Random number generator (included): Difference between revisions
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R random numbers |
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=={{header|Ruby}}==
Ruby's <code>rand</code> function currently uses the [[wp:Mersenne twister|Mersenne twister]] algorithm, as described in [http://www.ruby-doc.org/core/classes/Kernel.html#M005974 its documentation].
=={{header|R}}==
For uniform random numbers, R may use Wichmann-Hill, Marsaglia-multicarry, Super-Duper, Mersenne-Twister, or Knuth-TAOCP
(both 1997 and 2002 versions), or a user-defined method. The default is Mersenne Twister.
R is able to generate random numbers from a variety of distributions, e.g.
# Beta
# Binomial
# Cauchy
# Chi-Squared
# Exponential
# F
# Gamma
# Geometric
# Hypergeometric
# Logistic
# Log Normal
# Multinomial
# Negative Binomial
# Normal
# Poisson
# Student t
# Uniform
# Weibull
See R help on [http://pbil.univ-lyon1.fr/library/base/html/Random.html Random number generation], or in the R system type
<lang R>
?RNG
help.search("Distribution", package="stats")
</lang>
=={{header|Ursala}}==
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