Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With this hands-on guide, you'll learn how to use the tools R needed to analyze data, including the data and programming concepts. The second part of the R for you to analyze actual data in the Act covers everything from data entry to your results.
Table of Contents
Part I. The R Language Chapter 1. Introduction Chapter 2. A Scientific Calculator Chapter 3. Inspecting Variables and Your Workspace Chapter 4. Vectors, Matrices, and Arrays Chapter 5. Lists and Data Frames Chapter 6. Environments and Functions Chapter 7. Strings and Factors Chapter 8. Flow Control and Loops Chapter 9. Advanced Looping Chapter 10. Packages Chapter 11. Dates and Times
Part II. The Data Analysis Workflow Chapter 12. Getting Data Chapter 13. Cleaning and Transforming Chapter 14. Exploring and Visualizing Chapter 15. Distributions and Modeling Chapter 16. Programming Chapter 17. Making Packages
Part III. Appendixes Appendix A. Properties of Variables Appendix B. Other Things to Do in R Appendix C. Answers to Quizzes Appendix D. Solutions to Exercises
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