Efficient R programming
Both authors give practical advice on a range of topics—from optimizing set-up of RStudio to leveraging C++—that make this book a valuable asset for both experienced and novice programmers.
Tag(s): R Statistics
Publication date: 17 May 2016
ISBN-10: 1491950781
ISBN-13: 9781491950784
Paperback: 150 pages
Views: 12,775
Efficient R programming
Both authors give practical advice on a range of topics—from optimizing set-up of RStudio to leveraging C++—that make this book a valuable asset for both experienced and novice programmers.
Publication date: 17 May 2016
ISBN-10: 1491950781
ISBN-13: 9781491950784
Paperback: 150 pages
Views: 12,775
Document Type: N/A
Publisher: O’Reilly Media, Inc.
License: n/a
Post time: 18 May 2016 07:00:00
Become a more productive programmer with Efficient R Programming. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace give practical advice on a range of topics—from optimizing set-up of RStudio to leveraging C++—that make this book a valuable asset for both experienced and novice programmers. It’s suitable for academics, business users, and programmers from a wide range of backgrounds.
- Get practical, tried-and-true advice from longtime R instructors
- Dive into a wide range of topics, including RStudio set-up and leveraging C++, suitable for all skill levels
- Gain insight into RStudio’s functionality to boost code-writing productivity
- Learn the necessary skills for team-based R programming work
- Save time, and energy, debugging code and searching online forums
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About The Author(s)
Colin Gillespie is Senior lecturer (Associate professor) at Newcastle University, UK. He has been running R courses for over five years at a variety of levels, ranging from beginners to advanced programming. During his academic career, he has also been employed as an external consultant at Shell, Burberry, Yorkshire Bank, KPMG, and Tesco Bank. His research interests are high performance statistical computing, Bayesian statistics and big data.
Colin Gillespie is Senior lecturer (Associate professor) at Newcastle University, UK. He has been running R courses for over five years at a variety of levels, ranging from beginners to advanced programming. During his academic career, he has also been employed as an external consultant at Shell, Burberry, Yorkshire Bank, KPMG, and Tesco Bank. His research interests are high performance statistical computing, Bayesian statistics and big data.
Robin Lovelace is a Research Fellow in Geospatial Analysis at University of Leeds. He earned his PhD in Geography from University of Sheffield.
Robin Lovelace is a Research Fellow in Geospatial Analysis at University of Leeds. He earned his PhD in Geography from University of Sheffield.