[R] Fitting data and removing outliers

David L Carlson dcarlson at tamu.edu
Fri Jul 13 21:17:23 CEST 2012

I didn't actually see any question in this posting, but instead of removing the outliers consider using a robust linear model.


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" <lvogric at grahamcapital.com> 
To: r-help at 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. 


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