Advanced R, Second Edition

Hadley Wickham

• Publisher: Chapman and Hall/CRC
• Year: 2019
• Print ISBN: 9781032006635
• eBook ISBN: 9781351201292
• Edition: 2
• Topic: Mathematics
• Subtopic: Probability & Statistics
• Index: Mathematics

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:

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• The difference between an object and its name, and why the distinction is important

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• The important vector data structures, how they fit together, and how you can pull them apart using subsetting

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• The fine details of functions and environments

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• The condition system, which powers messages, warnings, and errors

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• The powerful functional programming paradigm, which can replace many for loops

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• The three most important OO systems: S3, S4, and R6

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• The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation

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• Effective debugging techniques that you can deploy, regardless of how your code is run

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• How to find and remove performance bottlenecks

The second edition is a comprehensive update:

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• New foundational chapters: "Names and values, " "Control flow, " and "Conditions"

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• comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them

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• Much deeper coverage of metaprogramming, including the new tidy evaluation framework

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• 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

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• 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.

Table of contents

• Cover
• Half Title
• Series Page
• Title Page
• Copyright Page
• Dedication
• Table of Contents
• Preface
• 1 Introduction
• I Foundations
• II Functional programming
• III Object-oriented programming
• IV Metaprogramming
• V Techniques
• Bibliography
• Index