R for marketing research and analytics. (2019)

• Record Type: Book
• Further Information: Note: Chris Chapman and Elea McDonnell Feit.
• Authors: Chapman, Chris; Feit, Elea McDonnell
• 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.
• Edition: Second edition
• Publisher Details: Cham : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 005.133; R (Computer program language); Marketing research -- Statistical methods; COMPUTERS / Programming Languages / General; Electronic books
• Languages: English
• ISBNs: 9783030143169; 3030143163
• Related ISBNs: 9783030143152
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed April 2, 2019)
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.