Advanced R, Second Edition (Chapman & Hall/CRC The R Series)

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

Wickham, Hadley

Reference

Chapman and Hall/CRC

Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures

ggplot2: Elegant Graphics for Data Analysis (Use R!)

Computers & Technology

Programming

Springer

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: <ul>
 <li>The difference between an object and its name, and why the distinction is important</li> <li>The important vector data structures, how they fit together, and how you can pull them apart using subsetting </li> <li>The fine details of functions and environments </li> <li>The condition system, which powers messages, warnings, and errors</li> <li>The powerful functional programming paradigm, which can replace many for loops</li> <li>The three most important OO systems: S3, S4, and R6</li> <li>The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation</li> <li>Effective debugging techniques that you can deploy, regardless of how your code is run</li> <li>How to find and remove performance bottlenecks</li> 
</ul>
 The second edition is a comprehensive update: <ul>
 <li>New foundational chapters: "Names and values," "Control flow," and "Conditions" </li> <li>comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them</li> <li>Much deeper coverage of metaprogramming, including the new tidy evaluation framework</li> <li>use of new package like rlang (rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (purrr.tidyverse.org/) for functional programming</li> <li>Use of color in code chunks and figures</li> 
</ul>

Advanced R Solutions (Chapman & Hall/CRC The R Series)

This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming challenges, many of which are relevant to everyday work. This will expand your set of tools on a technical and conceptual level. You will be able to transfer many of the specific programming schemes directly and will discover far more elegant solutions to everyday problems. 
Features: 
When R creates copies, and how it affects memory usage and code performance 
Everything you could ever want to know about functions 
The differences between calling and exiting handlers 
How to employ functional programming to solve modular tasks 
The motivation, mechanics, usage, and limitations of R's highly pragmatic S3 OO system 
The R6 OO system, which is more like OO programming in other languages 
The rules that R uses to parse and evaluate expressions 
How to use metaprogramming to generate HTML or LaTeX with elegant R code 
How to identify and resolve performance bottlenecks

Business & Money

Grosser, Malte

Bumann, Henning

Education & Reference

Routledge

Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that maintains the "tidyverse" suite of packages. In the process, you'll learn how to automate common development tasks using a set of R packages, including devtools, usethis, testthat, and roxygen2. 
Authors Hadley Wickham and Jennifer Bryan from Posit (formerly known as RStudio) help you create packages quickly, then teach you how to get better over time. You'll be able to focus on what you want your package to do as you progressively develop greater mastery of the structure of a package. 
With this book, you will: Learn the key components of an R package, including code, documentation, and tests Streamline your development process with devtools and the RStudio IDE Get tips on effective habits such as organizing functions into files Get caught up on important new features in the devtools ecosystem Learn about the art and science of unit testing, using features in the third edition of testthat Turn your existing documentation into a beautiful and user friendly website with pkgdown Gain an appreciation of the benefits of modern code hosting platforms, such as GitHub

R Packages: Organize, Test, Document, and Share Your Code

Bryan, Jennifer

Programming Languages

O'Reilly Media

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what‘s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Advanced R

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: <ul>
<li>The fundamentals of R, including standard data types and functions</li> <li>Functional programming as a useful framework for solving wide classes of problems</li> <li>The positives and negatives of metaprogramming </li> <li>How to write fast, memory-efficient code </li>
</ul> This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Advanced R (Chapman & Hall/CRC The R Series)

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.
Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.
You’ll learn how to:
<ul>
<li>
Wrangle—transform your datasets into a form convenient for analysis</li>
<li>
Program—learn powerful R tools for solving data problems with greater clarity and ease</li>
<li>
Explore—examine your data, generate hypotheses, and quickly test them</li>
<li>
Model—provide a low-dimensional summary that captures true "signals" in your dataset</li>
<li>
Communicate—learn R Markdown for integrating prose, code, and results</li>
</ul>

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Grolemund, Garrett

Software

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language.
Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure.
<ul>
<li>Learn about the most useful components of an R package, including vignettes and unit tests</li>
<li>Automate anything you can, taking advantage of the years of development experience embodied in devtools</li>
<li>Get tips on good style, such as organizing functions into files</li>
<li>Streamline your development process with devtools</li>
<li>Learn the best way to submit your package to the Comprehensive R Archive Network (CRAN)</li>
<li>Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr</li>
</ul>

See the best price to sell, buy, or rent books by Wickham, Hadley. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Wickham, Hadley

See the best price to sell, buy, or rent books by Wickham, Hadley. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Advanced R, Second Edition (Chapman & Hall/CRC The R Series)

ggplot2: Elegant Graphics for Data Analysis (Use R!)

Advanced R, Second Edition (Chapman & Hall/CRC The R Series)

Advanced R Solutions (Chapman & Hall/CRC The R Series)

Advanced R Solutions (Chapman & Hall/CRC The R Series)

R Packages: Organize, Test, Document, and Share Your Code

Advanced R

Advanced R (Chapman & Hall/CRC The R Series)

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

R Packages: Organize, Test, Document, and Share Your Code