R in Action (MEAP)下载

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Part 1 Preparing the data
1 Introduction to R
2 Creating a dataset
3 Basic data management
4 Advanced data management
Part 2 Basic statistics and graphs
5 Basic statistics
6 Basic graphs
Part 3 Intermediate statistics and graphs
7 Multiple (linear) regression
8 Analysis of variance
9 Resampling statistics and bootstrapping
10 Power analysis
11 Intermediate graphs
Part 4 Advanced statistics and graphs
12 Generalized linear models
13 Principal components and factor analysis
14 Other multivariate methods
15 Advanced methods for missing data
16 Advanced graphs
Appendix A: Graphical user interfaces for R
Appendix B: Customizing the startup environment
Appendix C: Exporting data from R
Appendix D: Creating publication quality output
Appendix E: Matrix algebra in R

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