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.) -- O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
