Is a finite mixture of 2 gaussians the name you are looking for? This specific model will not deal with your N component however.
you can find some functions here: http://cran.r-project.org/web/views/Cluster.html Thomas [EMAIL PROTECTED] wrote: > Recently, I have been working with some data that look like two overlapping > gaussian distributions. I would like to either > > 1) determine the mean and SD for each of the two distributions > > OR > > 2) get some (bayesian ?) statistic that estimates how likely an observation > is to belong to the left-hand or right-hand distribution > > In case I'm using the wrong language, my data looks something like this: > > B <- rnorm(500,40,10) > H <- rnorm(500,80,5 ) > N <- runif(200,0,99) > D <- c(B,H,N) > > Where B=background, H=hits, N=noise, and D=my observed distribution > > I have seen analyses like this in the past, but I can't remember what it is > called. If somebody out there can point me towards an R function, or even > the cannonical name for this kind of model, I think I can write the necessary > code. > > Thanks in advance, > Mark > > ______________________________________________ > 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. > -- ************************** Thomas Cornulier Mammal Research Institute Polish Academy of Sciences ul. Waszkiewicza 1c 17-230 Bialowieza http://www.zbs.bialowieza.pl/?en tel (0048) 85 682 77 88 ______________________________________________ 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.
