Exercises
Chapman & Feit, R for Marketing Research and Analytics, 2nd ed
R code in all files is (c) 2019 Springer. Materials are provided to complement R for Marketing Research and Analytics, 2nd ed..
Exercises: Table of Contents
.R files are available now for all exercises. Notebook files will be posted soon. Note that .R files download immediately to your browser's download destination.
Be sure to read the introduction in each chapter that explains background for the Exercises, how to access data, and so forth.
Exercises are new in the 2nd edition. However, readers of the 1st edition are welcomed to use them. Read the questions preceeding each code section and work out a solution before reading the code. The notebooks (coming soon) will contain the text of each exercise. A PDF with all of the Exercises (and without code solutions) is here: Compiled Exercises for 2nd Edition. With the exception of the new Chapter 14, readers of the 1st edition should be able to solve all of the exercises.
Also available: a single ZIP file with all .R exercise code. After downloading, unzip it in a folder of your choice.
Example notebook: An example notebook with some initial guidance on personal and classroom usage is here: Example notebook. Open it in RStudio and use as a staring point for your code files and/or homework.
Note on solutions: most problems in R have multiple, sometimes quite different solutions. The solutions here are not intended to be definitive; they are examples. Try to work out your own, and then compare them!
| Chapter | Raw .R | RStudio Notebook (coming soon) |
|---|---|---|
| Chapter 1: Welcome to R [no exercises] | (na) | (na) |
| Chapter 2: The R Language [Exercises] | R code | coming soon |
| Chapter 3: Describing Data [Exercises] | R code | coming soon |
| Chapter 4: Relationships between Continuous Variables [Exercises] | R code | coming soon |
| Chapter 5: Comparing Groups: Tables and Visualizations [Exercises] | R code | coming soon |
| Chapter 6: Comparing Groups: Statistical Tests [Exercises] | R code | coming soon |
| Chapter 7: Identifying Drivers of Outcomes: Linear Models [Exercises] | R code | coming soon |
| Chapter 8: Reducing Data Complexity (PCA and EFA) [Exercises] | R code | coming soon |
| Chapter 9: Additional Linear Model Topics (Collinearity, Logistic, HLM) [Exercises] | R code | coming soon |
| Chapter 10: Confirmatory Factor Analysis and SEM [Exercises] | R code | coming soon |
| Chapter 11: Segmentation: Clustering and Classification [Exercises] | R code | coming soon |
| Chapter 12: Association Rules for Market Basket Analysis [Exercises] | R code | coming soon |
| Chapter 13: Choice Modeling (Choice-based conjoint analysis) [Exercises] | R code | coming soon |
| Chapter 14: Behavior Sequences [Exercises] | R code | coming soon |
| All chapters: PDF of Exercise text (no code) | ZIP with all solutions | (na) |
About the Exercise Materials
The files present two views of the material:- Raw code:
- .R files: These correspond in order to the exercises in each chapter.
- Notebook: (to be completed)