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swiftrandom's Introduction

#SwiftRandom License Language Platform

SwiftRandom is collection of pseudorandom generators from various statistical distributions and functions for pseudorandom array sampling.

##Available psuedorandom generators:

  • Discrete distributions:
    • Discrete uniform distribution
    • Binomial distribution
    • Geometric distribution
  • Continuous distributions:
    • Continuous uniform distribution
    • Exponential distribution
    • Normal (Gaussian) distribution

##Sampling functions:

  • Sampling with replacement
  • Sampling without replacement
  • Sampling with replacement with given probabilities

##How to use it?

import SwiftRandom

//Single pseudorandom normal variable
//with mean 0 and standard deviation 1
let x = randNormal(0, 1)

//Array of pseudorandom independent normal variables 
//with mean 0 and standard deviation 1 and length 10
let sample = randNormals(0, 1, 10)

//Sampling from array:

//with replacement
let numbers = [10, 11, 45, 1, 0, 4]
let bootstrapSample = sampleWithReplacement(numbers, 10)

//without replacement
let names = ["John", "Bob", "Anna", "Alice", "Chris", "Luke"]
let usersOrder = sampleWithoutReplacement(names, 4)

//with given probabilities
let letters = ["a", "b", "c", "d", "e"]
let probabilities = [0.5, 0.05, 0.05, 0.1, 0.3] //probabilities have to sum to 1

let randomLetters = sampleWithProbs(letters, probabilities, 10)

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