On 30/12/11 17:03, Michael wrote:
Happy holidays all!
I know it's very subjective to determine whether some data is outlier or
not...
But are there reasonally good and realistic methods of identifying outliers
in R?
Thanks a lot!
Ignoring the moral questions for a moment (totaly depends on your
defintion of an outlier, your dataset, it's distribution etc etc), for
the technical implementation, try the outliers package
(http://www.stats.bris.ac.uk/R/web/packages/outliers/index.html), which
implements the Grubbs and Cox tests. Also, see this stackoverflow
answer of mine that shows an implementation of the Llund test for
outliers within a regression ( http://stackoverflow.com/a/1444548/74658 ).
Regards,
Paul.
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