R For Marketing Research and Analytics

• Main Authors: Chapman, Chris (Author, http://id.loc.gov/vocabulary/relators/aut), Feit, Elea McDonnell (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 2nd ed. 2019.
• Series: Use R!,
• Subjects: Statistics .; Marketing.; Statistics and Computing/Statistics Programs.; Statistics for Business, Management, Economics, Finance, Insurance.

The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research. This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minima...

Table of Contents:

• Chapter 1: Welcom to R
• Chapter 2: An Overview of the R Language
• Chapter 3: Describing Data
• Chapter 4: Relationships Between Continuous Variables
• Chapter 5: Comparing Groups: Tables and Visualizations
• Chapter 6: Comparing Groups: Statistical Tests
• Chapter 7: Identifying Drivers of Outcomes: Linear Models
• Chapter 8: Reducing Data Complexity
• Chapter 9: Assorted Linear Modeling Topics
• Chapter 10: Confirmatory Factor Analysis and Structural Equation Modeling
• Chapter 11: Segmentation: Clustering and Classification
• Chapter 12: Association Rules for Market Basket Analysis
• Chapter 13: Choice Modeling
• Chapter 14: Marketing Mix Models
• Appendix A: R Versions and Related Software
• Appendix B: Scaling Up
• Appendix C: Packages Used
• Appendix D: Online Materials and Data Files.