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
rand_bytes(n = 1)
rand_num(n = 1)
OpenSSL manual: https://docs.openssl.org/1.1.1/man3/RAND_bytes/
rnd <- rand_bytes(10)
as.numeric(rnd)
#> [1] 170 15 213 63 25 14 214 98 92 223
as.character(rnd)
#> [1] "aa" "0f" "d5" "3f" "19" "0e" "d6" "62" "5c" "df"
as.logical(rawToBits(rnd))
#> [1] FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
#> [13] FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE TRUE FALSE TRUE TRUE
#> [25] TRUE TRUE TRUE TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE TRUE
#> [37] TRUE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE
#> [49] FALSE TRUE TRUE FALSE TRUE FALSE TRUE TRUE FALSE TRUE FALSE FALSE
#> [61] FALSE TRUE TRUE FALSE FALSE FALSE TRUE TRUE TRUE FALSE TRUE FALSE
#> [73] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
# 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] 0.1577924 0.8609018 0.3032421 0.6333161 0.4968061
# 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)