> -Original Message-
> 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.
If extreme values are known to be unreliable*, take a look at robust statisical
methods (or even the median) instead of the mean. h
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 wrote:
>
> On Apr 9, 2013, at 4:12 AM, Lorna wrote:
>
> Hi Eve
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 s
On 09-04-2013, at 13:12, 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
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
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