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,
andye
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Re: Stats: Testing whether data is normally (Gaussian) distributed
by lin0 (Curate) on Apr 27, 2007 at 20:11 UTC | |
by DrHyde (Prior) on May 01, 2007 at 09:23 UTC | |
Re: Stats: Testing whether data is normally (Gaussian) distributed
by moklevat (Priest) on Apr 27, 2007 at 21:25 UTC | |
Re: Stats: Testing whether data is normally (Gaussian) distributed
by DigitalKitty (Parson) on Apr 27, 2007 at 22:10 UTC | |
Re: Stats: Testing whether data is normally (Gaussian) distributed
by jbullock35 (Hermit) on Apr 28, 2007 at 10:35 UTC | |
Re: Stats: Testing whether data is normally (Gaussian) distributed
by andye (Curate) on Apr 30, 2007 at 14:22 UTC |