In SPSS, you can choose between the MC rng and the Mersenne Twister using the commands:
SET RNG=MC.
or
SET RNG=MT.
See the SPSS documentation for details.
PSPP doesn't implement this. (Perhaps we should?) Like Jason says, we always
use the
Mersenne Twister.
I also notice that the SPSS docs say that the default seed is 2000000 whereas
we set it
from the realtime clock.
I'd be interested to see some of your experiements to see what is necessary to
make them
match (if it's at all possible). It would also be interesting to see how the
random
number distributions fare when analysed with some of the non-parametric tests.
J'
On Wed, Sep 21, 2011 at 12:50:47PM -0400, Jason Stover wrote:
On Wed, Sep 21, 2011 at 10:12:39AM -0400, Andy Choens wrote:
> If I set a set to a consitent value, say 123, and create a sample in
PSPP will it match the sample created by SPSS?
I doubt it, but can't be sure becaus the source code to SPSS is kept
secret.
> If someone
> knows which pseudo number generator is being used by PSPP and SPSS
respectively that would also be a big help so I could
> replicate / confirm output indpenedently.
As of about 10 years ago, most of SPSS used a multiplicative
congruential random number generator. It had a period of either 2^31 -
1 or 2^32 - 1. They may still use such a generator, since changing it
would cause users' old syntax to give different answers.
PSPP uses the Mersenne Twister, which has a period of 2^19937 - 1, as
implemented in GSL. You can see the code for it in src/math/random.c.
-Jason
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