[R] Peak finding algorithm

[roger koenker]

You might want to look at the ftnonpar package.  You haven't quite 
specified whether
you are thinking about estimating densities, or regression functions or 
some third
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)
>
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