Hello, I've been waiting to see if anyone else would answer this.
I've previously used random reallocation of objects to groups (clusters) as a monte-carlo test of the informativeness of groups, as described here: http://lastresortsoftware.blogspot.com/2010/09/monte-carlo-testing-of-classification.html However, in your case it sounds like you want to investigate the influence of particular attributes (traits) or groups of attributes on the classification - is that correct ? If so, I can probably help with some R code but I'd need to know the clustering method you are using (e.g. hclust). Michael On 14 January 2011 02:36, Mao Jianfeng <jianfeng....@gmail.com> wrote: > Dear R-listers, > > I do clustering on tens of individuals by thousands of traits. I have > known the assignment of each individual. I want to classify the > individuals by randomly resampling different subsets of the traits, > for example, randomly resampling 100 traits for 100 times, then 200 > traits for 100 times, then 300 traits for 100 times, ,,,,,,. By each > subset of traits, I do clustering of the same individuals. > > In the end, I want to get the consistency (in percentage) of each of > these clusterings (as examples, here "cluster.1", "cluster.2" and > "cluster.3" in the dummy data) with the assignment which is already > known ("populations" in the dummy data). I want to know how such work > can be implemented, maybe by using R. > > #dummy data, > > clus.data <- data.frame(individual = paste("ind", 1:12, sep = ""), > populations = c(rep("popA", 5), rep("popB", 7)), cluster.1 = c(rep(1, > 5), rep(2, 7)), cluster.2 = c(rep(2, 4), rep(1, 8)), cluster.3 = > c(rep(4, 7), rep(5, 5))) > > clus.data > > Thanks. > > > -- > Jian-Feng, Mao > > the Institute of Botany, > Chinese Academy of Botany, > > ______________________________________________ > 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.