SebastianOsinski/SORandom

Collection of functions for generating psuedorandom variables from various distributions

#SORandom

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

Installation

SORandom is available through CocoaPods. To install it, simply add the following line to your Podfile:

pod "SORandom"

Author

Sebastian Osiński, seb.osinski@gmail.com

License

SORandom is available under the MIT license. See the LICENSE file for more info.

##Available psuedorandom generators:

• Discrete distributions:
  • Discrete uniform distribution
  • Binomial distribution
  • Geometric distribution
  • Poisson distribution
• Continuous distributions:
  • Continuous uniform distribution
  • Exponential distribution
  • Gamma distribution
  • Beta distribution
  • Normal (Gaussian) distribution
  • Stable distribution
  • Log-normal distribution
  • Pareto distribution
  • Weibull distribution

##Sampling functions:

• Sampling with replacement
• Sampling without replacement
• Sampling with replacement with given weights

##How to use it?

import SORandom

//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 weights
let letters = ["a", "b", "c", "d", "e"]
let probabilities = [0.5, 0.05, 0.05, 0.1, 0.3]

let randomLetters = sampleWithWeights(letters, probabilities, 10)