Hi all! I'm new to R and don't know many about it. Because it is free, I managed to learn it a little bit.
Here is my problem: I did a cluster analysis on 30 observations and 16 variables (monde, figaro, liberation, etc.). Here is the .txt data file: "monde","figaro","liberation","yespeople","nopeople","bxl","europe","ue","union_eur","other","yesmeto","nometo","yesfonc","nofonc","yestone","notone" 1,0,0,0,1,0,0,0,1,0,0,1,1,0,1,0 1,0,0,0,1,0,0,0,1,0,0,1,1,0,1,0 1,0,0,0,1,0,0,0,1,0,1,0,1,0,1,0 0,1,0,0,1,0,0,0,1,0,0,1,1,0,0,1 1,0,0,0,1,0,0,0,1,0,0,1,1,0,0,1 1,0,0,0,1,0,0,0,0,1,0,1,1,0,1,0 1,0,0,0,1,0,0,0,0,1,0,1,1,0,1,0 1,0,0,0,1,0,0,0,1,0,0,1,0,1,1,0 0,1,0,0,1,0,0,0,1,0,0,1,0,1,1,0 0,1,0,0,1,0,0,0,0,1,0,1,0,1,1,0 1,0,0,0,1,0,1,0,0,0,0,1,0,1,0,1 0,1,0,0,1,0,0,1,0,0,0,1,1,0,1,0 0,0,1,0,1,0,0,1,0,0,0,1,0,1,1,0 1,0,0,0,1,0,0,1,0,0,0,1,0,1,1,0 0,1,0,0,1,0,0,0,1,0,0,1,1,0,1,0 0,0,1,0,1,0,0,1,0,0,0,1,0,1,1,0 0,1,0,1,0,0,1,0,0,0,0,1,0,1,1,0 0,1,0,0,1,1,0,0,0,0,1,0,0,1,1,0 0,1,0,0,1,1,0,0,0,0,1,0,0,1,1,0 0,1,0,0,1,1,0,0,0,0,1,0,0,1,1,0 0,1,0,0,1,1,0,0,0,0,1,0,0,1,1,0 0,1,0,0,1,1,0,0,0,0,1,0,0,1,0,1 0,1,0,0,1,1,0,0,0,0,1,0,1,0,1,0 0,1,0,0,1,1,0,0,0,0,1,0,1,0,1,0 0,1,0,0,1,1,0,0,0,0,1,0,1,0,1,0 0,1,0,0,1,1,0,0,0,0,1,0,1,0,1,0 0,1,0,0,1,1,0,0,0,0,1,0,1,0,1,0 0,1,0,0,1,1,0,0,0,0,1,0,1,0,1,0 0,1,0,0,1,1,0,0,0,0,1,0,1,0,1,0 1,0,0,0,1,1,0,0,0,0,1,0,1,0,1,0 The steps I made were those: headlines=read.table("/data.csv", header=T, sep=",") data dist=dist(data,method="euclidean") dist cluster=hclust(dist,method="ward") cluster plot(cluster) rect.hclust(cluster, k=4, border="red") I extracted 4 clusters from the data. My question is: is it possible to produce a summary of every mean values for each variable of each of the 4 clusters? Thanks a lot in advance, Jeoffrey -- View this message in context: http://www.nabble.com/cluster-analysis%3A-mean-values-for-each-variable-and-cluster-tp22120427p22120427.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.