[R] trimmed mean and Winsorized mean

[Bert Gunter]

But DO NOT DO ANY OF THIS.

See the Robust Task View on CRAN and use the functionality of the
robust or robustbase package. Trimmed/winsorized means are ancient
technology; there is much better available today (and for the last 40
or so years, in fact).

Cheers,
Bert


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Thu, Jan 21, 2016 at 6:01 AM, John Kane <jrkrideau at inbox.com> wrote:
> I think this depends on how well google knows you. It took me about 6 months when I first starting using R just to get google to figure out what r meant.  I was getting a lot if information on how to do correlations before that.
>
> "winsorized mean in r statistics" sounds safer for a new R user
>
> John Kane
> Kingston ON Canada
>
>
>> -----Original Message-----
>> From: petr.pikal at precheza.cz
>> Sent: Thu, 21 Jan 2016 13:40:41 +0000
>> To: mkashif at uaf.edu.pk, r-help at r-project.org
>> Subject: Re: [R] trimmed mean and Winsorized mean
>>
>> Hi
>>
>> Out of curiosity I tried to find how precise is searching for such simple
>> task on internet.
>>
>> This was my question in google
>>
>> winsorized mean in r
>>
>>
>> Position 6
>> http://finzi.psych.upenn.edu/library/SciencePo/html/winsor.mean.html
>>
>> Position 5
>> http://www.statisticalanalysisconsulting.com/measures-of-central-tendency-the-trimmed-mean-and-median/
>>
>> Position 4
>> https://cran.r-project.org/web/packages/robustHD/robustHD.pdf
>>
>> Position 3
>> https://stat.ethz.ch/pipermail/r-help/2009-August/402610.html
>>
>> Position 2
>> http://www.r-bloggers.com/winsorization/
>>
>> and the winner
>> http://www.personality-project.org/r/html/winsor.html
>>
>> Which of those 6 hits (which you could get instantly) are not compliant
>> with your question?
>>
>> Cheers
>> Petr
>>
>>> -----Original Message-----
>>> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
>>> Muhammad Kashif
>>> Sent: Thursday, January 21, 2016 10:51 AM
>>> To: Group R-help
>>> Subject: [R] trimmed mean and Winsorized mean
>>>
>>> Dear respected group members
>>>
>>>
>>> who we calculate trimmed and Winsorized mean of data. can we calculate
>>> directly of any latest package is available for their calculation.
>>>
>>>       [[alternative HTML version deleted]]
>>>
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>>> guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
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