FAQ
Forgive me for not following the "posting guidelines" and posting
before doing my homework! I checked CRAN website and found that there
is a package developed by Davies and Kovac, called "ftnonpar" that
implements the "taut spring" approach that I mentioned in my previous
posting.

# For example:
library(ftnonpar)
plot(dclaw(seq(-3,3,len00)),type="l")
xx <- rclaw(500)
pmden(xx,verbose=T)

Best,
Ravi.

----- Original Message -----
Date: Tuesday, February 24, 2004 4:23 pm
Subject: Re: [R] Computing the mode
I remember Prof. Ripley suggesting the "taut springs" approach to
estimating the modes, sometime ago in a posting to this group. I
would
be interested in knowing whether there is any R implementation of
this
approach (developed by Davies (1995)), for both non-parametric
regression and density estimation.

Ravi.

----- Original Message -----
From: Spencer Graves <spencer.graves@pdf.com>
Date: Tuesday, February 24, 2004 7:12 am
Subject: Re: [R] Computing the mode
The problem is that 'the statistic "mode" of a sample' has
no
clear definition. If the distribution is highly discrete, then
the
following will do the job:
set.seed(1)
X <- rpois(11,1)
(nX <- table(X))
X
0 1 2 3
4 4 2 1
names(nX)[nX==max(nX)]
[1] "0" "1"

However, if the data are continuous with no 2 numbers
exactly
equal, then the "mode" depends on the procedure, e.g., the
specific
selection of breakpoints for a histogram. If you insist on
finding
something, you can try "www.r-project.org" -> search -> "R site
search"
for something like ""nonparametric density estimation" and / or
"kernel
density estimator".

hope this helps.
spencer graves
p.s. This has been discussed recently on this list, but I
could
not easily find it in the archives.

Aurora Torrente wrote:
Hi all,
I think this question could be quite trivial, but I can?t find out the
solution... How can you compute the statistic "mode" of a
sample, in
case it exists (as mode() returns the mode of an object)? I tried
help.search("mode") but I couldn't find a clue...
Any help would be much appreciated. Regards,

Aurora

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