Jacques, as you probably know, there are many measures of randomness...
Taking the 'r' correlation as a measure of it, I've done this test:
generate two series of 1000 numbers between 1 and 10000 each, using
the random() function. Take the correlation between the two series,
and append it to a list.
repeat 1000 times
from that list of 1000 correlations, take the mean and standard
deviation.
I got: mean correlation = -0.000681, standard deviation= 0.032986
on my macBookPro.
So is that random enough?
Best,
Mark
On 11 Nov 2008, at 21:16, Jacques Hausser wrote:
Hi,
Does somebody know which algorithm is hidden behind the random
function ? Native random number generators have usually a poor
reputation, and I need trustable random numbers. I have translated
the Mersenne twister algorithm which works OK, but slowly (47
milliseconds for 1000 numbers against five for the random
function). If the native function is a good one, I'll keep it...
Thanks for any hint
Jacques
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Prof. Jacques Hausser
Department of Ecology and Evolution
Biophore / Sorge
University of Lausanne
CH 1015 Lausanne
please use my private address:
6 route de Burtigny
CH-1269 Bassins
tel/fax: ++ 41 22 366 19 40
mobile: ++ 41 79 757 05 24
E-Mail: [EMAIL PROTECTED]
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