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Preface
1 Getting Started
2 Essentials of the R Language
3 Data Input
4 Data frames
5 Graphics
6 Tables
7 Mathematics
8 Classical Tests
9 Statistical Modelling
10 Regression
11 Analysis of Variance
12 Analysis of Covariance
13 Generalized Linear Models
14 Count Data
15 Count Data in Tables
16 Proportion Data
17 Binary Response Variables
18 Generalized Additive Models
19 Mixed-Effects Models
20 Non-linear Regression
21 Meta-analysis
22 Bayesian statistics
23 Tree Models
24 Time Series Analysis
25 Multivariate Statistics
26 Spatial Statistics
27 Survival Analysis
28 Simulation Models
29 Changing the Look of Graphics
References and Further Reading
Index
About the Author
Michael J. Crawley FRS -- Department of Biological Sciences, Imperial College of Science, Technology and Medicine
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