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
