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R For Marketing Research and Analytics

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...

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Bibliographic Details
Main Authors: Chapman, Chris, Feit, Elea McDonnell (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:2nd ed. 2019
Series:Use R!
Subjects:
Statistics 
Statistics In Business, Management, Economics, Finance, Insurance
Marketing
Mathematical Statistics / Data Processing
Statistics And Computing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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

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