[R] synthetic distribution built upon set of discrete values

[Greg Snow]

In addition to Bert's answer.  If the 0 and/or 100 are hard boundaries
(you know that values cannot be outside those values) and you have
data points near one or both of the bounds, then the functions in the
logspline package may be of use.

On Tue, Oct 9, 2012 at 2:38 PM, Bert Gunter <gunter.berton at gene.com> wrote:
> ??
> Perhaps:
>
> ?density
> ?plot.density
>
> -- Bert
>
> On Tue, Oct 9, 2012 at 1:06 PM, Thomas Carrié <thocar at free.fr> wrote:
>> Hello,
>>
>> I have a vector of double values between 0 and 100
>>
>> I would like to draw a synthetic distribution of this vector to see
>> graphically how the values are distributed between 0 and 100.
>>
>> How can I do that ?
>>
>> Thomas
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
>
> Internal Contact Info:
> Phone: 467-7374
> Website:
> http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



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