On Oct 3, 2010, at 3:01 PM, David Winsemius wrote:
On Oct 3, 2010, at 2:13 PM, Jeffrey Spies wrote:
This is certainly not my area of expertise, but like Peter mentioned,
Jeff Terpstra published this:
http://www.jstatsoft.org/v14/i07
which has R code listed as supplements. Joe McKean seems to keep an
updated version of that code here:
http://www.stat.wmich.edu/red5328/WWest/
And Brent Johnson has extended that code for variable selection/
regression:
http://userwww.service.emory.edu/~bajohn3/software.html
Maybe that's a start; if you find more by following Peter's
suggestion
of privately contacting authors, please follow-up with the list.
Yes; search terms ' "ranked set sampling" "r-project" ' ... does
produce a very complete book-length piece: "Robust Nonparametric
Statistical Methods" (2010) by Hettmansperger and McKean which has a
section on the question posed at printed pg 53 (pg 64 of the pdf
version) and on second print page cites R code available:
http://www.stat.wmich.edu/mckean/Rfuncs/
And that link does not succeed, but this one does:
http://fisher.stat.wmich.edu/joe/Stat666/Rfuncs/
(And I note that Terpstra and McKean are co-authors and that the
same institution.)
Cheers,
Jeff.
On Sun, Oct 3, 2010 at 1:38 PM, Peter Dalgaard <pda...@gmail.com>
wrote:
On 10/03/2010 06:32 PM, David Winsemius wrote:
Ahmed Albatineh wrote:
Are you aware of any package that calculates Ranked Set Sample?
If you
have
a code that you are willing to share, I will acknowledge that in
my work.
Thanks much
Ahmed
I wonder if this is a phrase that is uniformly understood? One
possibility
is that you are asking to sample elements of a set based on some
ranking
function. In that case you may need to describe in more detail
how you want
to handle ties and whether this function is supposed to deal with
multivariate strata. (There are many base functions that handle
univariate
situations and there are packages that provide support for more
complex
ones.)
You are also requested (in the Posting Guide) to provide an
example that
can be cut and pasted and desired results against which responder
can judge
the degree to which their efforts agree with your hopes.
It's a fairly well-defined concept. I.e., you can google for it...
David Winsemius, MD
West Hartford, CT
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