Data Analysis with R, Second Edition

Table of Contents

1. RefresheR
2. The Shape of Data
3. Describing Relationships
4. Probability
5. Using Data to Reason about the World
6. Testing Hypotheses
7. Bayesian Methods
8. The Bootstrap
9. Predicting Continuous Variables
10. Predicting Categorical Variables
11. Predicting Changes with Time
12. Sources Of Data
13. Dealing with Missing Data
14. Dealing with Messy Data
15. Dealing with Large Data
16. Working with Popular R Packages
17. Reproducibility and Best Practices