From: <mmiller_at_mail.usp.edu>

Date: Mon, 18 Feb 2008 16:03:10 +0000

R-help_at_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. Received on Mon 18 Feb 2008 - 16:53:55 GMT

Date: Mon, 18 Feb 2008 16:03:10 +0000

Recently, I have been working with some data that look like two overlapping gaussian distributions. I would like to either

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_at_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. Received on Mon 18 Feb 2008 - 16:53:55 GMT

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