| Summary, etc |
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.<br/><br/>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<br/>your code.<br/><br/>By reading this book, you will learn:<br/><br/> The difference between an object and its name, and why the distinction is important<br/><br/> The important vector data structures, how they fit together, and how you can pull them apart using subsetting<br/><br/> The fine details of functions and environments<br/><br/> The condition system, which powers messages, warnings, and errors<br/><br/> The powerful functional programming paradigm, which can replace many for loops<br/><br/> The three most important OO systems: S3, S4, and R6<br/><br/> The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation<br/><br/> Effective debugging techniques that you can deploy, regardless of how your code is run<br/><br/> How to find and remove performance bottlenecks<br/><br/>The second edition is a comprehensive update:<br/><br/> New foundational chapters: "Names and values," "Control flow," and "Conditions"<br/><br/> comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them<br/><br/> Much deeper coverage of metaprogramming, including the new tidy evaluation framework<br/><br/> 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<br/><br/> Use of color in code chunks and figures<br/><br/> 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. |
