In this book we will display a variety of ways the Superpower package can be used for power analysis and sample size planning for factorial experimental designs. Reading through the examples in this book, and reproducing them in the Shiny apps, is probably the easiest way to get started with power analyses in Superpower. However, we have created two Shiny apps (for the ANOVA_power & ANOVA_exact functions respectively) to help use Superpower if you are not familiar with R. This package, and book, expect readers to have some familiarity with R ( 2020). Calculating post hoc power is not a useful thing to do for single studies. The R package is intended to be utilized for prospective (a priori) power analysis. The goal of Superpower is to easily simulate factorial designs and empirically calculate power using a simulation approach. This book was compiled with R version 4.0.3 (). If you have any comments to improve this book, let us know. 15.8.1 Reproducing Brysbaert Variation 1: Changing Correlation.Appendix 2: Direct Comparison to MOREpower.Appendix 1: Direct Comparison to pwr2ppl.15.3 Conclusion on a Binary RCT with Interim Analyses.15.2 Binary RCT with a Interim Analysis.
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