Do you have a good reason to throw these points out? On Fri, Jul 13, 2012 at 2:17 PM, David L Carlson <dcarl...@tamu.edu> wrote: > I didn't actually see any question in this posting, but instead of removing > the outliers consider using a robust linear model. > > library(MASS) > ?rlm > > The TeachingDemos package has a data set called outliers to show what can > happen when you iteratively remove "outliers" in the way you suggest. > > ------------------------------------- > David L Carlson > Associate Professor of Anthropology > Texas A&M University > College Station, TX 77840-4352 > > > ----- Original Message ----- > > From: "Lauren Vogric" <lvog...@grahamcapital.com> > To: r-help@r-project.org > Sent: Friday, July 13, 2012 1:36:43 PM > Subject: [R] Fitting data and removing outliers > > What I'm trying to do is create best fit line in R for a set of data points > and then remove all the outliers to re-create a best fit. I can't use IQR > because the outliers I have in mind are easily within the range, but way out > of line for the best fit, which is ruining the fit. I'd rather throw out > those points all together. > > Thanks! > > [[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. > > ______________________________________________ > 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.
-- Stephen Sefick ************************************************** Auburn University Biological Sciences 331 Funchess Hall Auburn, Alabama 36849 ************************************************** sas0...@auburn.edu http://www.auburn.edu/~sas0025 ************************************************** Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis "A big computer, a complex algorithm and a long time does not equal science." -Robert Gentleman ______________________________________________ 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.
