Essential Documentation for the pwr Package in R (2024)

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• R Package Documentation

Table of contents

• Title: Basic Functions for Power Analysis
• Description: Power analysis functions along the lines of Cohen (1988).
• Author: Stephane Champely [aut], Claus Ekstrom [ctb], Peter Dalgaard [ctb], Jeffrey Gill [ctb], Stephan Weibelzahl [ctb], Aditya Anandkumar [ctb], Clay Ford [ctb], Robert Volcic [ctb], Helios De Rosario [cre]
• Maintainer: Helios De Rosario (For contact information, visit our R community directory.)
• License type: GPL (>= 3) (For information about this license, visit the Open Source Initiative website.)

• Package website: The pwr package has a dedicated website. You can visit: https://github.com/heliosdrm/pwr.

• Version: In R, a version refers to a specific release of a package and can be used to track changes. To find the version number of the pwr package in the R console, you can use the packageVersion("pwr") function.
• Compilation requirements: Some R packages include internal code that must be compiled for them to function correctly. The pwr package does not have compilation requirements.
• Required dependencies: A required dependency refers to another package that is essential for the functioning of the main package. The pwr package has no required dependencies.
• Suggested dependencies: A suggested dependency adds extra features to the main package, but the main package can work without it. The pwr package has the following suggested dependencies: ggplot2, scales, knitr, rmarkdown.
• External dependencies: External dependencies are other packages that the main package depends on for linking at compile time. The pwr package does not use any external sources.
• Imported packages: Importing packages allows developers to leverage existing code and functionalities without having to reinvent the wheel. The pwr package has the following imported packages: stats, graphics.
• Enhancements: Enhancements help developers expand the capabilities of their packages without starting from scratch. The pwr package has no enhancements.

• Functions: Functions play a crucial role in R packages. They allow you to perform specific tasks and computations efficiently. To identify the functions in the pwr package, you can use the ls("package:pwr") function.
• Datasets: Many R packages include built-in datasets that you can use to familiarize yourself with their functionalities. To identify any built-in datasets in the pwr package, you can use the data(package = "pwr") function.
• Vignettes: R vignettes are documents that include examples for using a package. To view the list of available vignettes you can use the vignette(package = "pwr") function. This code will display a list of available vignettes you can read.
• Citation information: Citing R packages in your publications is important as it recognizes the contributions of the developers. To find the citation information for the pwr package in the R console, you can use the citation("pwr") function.

• The help() function: R’s built-in help system is a handy tool to find documentation. You can use the help("pwr") function to retrieve detailed information, examples, and usage instructions.
• The ? operator: The ? operator is a shortcut for the help() function. You can simply type ?pwr to quickly find documentation.
• Discussion forums: Online forums are excellent platforms to ask questions, share knowledge, and troubleshoot issues. The most popular forums for R programmers are StackOverflow and Posit Community.

• R Package Citations
• R Package Datasets
• R Package Vignettes