On Wed, 2008-06-18 at 03:45 -0700, Birgitle wrote: > You could have a look at library(analogue) , function ?distance
Thanks for the plug Birgit, but (and I say this as the author of distance), if you just want to compute a dissimilarity matrix using Gower's coefficient for mixed data, use daisy() from recommended package cluster because i) as cluster is recommended you don't need to install further packages, and ii) I haven't done timings, but daisy() will be much faster, and potentially use less memory, than distance() because daisy() is in compiled FORTRAN and is doing half the computations that distance does, which uses a pure R approach. distance was written with a very specific use-case in mind; of dissimilarities between rows of matrix A and rows of matrix B. That it does full dissimilarity matrix computation when provided a single matrix is a side effect (one that I intend to keep however). Eventually, distance will move to compiled C code, but that is immediately below "Learn C" on the ever lengthening TODO list ;-) > > and library (cluster), function ?agnes I think you mean daisy() here. agnes() is for /clustering/. G > > B. > > > Chua Siang Li wrote: > > > > > > Hello there. Is there any function in R that can do cluster on a set > > of > > data that has both categorical and numerical variables? thanks. > > siangli > > ______________________________________________ > > 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. > > > > > > > ----- > The art of living is more like wrestling than dancing. > (Marcus Aurelius) -- %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% Dr. Gavin Simpson [t] +44 (0)20 7679 0522 ECRC, UCL Geography, [f] +44 (0)20 7679 0565 Pearson Building, [e] gavin.simpsonATNOSPAMucl.ac.uk Gower Street, London [w] http://www.ucl.ac.uk/~ucfagls/ UK. WC1E 6BT. [w] http://www.freshwaters.org.uk %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% ______________________________________________ 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.