Uwe Ligges
Bob Green ______________________________________________ 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.
______________________________________________ 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.