Find the analysis that looks like yours, copy the setup. This is a gallery indexed by what you're running — a 2×3 ANOVA on reaction times, a logistic regression with an interaction, a cluster-randomised trial — not by feature. Spot the page that mirrors your study, paste its Python or R setup, and change the names and numbers to match.

New to power analysis, or want the feature-by-feature walkthrough instead? The main guides cover that ground; this book is the recognition shortcut.

Families

• ANOVA — factor designs, main effects and interactions, post-hoc contrasts.
• OLS / linear regression — continuous outcomes, the largest family.
• GLM — binary outcomes (logistic regression).
• Linear mixed models — grouped / clustered continuous outcomes.
• Generalised linear mixed models — grouped / clustered binary outcomes.

Each example states the model as an MCPower formula, gives a copy-paste setup in both Python and R, and points you to the nearest neighbours if it isn't quite your design.