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
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?)
If you are referring to something similar to LC-MS data, you might want to
take a look at the `mscalib' and/or `ppc' packages. I haven't used those,
so don't know how relevant they are to what you have in mind.
[Searching for `peak' on Prof. Baron's R search site turned up those two
packages.]
