![](/c49/30/1392615690.jpg)
出版社:東南大學 ISBN:9787564149062 商品編碼:1392615690 開本:16 出版時間:2014-09-01 代碼:67 作者:科頓
" 基本信息 - 商品名稱:學習R語言(影印版)
- 作者:(美)科頓
- 代碼:67
- 出版社:東南大學
- ISBN號:9787564149062
其他參考信息 - 出版時間:2014-09-01
- 印刷時間:2014-09-01
- 版次:1
- 印次:1
- 開本:16開
- 包裝:平裝
- 頁數:377
- 字數:490千字
內容提要 即使你僅有極少甚至沒有編程經驗,你也能夠學 會如何使用R語言 及其軟件環境來進行數據分析。通過由科頓編著的這 本《學習R語言(影印版)》中的指導,你 將學習如何使用你需要知道的必要R工具來分析數據 ,包括數據類 型和編程概念。 本書的第二部分將通過涵蓋從導入數據到發布數 據的所 有細節來為你展示實際生活中的數據分析。本書的每 個章節都包 含一個基於你所學到知識的小測驗並以習題結束,大 部分習題都 需要編寫R代碼。 作者簡介 Richard Cotton是The Damned Liars統計咨詢公司的創辦者。他是一名具有化學衛生與安全方面背景的數據科學家。他致力於為非技術人員訪問統計模型而開發工具。Richard也是多個R包的作者。 目錄 Preface Part I. The R Language 1. Introduction Chapter Goals What Is R? Installing R Choosing an IDE Emacs + ESS Eclipse/Architect RStudio Revolution-R Live-R Other IDEs and Editors Your First Program How to Get Help in R Installing Extra Related Software Summary Test Your Knowledge: Quiz Test Your Knowledge: Exercises 2. A Scientific Calculator Chapter Goals Mathematical Operations and Vectors Assigning Variables Special Numbers Logical Vectors Summary Test Your Knowledge: Quiz Test Your Knowledge: Exercises 3. Inspecting Variables and Your Workspace Chapter Goals Classes Different Types of Numbers Other Common Classes Checking and Changing Classes Examining Variables The Work, space Summary Test Your Knowledge: Quiz Test Your Knowledge: Exercises 4. Vectors, Matrices, and Arrays Chapter Goals Vectors Sequences Lengths Names Indexing Vectors Vector Recycling and Repetition Matrices and Arrays Creating Arrays and Matrices Rows, Columns, and Dimensions Row, Column, and Dimension Names Indexing Arrays Combining Matrices Array Arithmetic Summary Test Your Knowledge: Quiz Test Your Knowledge: Exercises 5. Lists and Data Frames Chapter Goals Lists Creating Lists Atomic and Recursive Variables List Dimensions and Arithmetic Indexing Lists Converting Between Vectors and Lists …… 6. Environments and Functions 7. Strings and Factors 8. Flow Control and Loops 9. Advanced Looping 10. Packages 11. Dates and Times Part II. The Data Analysis Workflow 12. Getting Data 13. Cleaning and Transforming 14. Exploring and Visualizing 15. Distributions and Modeling 16. Programming 17. Making Packages Part III. Appendixes A. Properties of Variables B. Other Things to Do in R C. Answers to Quizzes D. Solutions to Exercises Bibliography Index
" |