|Perl: the Markov chain saw|
Stats: Testing whether data is normally (Gaussian) distributedby andye (Curate)
|on Apr 27, 2007 at 19:12 UTC||Need Help??|
andye has asked for the
wisdom of the Perl Monks concerning the following question:
I have some data. I'd like to check whether each of my datasets is normally distributed.
Because of virtues 1 and 2, I'd like to find a module that implements one of the normality test algorithms, rather than doing it myself.
I've looked on CPAN but can't find anything suitable. The R library has some suitable routines in nortest (PDF) but I'm not looking forward to trying to use those from Perl (Statistics::R) or writing a C wrapper to use them from PDL (PDL::PP).
Or of course I could just code the routine myself... my stats is pretty rusty though and there's a fair chance I'd screw it up somehow.
Does anyone have any easier options for me?
Best wishes, and happy weekend to one and all,