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Efficient R Programming: A Practical Guide to Smarter Programming
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Efficient R Programming: A Practical Guide to Smarter Programming

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3.90  ·  Rating details ·  42 ratings  ·  6 reviews
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, busines ...more
Paperback, 222 pages
Published January 2nd 2017 by O'Reilly Media
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Vysloczil
May 28, 2020 rated it liked it
Shelves: programming
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: https://csgillespie.github.io/efficie....
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
...more
Lambda Moses
Mar 20, 2019 rated it it was amazing
This is another R book I would definitely recommend to those who are new to R. As an experienced useR, I already know most of the information in this book, but I nevertheless learnt some cool new tricks I didn't know about before, such as the rio package for file IO and automatically formatting code in RStudio. Now I really love RStudio more.
Lilli
Dec 01, 2018 rated it really liked it
Really useful and important read for R programmers.
James Igoe
May 25, 2017 rated it it was amazing  ·  review of another edition
Simply a great book, chock full of tips and techniques for improving one's work with R.
José
Oct 23, 2016 rated it really liked it
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) l
...more
Emil O. W. Kirkegaard
Basically a worse version of content covered in Advanced R, and R for data science (Wickham's books).
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There's something great about a paperback book: They're perfect book club choices, you can throw them in your bag and go, and they've been out in...
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