Hi Tyler, sorry, I missed your response. Don't know if it's solved already, but some remarks. the predict uses a princomp object, so your second command should work.
I guess the problem is either the data format of B (should contain exactly the same amount of columns, with the same names), or the cor specification you use. Try : Cor <- ncol(pamX$data)!=2 Prin <- princomp(matrix,cor=Cor) predict(Prin,B) It works perfectly well on every test I run. Cheers Joris On Fri, Nov 27, 2009 at 10:14 AM, Tyler82 <procaccianti.clau...@gmail.com> wrote: > > Hi JorisMeys and thanks! > > > JorisMeys wrote: >> >> On Thu, Nov 26, 2009 at 1:04 AM, Tyler82 <procaccianti.clau...@gmail.com> >> wrote: >>> >>> Hi all! >>> I am working with R package cluster and I have a little problem: >>> let's say I have two datasets...first one ("A") is divided into 4 >>> clusters >>> by means of Pam algorythm. >>> Let's say I want to project the second database ("B") onto the Comp.1 X >>> Comp.2 graph, and see where its elements are placed. >>> The two datasets are made of different dim (54x19 and 28x19). I tried to >>> extract the $loadings of the A clustering but I can't seem to figure out >>> how >>> to use them with B :( >> >> Prin <- princomp(A) >> predict(Prin,B) >> >> in the assumption that the variable names in both dataframes are equal. > > A and B are equal in column names (variables) but different in rownames > (observations), but still it doesn't work. > If I use > A<-princomp(matrix, cor=ncol(pamX$data)!=2)$loadings > and then > predict(A,B) > then the answer is that there is no valid method > (My R version is in Italian...the original message is -Errore in > UseMethod("predict") : nessun metodo applicabile per "predict"- ) > If I use > A<-princomp(matrix, cor=ncol(pamX$data)!=2) > then it says the index is out of limit > > Thank you again!! > > -- > View this message in context: > http://old.nabble.com/R-help-with-princomp-and-pam-clustering-tp26522485p26539667.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.