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Efficient R Programming: A Practical Guide to Smarter Programming
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 instructorsDive into a wide range of topics, including RStudio set-up and leveraging C++, suitable for all skill levelsGain insight into RStudio s functionality to boost code-writing productivityLearn the necessary skills for team-based R programming workSave time, and energy, debugging code and searching online forums"
219 pages, Paperback
First published December 8, 2016
15 people are currently reading
77 people want to read
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Displaying 1 - 6 of 6 reviews
May 28, 2020
Somewhere between Advanced R, R4DS, and the Art of R Programming (did I forget another?) I believe this deserves a spot on the bookshelf of a regular R user. Or, as the price tag is quite heavy, at least a bookmark of the free ebook version, which is regularly updated it seems: .
Outside of R the book gives structural tips on programming in general (structure, style, version control, etc.) and also gives advice and hardware and the respective bottlenecks to keep in mind.
Outside of R the book gives structural tips on programming in general (structure, style, version control, etc.) and also gives advice and hardware and the respective bottlenecks to keep in mind.
December 2, 2018
Really useful and important read for R programmers.
June 22, 2021
Great book, very helpful!
Makes me thinking more not only the code to run, but how to make it efficiently running.
Makes me thinking more not only the code to run, but how to make it efficiently running.
October 24, 2016
Saving time is very important in (big) data science and Colin Gillespie makes a fair point in refering it throughout the book.
Luckily, the book is not only the representation of the author to identify this recurring problem, it is also filled with suggestions on how to speed up your coming across different steps - from the actual typing of the keys to the optimization, featuring two very interesting chapters on sharing your code and making it available and on how to correctly (and effectively) learn how to use different and search for new packages and functions.
Luckily, the book is not only the representation of the author to identify this recurring problem, it is also filled with suggestions on how to speed up your coming across different steps - from the actual typing of the keys to the optimization, featuring two very interesting chapters on sharing your code and making it available and on how to correctly (and effectively) learn how to use different and search for new packages and functions.
October 12, 2016
Basically a worse version of content covered in Advanced R, and R for data science (Wickham's books).
October 2, 2024
Simply a great book, chock full of tips and techniques for improving one's work with R.
Displaying 1 - 6 of 6 reviews
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