R in a Nutshell, 2/e (Paperback)
            
暫譯: R 精要手冊 (第二版)
        
        Joseph Adler
- 出版商: O'Reilly
- 出版日期: 2012-11-13
- 定價: $2,100
- 售價: 9.5 折 $1,995
- 貴賓價: 9.0 折 $1,890
- 語言: 英文
- 頁數: 724
- 裝訂: Paperback
- ISBN: 144931208X
- ISBN-13: 9781449312084
- 
    相關分類:
    
      R 語言
 
- 
    相關翻譯:
    
      R語言核心技術手冊(第2版) (簡中版)
 
立即出貨 (庫存 < 3)
買這商品的人也買了...
- 
                
                   Statistics and Data with R: An applied approach through examples (Hardcover) Statistics and Data with R: An applied approach through examples (Hardcover)$3,680$3,496
- 
                
                   Complex Surveys: A Guide to Analysis Using R (Paperback) Complex Surveys: A Guide to Analysis Using R (Paperback)$3,530$3,354
- 
                
                   Graphics for Statistics and Data Analysis with R (Hardcover) Graphics for Statistics and Data Analysis with R (Hardcover)$2,640$2,508
- 
                
                   $399R Cookbook (Paperback) $399R Cookbook (Paperback)
- 
                
                   The Clean Coder: A Code of Conduct for Professional Programmers (Paperback) The Clean Coder: A Code of Conduct for Professional Programmers (Paperback)$1,850$1,813
- 
                
                   $825R Graphics Cookbook (Paperback) $825R Graphics Cookbook (Paperback)
- 
                
                   體驗經濟時代 (10週年修訂版) 體驗經濟時代 (10週年修訂版)$420$332
- 
                
                   R and Data Mining: Examples and Case Studies (Hardcover) R and Data Mining: Examples and Case Studies (Hardcover)$2,640$2,508
- 
                
                   無瑕的程式碼 - 敏捷軟體開發技巧守則 (Clean Code: A Handbook of Agile Software Craftsmanship) 無瑕的程式碼 - 敏捷軟體開發技巧守則 (Clean Code: A Handbook of Agile Software Craftsmanship)$580$452
- 
                
                   雲端時代的殺手級應用:Big Data 海量資料分析 雲端時代的殺手級應用:Big Data 海量資料分析$360$306
- 
                
                   Arduino UNO R3 開發板(副廠相容版)附傳輸線 Arduino UNO R3 開發板(副廠相容版)附傳輸線$400$380
- 
                
                   第三次工業革命-世界經濟即將被顛覆,新能源與商務、政治、教育的全面革命 (The Third Industrial Revolution: How Lateral Power Is Transforming Energy) 第三次工業革命-世界經濟即將被顛覆,新能源與商務、政治、教育的全面革命 (The Third Industrial Revolution: How Lateral Power Is Transforming Energy)$420$332
- 
                
                   Doing Data Science: Straight Talk from the Frontline (Paperback) Doing Data Science: Straight Talk from the Frontline (Paperback)$1,881$1,782
- 
                
                   超圖解 Arduino 互動設計入門, 2/e 超圖解 Arduino 互動設計入門, 2/e$680$578
- 
                
                   Big Data Analytics with R and Hadoop(Paperback) Big Data Analytics with R and Hadoop(Paperback)$1,800$1,710
- 
                
                   $1,680An Introduction to Statistical Learning: With Applications in R (Hardcover) $1,680An Introduction to Statistical Learning: With Applications in R (Hardcover)
- 
                
                   ASP.NET MVC 5 網站開發美學 ASP.NET MVC 5 網站開發美學$780$616
- 
                
                   Advanced R (Paperback) Advanced R (Paperback)$2,610$2,480
- 
                
                   Python 程式設計入門 (適用於 2.x 與 3.x 版) Python 程式設計入門 (適用於 2.x 與 3.x 版)$620$484
- 
                
                   Data Algorithms: Recipes for Scaling Up with Hadoop and Spark (Paperback) Data Algorithms: Recipes for Scaling Up with Hadoop and Spark (Paperback)$2,185$2,070
- 
                
                   精通 Python|運用簡單的套件進行現代運算 (Introducing Python: Modern Computing in Simple Packages) 精通 Python|運用簡單的套件進行現代運算 (Introducing Python: Modern Computing in Simple Packages)$780$616
- 
                
                   零售4.0 : 零售革命,邁入虛實整合的全通路時代 零售4.0 : 零售革命,邁入虛實整合的全通路時代$450$383
- 
                
                   Hadoop + Spark 大數據巨量分析與機器學習整合開發實戰 Hadoop + Spark 大數據巨量分析與機器學習整合開發實戰$620$484
- 
                
                   利用R語言打通大數據的經脈, 2/e 利用R語言打通大數據的經脈, 2/e$490$417
- 
                
                   Think Python|學習程式設計的思考概念, 2/e (Think Python: How to Think Like a Computer Scientist, 2/e) Think Python|學習程式設計的思考概念, 2/e (Think Python: How to Think Like a Computer Scientist, 2/e)$520$411
商品描述
Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.
The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.
- Understand the basics of the language, including the nature of R objects
- Learn how to write R functions and build your own packages
- Work with data through visualization, statistical analysis, and other methods
- Explore the wealth of packages contributed by the R community
- Become familiar with the lattice graphics package for high-level data visualization
- Learn about bioinformatics packages provided by Bioconductor
"I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians."
--Martin Schultz, Arthur K. Watson Professor of Computer Science, Yale University
商品描述(中文翻譯)
為什麼要學習 R?因為它正迅速成為開發統計軟體的標準。《R in a Nutshell》提供了一種快速且實用的方式來學習這種日益受歡迎的開源語言和環境。您不僅會學會如何在 R 中編程,還會學會如何找到適合統計建模、視覺化和生物資訊學的用戶貢獻 R 套件。
作者將帶您了解 R 環境,包括 R 圖形用戶界面和控制台,並介紹物件導向 R 語言的基本概念。接著,通過來自醫學、商業和體育的各種實用範例,您將學會如何使用這個卓越的工具來解決自己的數據分析問題。
- 理解語言的基本概念,包括 R 物件的特性
- 學習如何編寫 R 函數並建立自己的套件
- 通過視覺化、統計分析和其他方法處理數據
- 探索 R 社群貢獻的豐富套件
- 熟悉用於高階數據視覺化的 lattice graphics 套件
- 了解 Bioconductor 提供的生物資訊學套件
「我對這本書感到興奮。《R in a Nutshell》是 R 的絕佳入門書,也是使用 R 進行數據分析和視覺化的全面參考。Adler 提供了‘真實世界’的範例、實用建議和腳本,使其對任何處理數據的人都易於接觸,而不僅僅是專業統計學家。」  
--馬丁·舒爾茨,耶魯大學計算機科學亞瑟·K·沃森教授

 
     
     
    
 
     
     
     
     
     
    