random

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.

R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is
a socket library implementing 'Scalability Protocols', a reliable,
high-performance standard for common communications patterns including
publish/subscribe, request/reply and service discovery, over in-process,
IPC, TCP, WebSocket and secure TLS transports. As its own threaded
concurrency framework, provides a toolkit for asynchronous programming and
distributed computing, with intuitive 'aio' objects which resolve
automatically upon completion of asynchronous operations, and
synchronisation primitives allowing R to wait upon events signalled by
concurrent threads.

Charlie Gao

nanonext

NNG (Nanomsg Next Gen) Lightweight Messaging Library

Hibiki AI Limited 

R Consortium 

random function

<dl><dt>n</dt>
<dd>[default 1L] integer random bytes to generate (from 0 to 1024).</dd>
<dt>convert</dt>
<dd>[default TRUE] logical FALSE to return a raw vector, or TRUE
to return the hex representation of the bytes as a character string.</dd></dl>

Arguments

Random Data Generation — random

<dl>

<dt>n</dt>
<dd>[default 1L] integer random bytes to generate (from 0 to 1024).</dd>


<dt>convert</dt>
<dd>[default TRUE] logical FALSE to return a raw vector, or TRUE
to return the hex representation of the bytes as a character string.</dd>

</dl>

random: Random Data Generation

Description

Usage

Value

Arguments

Details

Examples