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...

Descripción completa

Detalles Bibliográficos
Autor principal: Chapman, Chris (-)
Autor Corporativo: SpringerLink (-)
Otros Autores: Feit, Elea McDonnell
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2015.
Colección:Use R!
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b32920738*spi
Tabla de Contenidos:
  • 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.  .