1 Introduction

Chapters in this book

1. Frontmatter I
2. Preface to the second edition V
3. Contents VII
4. 1 Introduction 1
5. Part I: Introduction to R
6. 2 Overview of programming paradigms 9
7. 3 Setting up and installing the R program 23
8. 4 Installation of R packages 26
9. 5 Introduction to programming in R 30
10. 6 Creating R packages 76
11. Part II: Graphics in R
12. 7 Basic plotting functions 93
13. 8 Advanced plotting functions: ggplot2 114
14. 9 Visualization of networks 129
15. Part III: Mathematical basics of data science
16. 10 Mathematics as a language for science 147
17. 11 Computability and complexity 166
18. 12 Linear algebra 176
19. 13 Analysis 225
20. 14 Differential equations 249
21. 15 Dynamical systems 262
22. 16 Graph theory and network analysis 299
23. 17 Probability theory 325
24. 18 Optimization 369
25. Bibliography 397
26. Index 405