Can you supply a small self-contained example of this? --- Suhaila Zainudin <[EMAIL PROTECTED]> wrote:
> Greetings R-users, > > I have been using the fpc package in R to cluster my > data. Speficically I am > using kmeansruns clustering. > I would like to know how I use R to partition data > into clusters. What I am > doing is as follows. > > # Use csv file as input > ##################### > wholeset = read.csv("Spellman800genesImputed.csv") > > # exclude first col (gene names) > ########################## > wholeset2 = wholeset[,-1] > > #Use fpc > ########################### > library(fpc) > > cl.kmr10 <- kmeansruns(wholeset2,k=10,runs=10) > > > #append cluster label to original dataset > ################### > cl2 <- data.frame(wholeset, cl.kmr10$cluster) > > After this step, I write cl2 into a csv file and > manually partition data > into its respective clusters using Excel. > Then I read the data from each clusters back into R > for further analysis. > > Can I do the data partitioning directly in R? > > TQ > > > -- > Suhaila Zainudin > PhD Candidate > Universiti Teknologi Malaysia > > [[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. > ______________________________________________ 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.