Fantastic - thanks for all the helpful replies.

Best
Rory

On Fri, Dec 26, 2008 at 6:51 PM, Matthias Kohl <Matthias.Kohl@stamats.de>wrote:

> indeed one could use package distr ...
>
> library(distr)
> X <- Unif(Min = 0, Max = 1)
> Y <- convpow(X, 10)
> p(Y)(6) - p(Y)(4)
>
> Best
> Matthias
>
> Prof Brian Ripley wrote:
>
>> Look at packages distr* : they can do your example and might do what your
>> real applications.
>>
>> On Fri, 26 Dec 2008, Rory Winston wrote:
>>
>>  Hi
>>>
>>> Firstly , happy Christmas to R-Help! Secondly, I wonder if anyone can
>>> help
>>> me with the following query: I am trying to reproduce some explicit
>>> probability calculations performed in APPL (a Maple extension for
>>> computational probability). For instance, in APPL, to compute the
>>> probability that the sum of 10 iid uniform variables [0,1] will be
>>> between 4
>>> and 6, (i..e Pr( 4 < \sum_{i=1}^{10}X_i < 6)), I can type:
>>>
>>> X := UniformRV(0, 1);
>>> Y := ConvolutionIID(X, 10);
>>> CDF(Y,6) - CDF(Y,4);
>>>
>>> which gives the required probability .7222. Is there any way to perform
>>> these type of calcuations in R in a general way? I realise that a lot of
>>> the
>>> machinery behind these computations comes from Maple's symbolic engine,
>>> but
>>> are there any R extensions for these kind of calculation?
>>>
>>> Cheers
>>> Rory
>>>
>>>    [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help@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.
>>>
>>>
>>
> --
> Dr. Matthias Kohl
> www.stamats.de
>
>

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