[R] newbie (me) needs to model distribution as two overlapping gaussians
liuwensui at gmail.com
Tue Feb 19 02:03:18 CET 2008
it could be a finite mixture.
take a look at flexmix package.
On Feb 18, 2008 11:03 AM, <mmiller at mail.usp.edu> 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
> 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,
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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