Beginning R: An Introduction to Statistical Programming

By Carolyn C. Schactler

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

• Format: Paperback
• Language: English
• ISBN: 1430245549
• ISBN13: 9781430245544
• Release Date: October 2012
• Publisher: Apress
• Length: 336 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.7" x 7.5" x 9.3"