gsl (version 1.8-8)

Rng: Random numbers generation

Description

Random number generation with the Gnu Scientific Library, as per the reference manual section 17

Usage

rng_alloc(type)
rng_clone(r)
rng_name(r)
rng_max(r)
rng_min(r)
rng_set(r, seed)
rng_get(r, length)
rng_uniform(r, length)
rng_uniform_int(r, N, length)
rng_uniform_pos(r, length)

Arguments

type
In function rng_alloc(), type of random number generator. This argument is taken to be a character string which is matched to the names of the random number generators given in the GSL manual section 17.9, with the initial
r
Instance of a random number generator. Generate this using function rng_alloc().
seed
Random number seed
length
Length of vector of random numbers to create
N
In function rng_uniform_int(), upper bound of uniform distribution

Value

  • Function rng_alloc() returns an external pointer to a GSL random number generator.

Details

These are wrappers for the random number generator functions from the GSL http://www.gnu.org/software/gsl with arguments corresponding to those from the library. Calling rng_free is not necessary as R performs garbage collection automatically.

The functions that return random numbers (rng_get, rng_uniform, rng_uniform_int, rng_uniform_pos) take an extra argument that specifies the length of the vector of random numbers to be returned.

References

http://www.gnu.org/software/gsl

Examples

Run this code
r <- rng_alloc("cmrg")
rng_set(r, 100)
rng_uniform(r, 10)

Run the code above in your browser using DataCamp Workspace