[R] Cluster Analysis
David L Carlson
dcarlson at tamu.edu
Mon Apr 16 19:17:58 CEST 2012
At the R command prompt
?kmeans (for info on the R equivalent to FASTCLUS)
?hclust (for info on the R equivalent to CLUSTER)
Install package clusterSim
and look at function index.G1 for the Calinski-Harabasz pseudo F-statistic
----------------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Taisa Brown
> Sent: Saturday, April 14, 2012 7:29 PM
> To: r-help at 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 at 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.
More information about the R-help
mailing list