Advanced R, Second Edition
Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special.

This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising
your code.

By reading this book, you will learn:

  • The difference between an object and its name, and why the distinction is important
  • The important vector data structures, how they fit together, and how you can pull them apart using subsetting
  • The fine details of functions and environments
  • The condition system, which powers messages, warnings, and errors
  • The powerful functional programming paradigm, which can replace many for loops
  • The three most important OO systems: S3, S4, and R6
  • The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation
  • Effective debugging techniques that you can deploy, regardless of how your code is run
  • How to find and remove performance bottlenecks

The second edition is a comprehensive update:

  • New foundational chapters: "Names and values," "Control flow," and "Conditions"
  • comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them
  • Much deeper coverage of metaprogramming, including the new tidy evaluation framework
  • use of new package like rlang (http://rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (http://purrr.tidyverse.org/) for functional programming
  • Use of color in code chunks and figures

    Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: Elegant Graphics for Data Analysis.

1133814658
Advanced R, Second Edition
Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special.

This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising
your code.

By reading this book, you will learn:

  • The difference between an object and its name, and why the distinction is important
  • The important vector data structures, how they fit together, and how you can pull them apart using subsetting
  • The fine details of functions and environments
  • The condition system, which powers messages, warnings, and errors
  • The powerful functional programming paradigm, which can replace many for loops
  • The three most important OO systems: S3, S4, and R6
  • The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation
  • Effective debugging techniques that you can deploy, regardless of how your code is run
  • How to find and remove performance bottlenecks

The second edition is a comprehensive update:

  • New foundational chapters: "Names and values," "Control flow," and "Conditions"
  • comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them
  • Much deeper coverage of metaprogramming, including the new tidy evaluation framework
  • use of new package like rlang (http://rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (http://purrr.tidyverse.org/) for functional programming
  • Use of color in code chunks and figures

    Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: Elegant Graphics for Data Analysis.

240.0 In Stock
Advanced R, Second Edition

Advanced R, Second Edition

by Hadley Wickham
Advanced R, Second Edition

Advanced R, Second Edition

by Hadley Wickham

Hardcover(2nd ed.)

$240.00 
  • SHIP THIS ITEM
    In stock. Ships in 3-7 days. Typically arrives in 3 weeks.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special.

This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising
your code.

By reading this book, you will learn:

  • The difference between an object and its name, and why the distinction is important
  • The important vector data structures, how they fit together, and how you can pull them apart using subsetting
  • The fine details of functions and environments
  • The condition system, which powers messages, warnings, and errors
  • The powerful functional programming paradigm, which can replace many for loops
  • The three most important OO systems: S3, S4, and R6
  • The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation
  • Effective debugging techniques that you can deploy, regardless of how your code is run
  • How to find and remove performance bottlenecks

The second edition is a comprehensive update:

  • New foundational chapters: "Names and values," "Control flow," and "Conditions"
  • comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them
  • Much deeper coverage of metaprogramming, including the new tidy evaluation framework
  • use of new package like rlang (http://rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (http://purrr.tidyverse.org/) for functional programming
  • Use of color in code chunks and figures

    Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: Elegant Graphics for Data Analysis.


Product Details

ISBN-13: 9780367255374
Publisher: CRC Press
Publication date: 06/03/2019
Series: Chapman & Hall/CRC The R Series
Edition description: 2nd ed.
Pages: 604
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: elegant graphics for data analysis.

Table of Contents

Introduction. Foundations. Data structures. Subsetting. Vocabulary. Style guide. Functions. OO field guide. Environments. Debugging, condition handling, and defensive programming. Functional Programming. Functional programming. Functionals. Function operators. Computing on the Language. Non-standard evaluation. Expressions. Domain-specific languages. Performance. Performance. Optimising code. Memory. High performance functions with Rcpp. R’s C interface.

From the B&N Reads Blog

Customer Reviews