R Tutorial

Kelly Black

Department of Mathematics and Computer Science

Clarkson University

Contents:

• 1. Input
• 2. Basic Data Types
• 3. Basic Operations and Numerical Descriptions
• 4. Basic Probability Distributions
• 5. Basic Plots
• 6. Intermediate Plotting
• 7. Indexing Into Vectors
• 8. Linear Least Squares Regression
• 9. Calculating Confidence Intervals
• 10. Calculating p Values
• 11. Calculating The Power Of A Test
• 12. Two Way Tables
• 13. Data Management
• 14. Time Data Types
• 15. Introduction to Programming
• 16. Object Oriented Programming
• 17. Case Study: Working Through a HW Problem
• 18. Case Study II: A JAMA Paper on Cholesterol

Indices and tables

• Index
• Search Page