R in Action：Data Analysis and Graphics with R

R in Action：Data Analysis and Graphics with R

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作者: Robert Kabacoff

出版社: Manning Publications

出版时间: 2015-06

ISBN: 9781617291388

装帧: 其他

开本: 其他

纸张: 其他

分类: 外文古旧书>英文书>计算机与互联网

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R is a powerful tool for statistical computing and graphics. Unlike general purpose programming languages, R speaks the language of data analysis. It's perfect for business pros, social scientists, and researchers who need to make sense out of raw info Dr. Rob Kabacoff is a seasoned researcher who specializes in data analysis. He has taught graduate courses in statistical programming and manages the Quick-R website at statmethods.net. PART 1: GETTING STARTED
1. Introduction To R - FREE
2. Creating a Dataset - AVAILABLE
3. Getting started with graphs - AVAILABLE
4. Basic Data Management
5. Advanced data management
PART 2: BASIC METHODS
6. Basic Graphs
7. Basic Statistics
PART 3: INTERMEDIATE METHODS
8. Regression
9. Analysis of Variance
10. Power Analysis
11. Intermediate Graphs
12. Resampling statistics and bootstrapping
PART 4: ADVANCED METHODS
13. Generalized Linear Models
14. Principal Components and Factor Analysis
15. Time Series Analysis
16. Cluster Analysis
17. Classification Methods
18. Advanced methods for missing data
19. Advanced Graphs
20. Advanced R Programming
APPENDIXES:
A Graphic user interfaces
B Customizing the startup environment
C Exporting Data from R
D Creating publication-quality output
E Matrix Algebra in R
F Packages used in this book
G Working with large datasets
H Updating an R installation
内容简介:
R is a powerful tool for statistical computing and graphics. Unlike general purpose programming languages, R speaks the language of data analysis. It's perfect for business pros, social scientists, and researchers who need to make sense out of raw info
作者简介:
Dr. Rob Kabacoff is a seasoned researcher who specializes in data analysis. He has taught graduate courses in statistical programming and manages the Quick-R website at statmethods.net.
目录:
PART 1: GETTING STARTED
1. Introduction To R - FREE
2. Creating a Dataset - AVAILABLE
3. Getting started with graphs - AVAILABLE
4. Basic Data Management
5. Advanced data management
PART 2: BASIC METHODS
6. Basic Graphs
7. Basic Statistics
PART 3: INTERMEDIATE METHODS
8. Regression
9. Analysis of Variance
10. Power Analysis
11. Intermediate Graphs
12. Resampling statistics and bootstrapping
PART 4: ADVANCED METHODS
13. Generalized Linear Models
14. Principal Components and Factor Analysis
15. Time Series Analysis
16. Cluster Analysis
17. Classification Methods
18. Advanced methods for missing data
19. Advanced Graphs
20. Advanced R Programming
APPENDIXES:
A Graphic user interfaces
B Customizing the startup environment
C Exporting Data from R
D Creating publication-quality output
E Matrix Algebra in R
F Packages used in this book
G Working with large datasets
H Updating an R installation

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