Table of Contents:
  • 1. Introducing R: what it is and how to get it 2.Starting out: becoming familiar with R 3.Starting out; working with objects 4. Data: descriptive statistics and tabulation 5. Data: distribution 6. Simple hypothesis testing 7. Introduction to graphical analysis 8. Formula notation and complex statistics 9. Manipulating data and extracting components 10. Regression (linear modeling) 11.More about graphs 12. Writing your own scripts: beginning to program