Advanced R, 2/e (Paperback) (進階 R, 第二版 (平裝本))

Wickham, Hadley

Advanced R, 2/e (Paperback)
  • 出版商: CRC
  • 出版日期: 2019-05-30
  • 售價: $2,530
  • 貴賓價: 9.5 折 $2,404
  • 語言: 英文
  • 頁數: 604
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0815384572
  • ISBN-13: 9780815384571
  • 相關分類: R 語言
  • 相關翻譯: 高級 R語言編程指南, 2/e (簡中版)
  • 其他版本: Advanced R, Second Edition

    • 海外代購書籍(需單獨結帳)

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商品描述

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 OO 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 (http: //rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (http: //purrr.tidyverse.org/) for functional programming
  • 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.

     

 

商品描述(中文翻譯)

《Advanced R》幫助您深入了解R在基礎層面上的運作方式。這本書專為想要加深對R語言理解的R程式設計師以及有其他程式語言經驗的程式設計師而設計，讓他們了解R的不同之處和特殊之處。

本書將教授您R的基礎知識、三種基本的程式設計範式（函數式、物件導向和元程式設計），以及調試和優化程式碼的強大技巧。

通過閱讀本書，您將學到以下內容：

- 物件和其名稱之間的區別，以及這種區別的重要性
- 重要的向量資料結構，它們如何相互配合，以及如何使用子集來拆分它們
- 函數和環境的細節
- 條件系統，它支援訊息、警告和錯誤
- 強大的函數式程式設計範式，可以取代許多for迴圈
- 三個最重要的物件導向系統：S3、S4和R6
- 用於元程式設計的整潔評估工具包，可讓您操作程式碼並控制評估
- 無論程式碼如何運行，都可以使用的有效調試技巧
- 如何找到並消除效能瓶頸

第二版是一次全面的更新：

- 新增基礎章節：「名稱和值」、「控制流程」和「條件」
- 全面涵蓋物件導向程式設計，包括S3、S4、R6以及如何在它們之間選擇
- 更深入地介紹元程式設計，包括新的整潔評估框架
- 使用新的套件，如rlang（http://rlang.r-lib.org），提供對低層操作的清晰介面，以及purr（http://purrr.tidyverse.org/）用於函數式程式設計
- 在程式碼區塊和圖表中使用顏色

Hadley Wickham是RStudio的首席科學家，也是斯坦福大學和奧克蘭大學的兼職教授，以及R Foundation的成員。他是tidyverse的主要開發者，tidyverse是一個包含ggplot2和dplyr等R套件的集合，旨在支援數據科學。他還是《R for Data Science》（與Garrett Grolemund合著）、《R Packages》和《ggplot2: Elegant Graphics for Data Analysis》的作者。

作者簡介

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.

作者簡介(中文翻譯)

Hadley Wickham是RStudio的首席科學家，也是斯坦福大學和奧克蘭大學的兼職教授，同時也是R Foundation的成員。他是tidyverse的主要開發者，tidyverse是一個包含ggplot2和dplyr等R套件的集合，旨在支持數據科學。他還是《R for Data Science》（與Garrett Grolemund合著）、《R Packages》和《ggplot2: elegant graphics for data analysis》的作者。

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