<[EMAIL PROTECTED]> wrote in news:[EMAIL PROTECTED]:
> > 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) First hit on <http://www.rseek.org/> with: functions mixture gaussians <http://research.stowers-institute.org/efg/R/Statistics/MixturesOfDistributions/index.htm> Task Views: <http://cran.us.r-project.org/web/views/Cluster.html> <http://cran.r-project.org/web/views/Multivariate.html> <http://cran.r-project.org/web/views/Bayesian.html> nor1mix: Normal (1-d) Mixture Models (S3 Classes and Methods) <http://lib.stat.cmu.edu/R/CRAN/> In the nor1mix documentation, Mächler recommends the mclust package for estimation. -- David Winsemius ______________________________________________ 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.
