.... On Fri, Jul 6, 2012 at 7:19 AM, Michael <comtech....@gmail.com> wrote:
> Hi all, > > I am reading the MASS book but it doesn't give examples about the diagnosis > and model checking for rlm... > > My data is highly non-Gaussian so I am using rlm instead of lm. > Well, rlm() is not necessarily going to help you with that. Key questions: In what way are the data non-Gaussian? Why? Please do not reply to either me or the list. You need to talk with a statistician or try a statistical help list (e.g. stats.stackexchange.com). These are not questions about R but about statistical modeling. -- Bert > > My questions are: > > 0. Are goodness-of-fit and model-checking using rlm completely the same as > usual regression? > > 1. > > Please give me some pointers about how to do goodness-of-fit and > residual diagnosis for rlm in R? Any good tutorials/examples, etc? > 2. > > How to do the residual diagnosis etc. when regression weights are used? > Still the same? > > Thanks a lot! > > [[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. > -- 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 [[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.
