this set of functions generates random bytes or numbers from OpenSSL. This
provides a cryptographically secure alternative to R's default random number generator.
rand_bytes generates n random cryptographically secure bytes
References
OpenSSL manual: https://docs.openssl.org/1.1.1/man3/RAND_bytes/
Examples
rnd <- rand_bytes(10)
as.numeric(rnd)
#> [1] 46 206 240 56 45 128 115 169 3 67
as.character(rnd)
#> [1] "2e" "ce" "f0" "38" "2d" "80" "73" "a9" "03" "43"
as.logical(rawToBits(rnd))
#> [1] FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE FALSE TRUE TRUE TRUE
#> [13] FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE
#> [25] FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE TRUE TRUE
#> [37] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
#> [49] TRUE TRUE FALSE FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE
#> [61] FALSE TRUE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
#> [73] TRUE TRUE FALSE FALSE FALSE FALSE TRUE FALSE
# bytes range from 0 to 255
rnd <- rand_bytes(100000)
hist(as.numeric(rnd), breaks=-1:255)
# Generate random doubles between 0 and 1
rand_num(5)
#> [1] 0.04881624 0.02599022 0.56918947 0.56932550 0.71724753
# Use CDF to map [0,1] into random draws from a distribution
x <- qnorm(rand_num(1000), mean=100, sd=15)
hist(x)
y <- qbinom(rand_num(1000), size=10, prob=0.3)
hist(y)