Advanced R
2nd edition

Par : Hadley Wickham

Formats :

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  • Nombre de pages587
  • PrésentationBroché
  • FormatGrand Format
  • Poids0.965 kg
  • Dimensions15,7 cm × 23,3 cm × 3,8 cm
  • ISBN978-0-8153-8457-1
  • EAN9780815384571
  • Date de parution30/05/2019
  • CollectionThe R Series
  • ÉditeurCRC Press

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.
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.
R for Data Science
Hadley Wickham, Garrett Grolemund
Grand Format
54,10 €