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: 13,314
Efficient R programming
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.