Press "Enter" to skip to content

Generating Random Numbers in R

Holger von Jouanne-Diedrich brings the noise:

In data science, we try to find, sometimes well-hidden, patterns (= signal) in often seemingly random data (= noise). Pseudo-Random Number Generators (PRNG) try to do the opposite: hiding a deterministic data generating process (= signal) by making it look like randomness (= noise). If you want to understand some basics behind the scenes of this fascinating topic, read on!

Click through for an explanation of the process.