R Packages

Organize, Test, Document, and Share Your Code

Hadley Wickham (Autor)

Buch | Softcover

202 Seiten

2015
O'Reilly Media (Verlag)
978-1-4919-1059-7 (ISBN)

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Packages are the fundamental units of reproducible R code. This book shows you how to turn your code into packages that others can easily download and use. It helps you to start with the basics and improve your package writing over time.

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

Hadley Wickham is an Assistant Professor and the Dobelman FamilyJunior Chair in Statistics at Rice University. He is an active memberof the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualization. His research focuses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualization to better understand data and models.

Erscheint lt. Verlag	28.4.2015
Verlagsort	Sebastopol
Sprache	englisch
Maße	150 x 250 mm
Gewicht	666 g
Einbandart	Paperback
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
	Mathematik / Informatik ► Mathematik ► Statistik
Schlagworte	R (Programmiersprache) • R (Programmiersprache); Handbuch/Lehrbuch • Statistik • Statistiksoftware
ISBN-10	1-4919-1059-3 / 1491910593
ISBN-13	978-1-4919-1059-7 / 9781491910597
Zustand	Neuware