R code for to check outliers
To further what Bert says: You would almost certainly prefer to use robust statistics than "outlier detection". I believe Greg Snow's TeachingDemos package has a data set "outliers" suggesting some of the perils of doing things the outlier-removal way. Best, Michael
On Wed, Jul 18, 2012 at 9:14 AM, Bert Gunter <gunter.berton at gene.com> wrote:
checkforoutliers <- function(series)NULL Cheers, Bert *Explanation: There is no such thing as a statistical outlier -- or, rather,"outlier" is a fraudulent statistical concept, defined arbitrarily and without scientific legitimacy. The typical unstated purpose of such identification is to remove contaminating or irrelevant data, but such a judgment can only be made by a subject matter expert with knowledge of the context and, usually, the specific cause for the unusual data. Do not be misled by the large body of statistical literature on this topic into believing that statistical analysis alone can provide objective criteria to do this. That is a path to scientific purgatory. For the record: 1. I am a statistician 2. Lots of highly knowledgeable, smart statisticians will condemn what I have just said as stupid ranting. The perils of a mailing list. -- Bert On Wed, Jul 18, 2012 at 6:27 AM, Sajeeka Nanayakkara <nsajeeka at yahoo.com>wrote:
What is the R code to check whether data series have outliers or not?
Thanks,
Sajeeka Nanayakkara
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-- 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]]
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