[R] Peak finding algorithm
rkoenker at uiuc.edu
Thu Dec 9 23:12:47 CET 2004
You might want to look at the ftnonpar package. You haven't quite
you are thinking about estimating densities, or regression functions or
option, or whether 2-dimensional means: functions R -> R or functions
R^2 -> R,
my recollection is that ftnonpar is (mostly?) about the R -> R case.
url: www.econ.uiuc.edu/~roger Roger Koenker
email rkoenker at uiuc.edu Department of Economics
vox: 217-333-4558 University of Illinois
fax: 217-244-6678 Champaign, IL 61820
On Dec 9, 2004, at 3:01 PM, Gene Cutler wrote:
> I'm sure there must be various peak-finding algorithms out there. Not
> knowing of any, I have written one myself*, but I thought I'd ask to
> see what's out there.
> Basically, I have a 2-dimensional data set and I want to identify
> local peaks in the data, while ignoring "trivial" peaks. My naive
> algorithm first identifies every peak and valley (point of inflection
> change in the graph), then shaves off shallow peaks and valleys based
> on an arbitrary depth parameter, then returns whatever is left. This
> produces decent results, but, again, I'd like to know what other
> implementations are available.
> (* source available on request)
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide!
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