Hi, Basically the question is already made: I would like to generate count data with high/medium/low oversdispersion... Can someone help me? Thanks a lot! -- João Moura [[alternative HTML version deleted]]

Hi Joao Have you tried the ?rnbinom function? The "size" argument to rbinom() determines the extent of overdispersion. Note that this "size" is the inverse of the dispersion parameter as used in the edgeR package (i.e. size = 1/ dispersion ). So I would consider size=1 to be high overdispersion, size=5 to be medium and size > 100 to be low overdispersion. Hope that helps get you started. Cheers Davis On Jul 6, 2011, at 1:22 AM, Jo?o Barbosa wrote: > Hi, > > Basically the question is already made: I would like to generate count data > with high/medium/low oversdispersion... Can someone help me? > > Thanks a lot! > > -- > Jo?o Moura > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at r-project.org > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor ---------------------------------------------------------------------- -- Davis J McCarthy Research Technician Bioinformatics Division Walter and Eliza Hall Institute of Medical Research 1G Royal Parade, Parkville, Vic 3052, Australia dmccarthy at wehi.edu.au http://www.wehi.edu.au ______________________________________________________________________ The information in this email is confidential and intend...{{dropped:6}}