good method of removing outliers?

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.