Beginning R: An Introduction to Statistical Programming

Larry Pace

Publisher:

Apress

Publication Date:

2012

Number of Pages:

310

Format:

Paperback

Price:

39.99

ISBN:

978-1-4302-4554-4

Category:

Manual

MAA Review
Table of Contents

We do not plan to review this book.

Part I. Learning the R Language
1. Getting R and Getting Started
2. Programming in R
3. Writing Reusable Functions
4. Summary Statistics

Part II. Using R for Descriptive Statistics
5. Creating Tables and Graphs
6. Discrete Probability Distributions
7. Computing Standard Normal Probabilities

Part III. Using R for Inferential Statistics
8. Creating Confidence Intervals
9. Performing t Tests
10. Implementing One-Way ANOVA
11. Implementing Advanced ANOVA
12. Simple Correlation and Regression in R
13. Multiple Correlation and Regression in R
14. Logistic Regression
15. Performing Chi-Square Tests
16. Working in Nonparametric Statistics

Part IV. Taking R to the Next Level
17. Using R for Simulation
18. Resampling and Bootstrapping
19. Creating R Packages
20. Executing R Packages