On Mon, 2008-10-13 at 16:28 +0200, [EMAIL PROTECTED] wrote: > > If you used daisy, is there a problem with converting the resulting > > object to a full dissimilarity matrix and extracting the relevant > > row/column you need for the target site? > > Well, the lost of efficiantcy is huge. I need to compute the distance > several time on data base that count 1000 or even 10 000 subjects. 10 > 000^2 cost a lot in term of time, whereas 10 000 does not. > > A solution would be to re-write DAISY and adapt it. But since I do not > know fortran, I prefers first to ask if someone already did it...
Sorry, I didn't intend to suggest that what was there was good enough for your purposes. I appreciate the loss of efficiency, and simply wondered if it would work for your purposes, given that the solution in analogue::distance is coded in R. I am progressing, slowly to convert analogue::distance to C, which should run faster, but other areas of the package have taken priority over that just now. analogue::distance may work for you in your case. I'd be interested in finding out (off-list) how you get on with it if you do use it. All the best, G > > Christophe > > > > > ---------------------------------------------------------------- > Ce message a ete envoye par IMP, grace a l'Universite Paris 10 Nanterre > > > ______________________________________________ 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.
