**Preface**

**PART I THE LANGUAGE**

1 Getting Started

2 Numerics, Arithmetic, Assignment, and Vectors

3 Matrices and Arrays

4 Non-numeric Values

5 Lists and Data Frames

6 Special Values, Classes, and Coercion

7 Basic Plotting

8 Reading and Writing Files

**PART II PROGRAMMING**

9 Calling Functions

10 Conditions and Loops

11 Writing Functions

12 Exceptions, Timings, and Visibility

**PART III STATISTICS AND PROBABILITY**

13 Elementary Statistics

14 Basic Data Visualization

15 Probability

16 Common Probability Distributions

**PART IV STATISTICAL TESTING AND MODELING**

17 Sampling Distributions and Confidence

18 Hypothesis Testing

19 Analysis of Variance

20 Simple Linear Regression

21 Multiple Linear Regression

22 Linear Model Selection and Diagnostics

**PART V ADVANCED GRAPHICS**

23 Advanced Plot Customization

24 Going Further with the Grammar of Graphics

25 Defining Colors and Plotting in Higher Dimensions

26 Interactive 3D Plots (AVAILABLE NOW)

** APPENDICES**

A Installing R and Contributed Packages

B Working with RStudio (AVAILABLE NOW)

**Bibliography**

View the detailed Table of Contents (PDF)

View the Index (PDF)