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
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Dr. Matthias Kohl
www.stamats.de
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