[R] Weighted skewness and curtosis

[Dimitri Liakhovitski]

Thank you!

On Thu, Jul 16, 2015 at 11:45 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
> 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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-- 
Dimitri Liakhovitski