Simulating the Power of Statistical Tests: A Collection of R Examples

TL;DR

This paper demonstrates how to use R to simulate and calculate the power of various classical statistical tests, aiding researchers in understanding test effectiveness through practical examples.

Contribution

It provides a comprehensive collection of R code examples for simulating the power of multiple standard statistical tests, facilitating better planning and interpretation of statistical analyses.

Findings

R code for power simulation of t-tests, chi-squared tests, regression, and ANOVA

Illustrations of how simulation can assess test power in different scenarios

Practical guidance for researchers on using simulation to evaluate statistical test effectiveness

Abstract

This paper illustrates how to calculate the power of a statistical test by computer simulation. It provides R code for power simulations of several classical inference procedures including one- and two-sample t tests, chi-squared tests, regression, and analysis of variance.