randomness: Tests the randomness of a numeric vector or matrix

In tomhopper/randr: Convenience functions for generating random numbers.

Description

Runs several visual and statistical checks to determine if a given vector is truly random.

Usage

randomness(x, n_max = 5000)

Arguments

x	A numeric vector.
n_max	A number indicating the maximum lines in x for which a lag.plot() should be generated.

Value

A number indicating statistical randomness

Examples

# Hopefully random distributions
x <- runif(100)
randomness(x)
x <- rnorm(100)
randomness(x)

# True random numbers
if (require(random)) {
  x <- randomNumbers()
  randomness(x)
}

# Non-random sequences
x <- sin((1:100)/pi)
randomness(x)
x <- 1:100
randomness(x)

tomhopper/randr documentation built on Nov. 8, 2021, 2:01 p.m.