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Index
Cover
Frontmatter
1. Basics of R
1. Welcome to R
2. An Overview of the R Language
2. Fundamentals of Data Analysis
3. Describing Data
4. Relationships Between Continuous Variables
5. Comparing Groups: Tables and Visualizations
6. Comparing Groups: Statistical Tests
7. Identifying Drivers of Outcomes: Linear Models
3. Advanced Marketing Applications
8. Reducing Data Complexity
9. Additional Linear Modeling Topics
10. Confirmatory Factor Analysis and Structural Equation Modeling
11. Segmentation: Clustering and Classification
12. Association Rules for Market Basket Analysis
13. Choice Modeling
Backmatter
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