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學(xué)習(xí)R語(yǔ)言(影印版)

學(xué)習(xí)R語(yǔ)言(影印版)

定 價(jià):¥67.00

作 者: Ricbard Cotton 著
出版社: 東南大學(xué)出版社
叢編項(xiàng):
標(biāo) 簽: 暫缺

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ISBN: 9787564149062 出版時(shí)間: 2014-09-01 包裝: 平裝
開(kāi)本: 16開(kāi) 頁(yè)數(shù): 377 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  即使你僅有極少甚至沒(méi)有編程經(jīng)驗(yàn),你也能夠?qū)W會(huì)如何使用R語(yǔ)言及其軟件環(huán)境來(lái)進(jìn)行數(shù)據(jù)分析。通過(guò)由科頓編著的這本《學(xué)習(xí)R語(yǔ)言(影印版)》中的指導(dǎo),你將學(xué)習(xí)如何使用你需要知道的必要R工具來(lái)分析數(shù)據(jù),包括數(shù)據(jù)類型和編程概念。本書(shū)的第二部分將通過(guò)涵蓋從導(dǎo)入數(shù)據(jù)到發(fā)布數(shù)據(jù)的所有細(xì)節(jié)來(lái)為你展示實(shí)際生活中的數(shù)據(jù)分析。本書(shū)的每個(gè)章節(jié)都包含一個(gè)基于你所學(xué)到知識(shí)的小測(cè)驗(yàn)并以習(xí)題結(jié)束,大部分習(xí)題都需要編寫(xiě)R代碼。

作者簡(jiǎn)介

暫缺《學(xué)習(xí)R語(yǔ)言(影印版)》作者簡(jiǎn)介

圖書(shū)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

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