Really appreciate the discussion on outliers.
I come from an engineering signal processing background, and my thinking
has generally been that an outlier is outside a threshold of
- distance from the mean
- rarity
that we don't need/want to capture in whatever model we're building.
In my
HI,
Check this link:
http://stackoverflow.com/questions/1444306/how-to-use-outlier-tests-in-r-code
Hope it would be helpful.
A.K.
- Original Message -
From: Sajeeka Nanayakkara
To: "r-help@r-project.org"
Cc:
Sent: Wednesday, July 18, 2012 9:27 AM
Subject: [R] R code fo
Hello,
Inline
Em 18-07-2012 18:44, Nordlund, Dan (DSHS/RDA) escreveu:
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
project.org] On Behalf Of Sajeeka Nanayakkara
Sent: Wednesday, July 18, 2012 6:28 AM
To: r-help@r-project.org
Subject: [R] R code for to
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Sajeeka Nanayakkara
> Sent: Wednesday, July 18, 2012 6:28 AM
> To: r-help@r-project.org
> Subject: [R] R code for to check outliers
>
>
>
>
>
> Bert Gunter
> on Wed, 18 Jul 2012 07:14:31 -0700 writes:
> 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 arbitrari
On 18/07/2012 10:14 AM, Bert Gunter 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
> >> What is the R code to check whether data series have
>>> outliers or not?
In case noone else has pointed you there, you could try the 'outliers' package.
That contains some of the 'standard' methods of outlier testing for univariate
data.
What you do with them when you find them is a
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
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
What is the R code to check whether data series have outliers or not?
Thanks,
Sajeeka Nanayakkara
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