Thanks Prof. Ripley!
Indeed the correct comparison is between density() and the more modern
GenKern::KernSec() and in this case the difference is negligible, so I
will use density() for my work.
Thanks!
mario
On 18-Jan-10 13:57, Prof Brian Ripley wrote:
On Mon, 18 Jan 2010, Mario Valle wrote:
Any advice when to use denstity() and when the KernSmooth package bkde() to
smooth a histogram?
No specific problem to use either one, but I'm curious why there are two so
similar implementations.
They are fundamentally different. density() uses FFT: bkde() does
not and is more flexible as a result Both use binning.
There are only a limited number of ways to implement something as
simple as KDE, and most of them have appeared in R/S-PLUS. Remember
that KernSmooth was written for S-PLUS and predates R (at least in
anything like its current form).
Thanks!
mario
--
Ing. Mario Valle
Data Analysis and Visualization Group | http://www.cscs.ch/~mvalle
Swiss National Supercomputing Centre (CSCS) | Tel: +41 (91) 610.82.60
v. Cantonale Galleria 2, 6928 Manno, Switzerland | Fax: +41 (91) 610.82.82
______________________________________________
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.
--
Ing. Mario Valle
Data Analysis and Visualization Group |
http://www.cscs.ch/~mvalle
Swiss National Supercomputing Centre (CSCS) | Tel: +41 (91) 610.82.60
v. Cantonale Galleria 2, 6928 Manno, Switzerland | Fax: +41 (91) 610.82.82
______________________________________________
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.
