random: Random Data Generation

In nanonext: NNG (Nanomsg Next Gen) Lightweight Messaging Library

Random Data Generation

Description

Strictly not for use in statistical analysis. Non-reproducible and with unknown statistical properties. Provides an alternative source of randomness from the Mbed TLS library for purposes such as cryptographic key generation. Mbed TLS uses a block-cipher in counter mode operation, as defined in NIST SP800-90A: Recommendation for Random Number Generation Using Deterministic Random Bit Generators. The implementation uses AES-256 as the underlying block cipher, with a derivation function, and an entropy collector combining entropy from multiple sources including at least one strong entropy source.

Usage

random(n = 1L, convert = TRUE)

Arguments

n	[default 1L] integer random bytes to generate (from 0 to 1024), coerced to integer if required. If a vector, the first element is taken.
convert	[default TRUE] logical FALSE to return a raw vector, or TRUE to return the hex representation of the bytes as a character string.

Value

A length n raw vector, or length one vector of ⁠2n⁠ random characters, depending on the value of convert supplied.

Note

Results obtained are independent of and do not alter the state of R's own pseudo-random number generators.

Examples

random()
random(8L)
random(n = 8L, convert = FALSE)

nanonext documentation built on April 4, 2025, 5:18 a.m.