I agree with Martin that this might not be suitable for a C solution.
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R-devel@r-project.org ma
Yes indeed. My mistake.
On Fri, Nov 18, 2011 at 4:45 PM, Joris Meys wrote:
> Because if you calculate the probability and then make uniform values,
> nothing guarantees that the sum of those uniform values actually is
> larger than 50,000. You only have 50% chance it is, in fact...
> Cheers
> Jo
Because if you calculate the probability and then make uniform values,
nothing guarantees that the sum of those uniform values actually is
larger than 50,000. You only have 50% chance it is, in fact...
Cheers
Joris
On Fri, Nov 18, 2011 at 4:08 PM, Karl Forner wrote:
> Hi,
>
> A probably very naiv
On 11/18/2011 07:08 AM, Karl Forner wrote:
Hi,
A probably very naive remark, but I believe that the probability of sum(
runif(1) )>= 5 is exactly 0.5. So why not just test that, and
generate the uniform values only if needed ?
My thought as well, but actually the deviates need to have
Hi,
A probably very naive remark, but I believe that the probability of sum(
runif(1) ) >= 5 is exactly 0.5. So why not just test that, and
generate the uniform values only if needed ?
Karl Forner
On Thu, Nov 17, 2011 at 6:09 PM, Raymond wrote:
> Hi R developers,
>
>I am new to th
On 17 November 2011 at 09:09, Raymond wrote:
| Hi R developers,
|
| I am new to this forum and hope someone can help me with .Call in R.
| Greatly appreciate any help!
|
| Say, I have a vector called "vecA" of length 1, I generate a vector
| called "vecR" with elements randomly gener
Hi R developers,
I am new to this forum and hope someone can help me with .Call in R.
Greatly appreciate any help!
Say, I have a vector called "vecA" of length 1, I generate a vector
called "vecR" with elements randomly generated from Uniform[0,1]. Both vecA
and vecR are of double typ
