Pro R

Dr. Larry Pace is a statistics author and educator, as well as a consultant. He lives in the upstate area of South Carolina in the town of Anderson. He is a professor of statistics, mathematics, psychology, management, and leadership. He has programmed in a variety of languages and scripting languages including R, Visual Basic, JavaScript, C##, PHP, APL, and in a long-ago world, Fortran IV. He writes books and tutorials on statistics, computers, and technology. He has also published many academic papers, and made dozens of presentations and lectures. He has consulted with Compaq Computers, AT&T, Xerox Corporation, the U.S. Navy, and International Paper. He has taught at Keiser University, Argosy University, Capella University, Ashford University, Anderson University (where he was the chair of the behavioral sciences department), Clemson University, Louisiana Tech University, LSU in Shreveport, the University of Tennessee, Cornell University, Rochester Institute of Technology, Rensselaer Polytechnic Institute, and the University of Georgia.

1. Getting and Programming in R 2. Writing Reusable Functions 3. Using R for Descriptive Statistics 4. R Visualization 5. Discrete Probability Distributions and Computing Standard Normal Probabilities 6. Continuous Probability Distributions in R 7. Creating Confidence Intervals 8. Performing t Tests 9. Implementing One-Way and Advanced ANOVA 10. Simple Correlation and Regression in R 11. Multiple Correlation and Regression in R 12. Logistic Regression 13. Performing Chi-Square Tests 14. Working in Nonparametric Statistics 15. Using R for Simulation 16. Resampling and Bootstrapping 17. Creating R Packages 18. Executing R Packages 19. R Best Practices and Design Patterns 20. R as a Funcational Programming Language 21. R Case Study Capstone 22. R Testing and Debugging 23. Unit Testing with R: An Alternative 24. Advanced Tips and Tricks with R