On Sep 30, 2011, at 4:50 AM, sreblam wrote:
Hi!
I'm trying to implement in R in an easy way the negative reflection
method
described in Silverman (1986) on p.31, ie I have a non-negative
dataset and
would like to estimate the density by applying a reflection method
where the
reflected points have weight -1.
I thought there should be a way to evaluate the wanted kernel at the
required points, in other words to calculate formula (2.16):
fhat(x) = 1/(nh) * sum_{i=1}^{n}{ K( (x-Xi) /h) - K( (x-Xi) /h) }
Unfortunately, I am still not that good and skilled with R - does
anybody
know how to do this- Or maybe a hint...?
Thank you!!
Doing what I thought was the obvious search ( "negative reflection
density" ) done at the obvious search site (the one to which
RSiteSearch("negative reflection density") ) typed at the console
would have taken you) and twiddling with the setting produces this
perfect match as its second hit:
http://finzi.psych.upenn.edu/Rhelp10/2010-July/246526.html
Now it is true that you wouldn't have gotten that with the console
entered string which is why I created a new function (and a new
browser button that fiddles with the default setting for RSiteSearch:
rhelpSearch <- function(string,
restrict = c("Rhelp10", "Rhelp08", "Rhelp02",
"functions" ),
matchesPerPage = 100, ...)
RSiteSearch(string=string, restrict = restrict,
matchesPerPage = matchesPerPage, ...)
R-search button mapped to:
http://search.r-project.org/cgi-bin/namazu.cgi?query=&max=100&result=normal&sort=score&idxname=Rhelp10&idxname=Rhelp08&idxname=Rhelp02&idxname=functions
PS: you can also find the mentioned passage on p.21 of
http://ned.ipac.caltech.edu/level5/March02/Silverman/paper.pdf
--
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Sent from the R help mailing list archive at Nabble.com.
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