[R] Weighted skewness and curtosis
Bert Gunter
bgunter.4567 at gmail.com
Thu Jul 16 17:45:12 CEST 2015
rep() **does** do it essentially in C !!
See also the "moments" package, which I found instantly by googling
"sample moments in R", though I don't know whether it does what you
want (but probably shouldn't do).
Of course, sample skewness and kurtosis are basically useless, but
that's another, off topic, issue.
Cheers,
Bert
Cheers,
Bert
Bert Gunter
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
-- Clifford Stoll
On Thu, Jul 16, 2015 at 8:37 AM, Dimitri Liakhovitski
<dimitri.liakhovitski at gmail.com> wrote:
> Unfortunately not - more like 0.7654, 1.2345.
> I understand that I could multiply each number by 100, round it to no
> decimal point and then unroll my data in proportion.
> I was just hoping someone has done it in C and put it into a package...
>
> On Thu, Jul 16, 2015 at 11:27 AM, David Winsemius
> <dwinsemius at comcast.net> wrote:
>>
>> On Jul 16, 2015, at 8:10 AM, Dimitri Liakhovitski wrote:
>>
>>> Is there an R package that allows one to calculate skewness and
>>> curtosis - but weighted with individual level weights (one weight per
>>> observation)?
>>>
>>
>> Integer weights?
>>
>> --
>>
>> David Winsemius
>> Alameda, CA, USA
>>
>
>
>
> --
> Dimitri Liakhovitski
>
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