Samor, A somewhat indirect answer: you could fit a mixture distribution to your data and test how many components are needed to best describe your data.
hth, Ingmar On Wed, Feb 24, 2010 at 1:22 PM, Samor Gandhi <samorgan...@yahoo.com> wrote: > Hello, > > Is there any test for bimodality in R that > > x <- c(rnorm(1000,0,1),rnorm(1000,3,1)) > hist(x,nclass=100) > > Thank you in advance for any help. > > Regards, > Samor > > > > [[alternative HTML version deleted]] > > > ______________________________________________ > 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. > > [[alternative HTML version deleted]] ______________________________________________ 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.
