R Packages
Organize, Test, Document, and Share Your Code
(Sprache: Englisch)
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.
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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.
Autoren-Porträt von Hadley Wickham, Jennifer Bryan
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/.
Bibliographische Angaben
- Autoren: Hadley Wickham , Jennifer Bryan
- 2023, 2nd Edition, 250 Seiten, Maße: 17,9 x 22,7 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 109813494X
- ISBN-13: 9781098134945
Sprache:
Englisch
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