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Best way to handle probability distributions

asked 2012-10-28 23:15:51 +0200

calc314 gravatar image

I'm curious to know what people recommend as the best way to handle probability distributions in Sage. Using scipy requires setting up a lambda function when doing a plot, and RealDistribution only accepts one parameter (standard deviation) for the normal distribution when there should be two. Is there a better option?

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It is possible to use the normal with a different mean, by just moving all the data - in fact, I think we showed that in the PREP workshop at some point. Obviously that's not optimal, though - maybe you should open a ticket? Just sayin' :-)

kcrisman gravatar imagekcrisman ( 2012-10-30 16:21:49 +0200 )edit

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answered 2012-10-30 08:39:18 +0200

niles gravatar image

scipy.stats seems quite full-featured, although I've only used rv_discrete myself. You can define a new distribution as a subclass of rv_continuous or rv_discrete, and give it methods for the density, cumulative distribution, and many other things.

You should probably also look at R.

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Asked: 2012-10-28 23:15:51 +0200

Seen: 1,138 times

Last updated: Oct 30 '12