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R Packages: Organize, Test, Document, and Share Your Code
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  • Title: R Packages: Organize, Test, Document, and Share Your Code
  • Author(s): Hadley Wickham
  • Publisher: O'Reilly Media; 1st edition (January 31, 2017); eBook (2nd Edition, 2023)
  • Paperback: 518 pages
  • eBook: HTML
  • Language: English
  • ISBN-10: 1491910399
  • ISBN-13: 978-1491910399
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Book Description

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you'll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language.

Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure.

  • Learn about the most useful components of an R package, including vignettes and unit tests
  • Automate anything you can, taking advantage of the years of development experience embodied in devtools
  • Get tips on good style, such as organizing functions into files
  • Streamline your development process with devtools
  • Learn the best way to submit your package to the Comprehensive R Archive Network (CRAN)
  • Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr

The goal of this book is to teach you how to develop packages so that you can write your own, not just use other people's.

Why write a package? One compelling reason is that you have code that you want to share with others. Bundling your code into a package makes it easy for other people to use it, because like you, they already know how to use packages. If your code is in a package, any R user can easily download it, install it and learn how to use it.

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