Hi, Taisa, It depends on many paramfactors, e.g. nature of your data, volume of data set etc.
The analog of SAS fastclus in R - kmeans (for practical example check slide #35 here: http://www.slideshare.net/whitish/textmining-with-r) Check also kmedoids (pam) and hclust. Good luck, -Alex ________________________________________ From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] on behalf of Taisa Brown [taisa.br...@unb.ca] Sent: 15 April 2012 03:28 To: r-help@r-project.org Subject: [R] Cluster Analysis Hi, I was wondering what the best equivalent to SAS's FASTCLUS and PROC CLUSTER would be. I need to be able to test the significance of the clusters by comparing the probability of obtaining an equal or greater pseudo F to the Bonferroni-corrected level. I will also need to plot r squared against the number of clusters. Thanks so much, Taisa [[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.
