At 2:00 AM +0300 4/10/08, Donatas G. wrote: >I am looking for simple introduction to cluster analysis using R, that would >be understandable to a novice in statistics. Or, could someone perhaps help >me understand how to proceed in my analysis? I am very new to both statistics >and R, but am trying hard to avoid having to use SPSS as everyone around >me... > >I have dataset on people presenting their opinions on different religious >communities coded on 5 point scale, and I want to see if those communities >can be grouped (clustered) in some way that would be illuminatin for my >research purposes. > >...
... > >so you can see there is a lot of correlation in the opinions. I doubt >clusterization would be meaningfull, but I still want to try. > >How do I proceed with this? You might want to look at the ICLUST function in the psych package. It was designed for this very problem of clustering items, particularly items with a great deal of missing data. Addition functions in psych that are useful include cluster.plot and ICLUST.graph (and ICLUST.rgraph if you have Rgraphviz installed) Bill > >-- >Donatas Glodenis > >______________________________________________ >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. -- William Revelle http://personality-project.org/revelle.html Professor http://personality-project.org/personality.html Department of Psychology http://www.wcas.northwestern.edu/psych/ Northwestern University http://www.northwestern.edu/ Use R for statistics: http://personality-project.org/r ______________________________________________ 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.