Generate Array of Numbers that fit to a Probability Distribution in Ruby?

后端 未结 4 2023
青春惊慌失措
青春惊慌失措 2021-01-03 11:58

Say I have 100 records, and I want to mock out the created_at date so it fits on some curve. Is there a library to do that, or what formula could I use? I thi

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  • 2021-01-03 12:30

    From wiki:

    There are a couple of methods to generate a random number based on a probability density function. These methods involve transforming a uniform random number in some way. Because of this, these methods work equally well in generating both pseudo-random and true random numbers.

    One method, called the inversion method, involves integrating up to an area greater than or equal to the random number (which should be generated between 0 and 1 for proper distributions).

    A second method, called the acceptance-rejection method, involves choosing an x and y value and testing whether the function of x is greater than the y value. If it is, the x value is accepted. Otherwise, the x value is rejected and the algorithm tries again.

    The first method is the one used in the accepted answer in your SO linked question: Generate Random Numbers with Probabilistic Distribution

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  • 2021-01-03 12:31

    You can generate UNIX timestamps which are really just integers. First figure out when you want to start, for example now:

    start = DateTime::now().to_time.to_i
    

    Find out when the end of your interval should be (say 1 week later):

    finish = (DateTime::now()+1.week).to_time.to_i
    

    Ruby uses this algorithm to generate random numbers. It is almost uniform. Then generate random numbers between the two:

    r = Random.new.rand(start..finish)
    

    Then convert that back to a date:

    d = Time.at(r)
    

    This looks promising as well: http://rb-gsl.rubyforge.org/files/rdoc/randist_rdoc.html

    And this too: http://rb-gsl.rubyforge.org/files/rdoc/rng_rdoc.html

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  • 2021-01-03 12:43

    Another option is the Distribution gem under SciRuby. You can generate normal numbers by:

    require 'distribution'
    
    rng = Distribution::Normal.rng
    random_numbers = Array.new(100).map { rng.call }
    

    There are RNGs for various other distributions as well.

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  • 2021-01-03 12:44

    I recently came across croupier, a ruby gem that aims to generate numbers according to a variety of statistical distributions.

    I have yet to try it but it sounds quite promising.

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