I had a similar problem. In my case, I had a large table of data and wanted
to find and exclude a single huge value in one column (i.e. remove the
entire row). There were thousands of rows of data, and this single value
was more than 3x the next value, and at least 30x the typical value. I
want
fortune("outlier")
vikrant schrieb:
Suppose I am reading data from a file and the data contains some outliers. I
want to know if it is possible in R to automatically detect outliers in a
dataset and remove them
--
Eik Vettorazzi
Institut für Medizinische Biometrie und Epidemiologie
Univers
Hi V.S.,
Did you search first on r-repositories about this issue prior to ask?
May be not. RSiteSearch("outliers")
bests
milton
On Tue, Jan 19, 2010 at 1:08 AM, vikrant wrote:
>
> Suppose I am reading data from a file and the data contains some outliers.
> I
> want to know if it is possible
What makes an outlier an outlier depends on the model. A highly discrepant
observation under one model is entirely typical under another.
Even given a model, criteria for what consititutes an outlier vary by
application area and user.
Even given all of that, exclusion is only one of many possib
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of vikrant
> Sent: Monday, January 18, 2010 10:09 PM
> To: r-help@r-project.org
> Subject: [R] How to detect and exclude outliers in R?
>
>
> Suppose I
Suppose I am reading data from a file and the data contains some outliers. I
want to know if it is possible in R to automatically detect outliers in a
dataset and remove them
--
View this message in context:
http://n4.nabble.com/How-to-detect-and-exclude-outliers-in-R-tp1017285p1017285.html
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