The Resource R for Marketing Research and Analytics, by Chris Chapman, Elea McDonnell Feit, (electronic resource)

R for Marketing Research and Analytics, by Chris Chapman, Elea McDonnell Feit, (electronic resource)

Label
R for Marketing Research and Analytics
Title
R for Marketing Research and Analytics
Statement of responsibility
by Chris Chapman, Elea McDonnell Feit
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
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 curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications
Member of
http://library.link/vocab/creatorName
Chapman, Chris
Dewey number
330.015195
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • L8nW6IbC4A0
  • gVHw6m1HxZw
Language note
English
LC call number
QA276-280
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Feit, Elea McDonnell.
Series statement
Use R!,
http://library.link/vocab/subjectName
  • Statistics
  • Mathematical statistics
  • Marketing
  • Statistics for Business, Management, Economics, Finance, Insurance
  • Statistics and Computing/Statistics Programs
  • Marketing
Label
R for Marketing Research and Analytics, by Chris Chapman, Elea McDonnell Feit, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
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
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (459 p.)
Form of item
online
Isbn
9783319144368
Media category
computer
Media type code
  • c
Other control number
10.1007/978-3-319-14436-8
Specific material designation
remote
System control number
  • (CKB)3710000000375611
  • (EBL)1998278
  • (SSID)ssj0001465688
  • (PQKBManifestationID)11792902
  • (PQKBTitleCode)TC0001465688
  • (PQKBWorkID)11490502
  • (PQKB)11263482
  • (DE-He213)978-3-319-14436-8
  • (MiAaPQ)EBC1998278
  • (EXLCZ)993710000000375611
Label
R for Marketing Research and Analytics, by Chris Chapman, Elea McDonnell Feit, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
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
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (459 p.)
Form of item
online
Isbn
9783319144368
Media category
computer
Media type code
  • c
Other control number
10.1007/978-3-319-14436-8
Specific material designation
remote
System control number
  • (CKB)3710000000375611
  • (EBL)1998278
  • (SSID)ssj0001465688
  • (PQKBManifestationID)11792902
  • (PQKBTitleCode)TC0001465688
  • (PQKBWorkID)11490502
  • (PQKB)11263482
  • (DE-He213)978-3-319-14436-8
  • (MiAaPQ)EBC1998278
  • (EXLCZ)993710000000375611

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