knitr::opts_chunk$set(comment = "") library(openssl)
rand_bytes function binds to RAND_bytes in OpenSSL to generate cryptographically strong pseudo-random bytes. See the OpenSSL documentation for what this means.
rnd <- rand_bytes(10) print(rnd)
Bytes are 8 bit and hence can have
2^8 = 256 possible values.
Each random byte can be decomposed into 8 random bits (booleans)
x <- rand_bytes(1) as.logical(rawToBits(x))
rand_num is a simple (2 lines) wrapper to
rand_bytes to generate random numbers (doubles) between 0 and 1.
To map random draws from [0,1] into a probability density, we can use a Cumulative Distribution Function. For example we can combine
rand_num to simulate
# Secure rnorm x <- qnorm(rand_num(1000), mean = 100, sd = 15) hist(x)
Same for discrete distributions:
# Secure rbinom y <- qbinom(rand_num(1000), size = 20, prob = 0.1) hist(y, breaks = -.5:(max(y)+1))
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