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Download a sample chapter from Hadley Wickham's forthcoming book, before it gets published!


  • Describes the skills necessary to be an advanced R programmer
  • Presents the fundamentals of R, such as how to perform operations on complex data types and how to use the four object systems in R
  • Enables you to use existing functional programming tools and create your own
  • Explains how to create functions that use non-standard evaluation in a principled way
  • Shows how to use profiling to pinpoint performance bottlenecks and how to convert slow R functions to fast C++ equivalents
  • Gives you the ability to comfortably read and understand the majority of R code, including recognizing common idioms and critiquing others’ code


An Essential Reference for Intermediate and Advanced R Programmers

Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R.

The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn:

  • The fundamentals of R, including standard data types and functions
  • Functional programming as a useful framework for solving wide classes of problems
  • The positives and negatives of metaprogramming
  • How to write fast, memory-efficient code

This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Table of Contents

Introduction. Data Structures. Subsetting. Vocabulary. Style Guide. Functions. OO Field Guide. Environments. Debugging, Condition Handling, and Defensive Programming. Functional Programming. Functionals. Function Operators. Non-Standard Evaluation. Metaprogramming. Domain-Specific Languages. Performance. Optimising Code. Memory. High Performance Functions with Rcpp. R’s C Interface.

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