Seth Imhoff wrote:> Hi Everyone-
>
> After searching through posts and my favorite R-help websites I'm still
confused about a problem. I have data which is bimodal in nature, but there is
no clearly obvious separation between the two peaks. In programs such as
Origin, I can deconvolute the two distributions and have it generate a
"best guess" as to what the two subpopulations are which make up my
dataset. Below is a link to a figure which represents what I would like to
accomplish here (it is the best I can do so far).
>
> http://nucleus.msae.wisc.edu/example.html
>
That's not a well defined problem without further assumptions, so if you
want to do what Origin does, you need to find out what Origin does....
(This is not easily fathomed by Googling.)
The key concept is "finite mixture model" an there's a CRAN task
view on
the topic:
http://cran.r-project.org/web/views/Cluster.html
("Deconvolution" is a somewhat different technique which is based on
the
assumption that there is an underlying "signal" which is blurred by
some
smoothing kernel. That doesn't really seem to apply here, but you could
use the search facilities on www.r-project.org to investigate.)
--
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