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        計算機書籍控

        R語言技術手冊(第2版)

           如果你選擇R語言用于統計計算和數據可視化,那么《R語言技術手冊(影印版第2版)》將可以為你提供開源R語言及其軟件環境的快速實用指南。你將學習如何編寫R函數和使用R包來幫助你準備、可視化和分析數據。本書作者Joseph Adler(艾德勒)講解了來自醫藥、商業和體育方面大量實例的處理過程。    本次第二版更新基于R語言2.14和2.15版本,包括了這樣一些新的擴展章節:R性能、ggplot2數據可視化包和基于Hadoop的并行R計算。
        

        目錄

        
        Preface
        Part Ⅰ. R Basics
          1. Getting and Installing R
          R Versions
          Getting and Installing Interactive R Binaries
          Windows
          Mac OS X
          Linux and Unix Systems
          2. The R Userlnterface
          The R Graphical User Interface
          Windows
          Mac OS X
          Linux and Unix
          The R Console
          Command-Line Editing
          Batch Mode
          Using R Inside Microsoft Excel
          RStudio
          Other Ways to Run R
          3. AShort RTutorial
          Basic Operations in R
          Functions
          Variables
          Introduction to Data Structures
          Objects and Classes
          Models and Formulas
          Charts and Graphics
          Getting Help
        4. R Packages
          An Overview of Packages
          Listing Packages in Local Libraries
          Loading Packages
          Loading Packages on Windows and Linux
          Loading Packages on Mac OS X
          Exploring Package Repositories
          Exploring R Package Repositories on the Web
          Finding and Installing Packages Inside R
          Installing Packages From Other Repositories
          Custom Packages
          Creating a Package Directory
          Building the Package
        Part Ⅱ. The R Language
        5. An Overview of the R Language
          Expressions
          Objects
          Symbols
          Functions
          Objects Are Copied in Assignment Statements
          Everything in R Is an Object
          Special Values
          NA
          Inf and -Inf
          NaN
          NULL
          Coercion
          The R Interpreter
          Seeing How R Works
        6. R Syntax
          Constants
          Numeric Vectors
          Character Vectors
          Symbols
          Operators
          Order of Operations
        ……
        7. R Objects
        8. Symbols and Environments
        9. Functions.
        10. Object-Oriented Programming
        Part Ⅲ. Working with Data
        11. Saving, Loading, and Editing Data
        12. Preparing Data
        Part Ⅳ. Data Visualization
        13. Graphics
        14. Lattice Graphics
        15. ggplot2
        Part Ⅴ. Statistics with R
        16. Analyzing Data
        17. Probability Distributions
        18. Statistical Tests
        19. Power Tests
        20. Regression Models
        21. Classification Models
        22. Machine Learning
        23. Time Series Analysis
        Part Ⅵ. Additional Topics
        24. Optimizing R Programs
        25. Bioconductor
        26. Rand Hadoop
        Appendix: R Reference
        Bibliography
        Index
        

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        R語言技術手冊(第2版)

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