.... except, of course, that the distributions of all finite sets of data are the same: discrete.
I think Andra would do well to seek help from his/her local statistician, as his/her query seems to indicate considerable confusion about basic concepts. Please excuse me if I have misjudged. -- Bert On Fri, Jan 6, 2012 at 10:13 AM, David Winsemius <dwinsem...@comcast.net> wrote: > > On Jan 6, 2012, at 1:02 PM, Andra Isan wrote: > >> That MASS::fitdistr is used for the case when I have some sense about the >> distribution of my data. When I do not know anything about my data, is there >> any function that can I use to tell what distribution of my data is? > > > ?density > >> >> ________________________________ >> From: "R. Michael Weylandt <michael.weyla...@gmail.com>" >> <michael.weyla...@gmail.com> >> >> Cc: "r-help@r-project.org" <r-help@r-project.org> >> Sent: Friday, January 6, 2012 11:18 AM >> Subject: Re: [R] How to fit my data with a distribution? >> >> MASS::fitdistr >> >> Michael >> >>> >>> I have a bunch of data points as follows: >>> >>> x� 100 >>> y� 200 >>> z� 300 >>> ... >>> where 100, 200, 300 are the values. I would like to know the distribution >>> of my data? how can I fit my data into a distribution? >>> >>> Thanks a lot, >>> Andra > > > David Winsemius, MD > West Hartford, CT > > ______________________________________________ > 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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.