To further David's comment, just think what the world would be like if
 Alexander
Fleming had discarded an obvious outlier in 1928 (
http://en.wikipedia.org/wiki/Penicillin#Discovery).


On Tue, Apr 9, 2013 at 7:46 AM, David Winsemius <dwinsemius@comcast.net>wrote:

>
> On Apr 9, 2013, at 4:12 AM, Lorna wrote:
>
>  Hi Everyone,
>>
>> I have a very long list of data-points (+2300) and i know from my
>> histogram
>> that there are outliers which are affecting my mean.
>>
>> I was wondering if anyone on here knows a way i can quickly get R to
>> calculate and remove data which is 3 standard deviations from the mean? I
>> am
>> hoping this will tidy my data and give me a repeatable method of tidying
>> for
>> future data collection.
>>
>> Please if you do post code, make it as user friendly as possible! I am
>> not a
>> very good programmer, i can load my data into R and do basic stats on it
>> however i havent tried much else....
>>
>> Thank you in advance for any advice given :)
>>
>>
> This plan has no statistical justification. Around here we have reverence
> for data. Outliers are often meaningful. Requests to distort your data
> should be accompanied by a coherent argument.
>
> --
>
> David Winsemius, MD
> Alameda, CA, USA
>
>
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> PLEASE do read the posting guide http://www.R-project.org/**
> posting-guide.html <http://www.R-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Gregory (Greg) L. Snow Ph.D.
538280@gmail.com

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