Overview

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 the package development philosophy used in the package known as the tidyverse (and beyond). In the process, you'll work with devtools, usethis, roxygen2, and testthat, a set of R packages that automate common development tasks. Ideal for developers and data scientists, this book gets you creating packages ASAP, then shows you how to get progressively better over time. You'll learn to focus on what you want your package to do, rather than thinking about package structure. Learn the key components of an R package, including code, documentation, and tests. Get tips on good style, such as organizing functions into files. Streamline your development process with usethis, devtools, and RStudio. Create high quality packages by combining unit tests and continuous integration on GitHub. Maximize your chances of a positive CRAN submission. Turn your existing documentation into a beautiful and user friendly website with pkgdown.

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9781098134945

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Hadley Wickham is Chief Scientist at RStudio and a member of the R Foundation. He builds tools (both computational and cognitive) that make data science easier, faster, and more fun. His work includes packages for data science (ggplot2, dplyr, tidyr), data ingest (readr, readxl, haven), and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and frequent speaker promoting the use of R for data science. Learn more on his homepage, https: //hadley.nz/. Jennifer Bryan is a Software Engineer at RStudio and a member of the R Foundation. She part of the tidyverse team that collectively maintains >150 R packages. Jennifer maintains packages for importing tabular data (readxl, googlesheets4, readr, vroom), working with Google APIs (googledrive, gargle, gmailr), and simplifying development workflows (reprex, usethis, devtools). In her first career, Jennifer was an Associate Professor of Statistics at the University of British Columbia, where she created courses and programs in what we now know as data science. Learn more on her homepage, https: //jennybryan.org/.

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