Re: [R] newbie (me) needs to model distribution as two overlapping gaussians

From: tcornulier <tcornulier_at_zbs.bialowieza.pl>
Date: Mon, 18 Feb 2008 20:48:03 +0100

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

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
>
> 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
>
> ______________________________________________
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>

-- 


**************************
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

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Received on Mon 18 Feb 2008 - 20:03:20 GMT

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