Fantastic - thanks for all the helpful replies.
Best
Rory
On Fri, Dec 26, 2008 at 6:51 PM, Matthias Kohl 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:
>
>
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:
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 c
Actually the last line could be simplified to just:
> s > 4 & s < 6
mean sd sims
[1] 0.72 0.45 2500
On Fri, Dec 26, 2008 at 8:33 AM, Gabor Grothendieck
wrote:
> Try a simulation approach. vignette("rv") for more info.
>
>> set.seed(1)
>> library(rv)
>> x <- rvunif(10)
>> s <- simapply(x,
Try a simulation approach. vignette("rv") for more info.
> set.seed(1)
> library(rv)
> x <- rvunif(10)
> s <- simapply(x, sum)
> mean(s > 4 & s < 6)
mean sd 1% 2.5% 25% 50% 75% 97.5% 99% sims
[1] 0.72 0.45 00 0 1 1 1 1 2500
On Fri, Dec 26, 2008 at 7:42 AM, Rory Winston
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
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