Efficient R programming

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: 4,641

Type: N/A

Publisher: O’Reilly Media, Inc.

License: n/a

Post time: 18 May 2016 06:00:00

Efficient R programming

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: 4,641
Document Type: N/A
Publisher: O’Reilly Media, Inc.
License: n/a
Post time: 18 May 2016 06:00:00
From the Back Cover:

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




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

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

Robin Lovelace is a Research Fellow in Geospatial Analysis at University of Leeds. He earned his PhD in Geography from University of Sheffield.


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