> On May 3, 2017, at 9:08 AM, Collins Ochieng Onyanga <coll...@aims.ac.tz> > wrote: > > Dear All, > > I hope you are doing well, I have a problem fitting the *general Beta > distribution* to my data. Any help will be highly appreciated.
There may be people reading the list who will immediately know a function that meets your expectations, but it would be safer if you would point to a reference that mathematically defines those expectations. When I do a google search on "general Beta distribution" I am told that a "generalized Beta distribution" just involves jiggling a bit with the location and shape parameters: http://www.itl.nist.gov/div898/handbook/eda/section3/eda366h.htm ... and that leads me to believe that the ordinary dpq-beta functions in the stats package should be sufficient. You really _should_ read the Posting Guide and after taking time to do that (perhaps needing 2 or 3 read-throughs) , post a small example that illustrates your data and any coding efforts. -- David. > > Thanks > > -- > > Collins Ochieng onyaga > AIMS Tanzania student 2016/2017 > Skype: collins7952 > > -- > > *AIMS-Tanzania* > > *DISCLAIMER*: The contents of this email and any attachm...{{dropped:13}} > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. David Winsemius Alameda, CA, USA ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
