R for Marketing Research and Analytics

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 minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning c...

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Bibliographic Details
Main Authors: Chapman, Chris (Author), Feit, Elea McDonnell (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:Use R!,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Welcome to R
  • The R Language
  • Describing Data
  • Relationships Between Continuous Variables
  • Comparing Groups: Tables and Visualizations
  • Comparing Groups: Statistical Tests
  • Identifying Drivers of Outcomes: Linear Models
  • Reducing Data Complexity
  • Additional Linear Modeling Topics
  • Confirmatory Factor Analysis and Structural Equation Modeling
  • Segmentation: Clustering and Classification
  • Association Rules for Market Basket Analysis
  • Choice Modeling
  • Conclusion
  • Appendix: R Versions and Related Software
  • Appendix: Scaling up
  • Appendix: Packages Used
  • Index.