[R] how to identify the outliers

Eduwin Pakpahan epakpahan at hki-indonesia.org
Wed Nov 27 03:07:08 CET 2002


Dear Rado, 
First I would do is to investigate the data I consider "outliers"; it
brings some consequences to exclude them IF the data are naturally
occur, and it means we lost them, otherwise we can exclude them.

However, I don't think you need a sophisticated way to do that since you
can run analyses like stepwise or robust analysis. 
Exclude one by one, and run your analysis to see how far the exclusion
will impact to your results, do this repeatedly. 
This is to avoid exclusion "valuable" data and important information in
every single data you have...

Alternatively, you can read Tukey's book " Exploratory Data analysis", I
don't have it now.

Cheers,

Eduwin


 -----Original Message-----
From: 	owner-r-help at stat.math.ethz.ch
[mailto:owner-r-help at stat.math.ethz.ch]  On Behalf Of Rado Bonk
Sent:	Tuesday, November 26, 2002 10:36 PM
To:	r-help at stat.math.ethz.ch
Subject:	[R] how to identify the outliers

Hello R-users,

Is there any more sophisticated way how to identify the dataset 
outliers other then seeing them in boxplot? I wanna exclude them from
further analysis and I am interested in their position in my vector
data.

Rado

-- 
Radoslav Bonk M.S.
Dept. of Physical Geography and Geoecology
Faculty of Sciences, Comenius University
Mlynska Dolina 842 15, Bratislava, SLOVAKIA
tel: +421 2 602 96 250 e-mail: rbonk at host.sk
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