R Packages
Organize, Test, Document, and Share Your Code
- Publisher's listprice GBP 35.99
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17 194 Ft (16 375 Ft + 5% VAT)
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- Discount 10% (cc. 1 719 Ft off)
- Discounted price 15 474 Ft (14 738 Ft + 5% VAT)
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17 194 Ft
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher O?Reilly
- Date of Publication 31 March 2015
- Number of Volumes Print PDF
- ISBN 9781491910597
- Binding Paperback
- No. of pages202 pages
- Size 232x181x11 mm
- Weight 364 g
- Language English 0
Categories
Long 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&&&8217;s package development philosophy. In the process, you&&&8217;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&&&8217;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
R Packages: Organize, Test, Document, and Share Your Code
17 194 HUF
15 474 HUF
