Andrew Heiss • 4/13/2026

Generating universes within universes with a single seed

This article delves into the concept of random seeds in statistical computing, specifically using R's set.seed() function. It explains how a single seed generates a predetermined universe of pseudorandom numbers, enabling reproducible simulations and analyses. The post covers the underlying mechanics of pseudorandom number generation, the importance of seeds in Bayesian statistics and simulations, and practical examples with code. It is a technical tutorial aimed at statisticians, data scientists, and R users interested in randomness and reproducibility.

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#R #Reproducibility #Simulations