Let's say I've got a probability distribution histogram represented as a hash:

{apples=>4,oranges=>19,pairs=>10,peaches=>5}

What is the best way to simulate random sampling of that histogram? I looked around CPAN for Monte Carlo methods and the only distributions I found supported were math-based such as Math::GSL::Randist -- not data-based.

In reply to Sampling From a Histogram Distribution by jabowery

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