README.md

Array

Pseudorandom number generator (PRNG) array creation functions.

Usage

var ns = require( '@stdlib/random/array' );

ns

Namespace containing array creation pseudorandom number generator (PRNG) functions.

var o = ns;
// returns {...}

The namespace contains the following:

• arcsine( len, a, b[, options] ): create an array containing pseudorandom numbers drawn from an arcsine distribution.
• beta( len, alpha, beta[, options] ): create an array containing pseudorandom numbers drawn from a beta distribution.
• betaprime( len, alpha, beta[, options] ): create an array containing pseudorandom numbers drawn from a beta prime distribution.
• cosine( len, mu, s[, options] ): create an array containing pseudorandom numbers drawn from a raised cosine distribution.
• discreteUniform( len, a, b[, options] ): create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
• exponential( len, lambda[, options] ): create an array containing pseudorandom numbers drawn from an exponential distribution.
• gamma( len, alpha, beta[, options] ): create an array containing pseudorandom numbers drawn from a gamma distribution.
• geometric( len, p[, options] ): create an array containing pseudorandom numbers drawn from an geometric distribution.
• invgamma( len, alpha, beta[, options] ): create an array containing pseudorandom numbers drawn from an inverse gamma distribution.
• lognormal( len, mu, sigma[, options] ): create an array containing pseudorandom numbers drawn from a lognormal distribution.
• minstdShuffle( len[, options] ): create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
• minstd( len[, options] ): create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG).
• mt19937( len[, options] ): create an array containing pseudorandom numbers generated using a 32-bit Mersenne Twister pseudorandom number generator.
• normal( len, mu, sigma[, options] ): create an array containing pseudorandom numbers drawn from a normal distribution.
• randu( len[, options] ): create an array containing uniformly distributed pseudorandom numbers between 0 and 1.
• uniform( len, a, b[, options] ): create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

Examples

var objectKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/random/array' );

console.log( objectKeys( ns ) );