The R Series - Advanced R - Wickham, Hadley

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Résumé :
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 00 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 , which provides a clean interface to low-level operations, and purr for functional programming . Use of color in code chunks and figures.

Biographie:
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.