The 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)
[1] 29 ac 8e ca d2 a2 1f 69 25 bd
Bytes are 8 bit and hence can have 2^8 = 256
possible
values.
as.numeric(rnd)
[1] 41 172 142 202 210 162 31 105 37 189
Each random byte can be decomposed into 8 random bits (booleans)
x <- rand_bytes(1)
as.logical(rawToBits(x))
[1] TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE
rand_num
is a simple (2 lines) wrapper to
rand_bytes
to generate random numbers (doubles) between 0
and 1.
rand_num(10)
[1] 0.27419562 0.08463804 0.44635765 0.60403045 0.71051709 0.52633062
[7] 0.65832718 0.51791969 0.48108578 0.17467206
To map random draws from [0,1] into a probability density, we can use
a Cumulative
Distribution Function. For example we can combine qnorm
and rand_num
to simulate rnorm
:
# 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))