Efficient R Programming: A Practical Guide to Smarter Programming
Gillespie, Colin; Lovelace, Robin
Language: English
Published by O'Reilly Media, 2017
- Softcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
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In English.
Seller Inventory # ria9781491950784_new
- Title
- Efficient R Programming: A Practical Guide to Smarter Programming
- Author
- Gillespie, Colin; Lovelace, Robin
- Publisher
- O'Reilly Media
- Publication year
- 2017
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1491950781
- ISBN 13
- 9781491950784
- Item weight
- 536 grams
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively―until now. This hands-on book teaches novices and experienced R users how to write efficient R code.
Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics―from optimizing the set-up of RStudio to leveraging C++―that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming.
- Get advice for setting up an R programming environment
- Explore general programming concepts and R coding techniques
- Understand the ingredients of an efficient R workflow
- Learn how to efficiently read and write data in R
- Dive into data carpentry―the vital skill for cleaning raw data
- Optimize your code with profiling, standard tricks, and other methods
- Determine your hardware capabilities for handling R computation
- Maximize the benefits of collaborative R programming
- Accelerate your transition from R hacker to R programmer
"Synopsis" may belong to another edition of this title.
About the Author
Robin Lovelace is a researcher at the Leeds Institute for Transport Studies (ITS) and the Leeds Institute for Data Analytics (LIDA). Robin has many years using R for academic research and has taught numerous R courses at all levels. He has developed a number of popular R resources, including Introduction to Visualising Spatial Data in R and Spatial Microsimulation with R (Lovelace and Dumont 2016). These skills have been applied on a number of projects with real-world applications, including the Propensity to Cycle Tool, a nationally scalable interactive online mapping application and the stplanr package.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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