There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code.

Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming.

Get advice for setting up an R programming environment

Explore general programming concepts and R coding techniques

Understand the ingredients of an efficient R workflow

Learn how to efficiently read and write data in R

Dive into data carpentry—the vital skill for cleaning raw data

Optimize your code with profiling, standard tricks, and other methods

Determine your hardware capabilities for handling R computation

Maximize the benefits of collaborative R programming

Accelerate your transition from R hacker to R programmer

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