For your number 2, look at the outliers data set in the TeachingDemos package and run the 1st set of examples, yes it uses a different rule than you use, but still a common one. Think about what is happening in the example, doesn't that make you a little nervous about methods that automatically discard "outliers"?
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of kirtau > Sent: Wednesday, February 09, 2011 11:06 AM > To: r-help@r-project.org > Subject: Re: [R] Removing Outliers Function > > > I have two questions, > > 1) if the solutions is only three or four lines of code is there anyway > you > can share those lines, without disrespecting me further > > 2) Can you explain why you feel that this is "statistical malpractice" > > ----- > - AK > -- > View this message in context: http://r.789695.n4.nabble.com/Removing- > Outliers-Function-tp3293395p3297816.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. ______________________________________________ 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.
