>>>>> "S" == SeshanV <sesh...@mskcc.org> >>>>> on Sat, 30 Apr 2011 11:20:59 -0400 writes:
> I discovered that the Kendall's tau calculation in R uses > all pairwise comparisons which is O(n^2) and takes a long time for > large vectors. I implemented a O(n*log(n)) algorithm based on > merge-sort. Is this of interest to be included in core R? Yes, quite a bit of interest! I know about the O(n^2) "feature" for quite a while, and it is indeed a considerable problem in copula modelling which has become an interest of mine in the recent year. > The code (fortran and R wrapper) is available in my package clinfun v0.9.7 > (not exported in NAMESPACE). Thank you! Yes, I see you've put them there quite recently. I see the Fortran code uses modern allocate / deallocate constructs (that I don't know). As I think we'd want to use this in the C code which is also underlying cor(*, method="kendall") I'll eventually want a C version, not the least because we may look into dealing with NA 's in the same -- flexible -- way that they are handled currently via the 'use = "..."' argument. I may contact you privately for more. Thanks again, Martin Maechler, ETH Zurich (and R Core Team). >Thanks, Venkat > -- > Venkatraman E. Seshan, Ph.D. | Attending Biostatistician > Director of Biostatistics Computer-Intensive Support Services > Department of Epidemiology and Biostatistics | MSKCC > 307 E 63rd St 3rd Floor | New York, NY 10065 > Phone: 646-735-8126 | Fax: 646-735-0010 > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel