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R Packages: Organize, Test, Document, and Share Your Code,Used
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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 wellrespected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr
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- Q: What is the main focus of 'R Packages' by Hadley Wickham? A: The main focus of 'R Packages' is to teach readers how to organize, test, document, and share their R code by creating R packages, making it easier for others to download and use.
- Q: Who is the author of this book? A: The author of 'R Packages' is Hadley Wickham, a well-respected member of the R community known for creating popular R packages like ggplot2, dplyr, and tidyr.
- Q: What are some key tools covered in the book? A: The book covers essential tools such as devtools, roxygen, and testthat, which automate common development tasks in R package creation.
- Q: Is this book suitable for beginners? A: Yes, 'R Packages' starts with the basics, making it suitable for developers, data scientists, and programmers of various backgrounds, including beginners.
- Q: How many pages does the book have? A: The book contains 199 pages.
- Q: What is the binding type of this book? A: The book is available in paperback binding.
- Q: When was 'R Packages' published? A: The book was published on May 12, 2015.
- Q: What is the condition of the book? A: The book is in new condition.
- Q: What can I learn about R package submission? A: The book provides guidance on the best practices for submitting your R package to the Comprehensive R Archive Network (CRAN).
- Q: Does the book include tips on coding style? A: Yes, it offers tips on good coding style, including how to organize functions into files and streamline the development process.