Loading...

The 'R' Book

"Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such soft...

Full description

Bibliographic Details
Main Author: Michael J Crawely
Format: Printed Book
Published: Chichester, West Sussex, United Kingdom Wiley 2013
Edition:2nd ed
Subjects:
Table of Contents:
  • Preface
  • 1. Getting Started
  • 2. Essentials of the R Language
  • 3. Data Input
  • 4. Dataframes
  • 5. Graphics
  • 6 Tables
  • 7. Mathematics
  • 8. Classical Tests
  • 9. Statistical Modelling
  • 10. Regression
  • 11. Analysis of Variance
  • 12. Analysis of Covariance
  • 13. Generalized Linear Models
  • 14. Count Data
  • 15. Count Data in Tables
  • 16. Proportion Data
  • 17. Binary Response Variables
  • 18. Generalized Additive Models
  • 19. Mixed-Effects Models
  • 20. Non-linear Regression
  • 21. Meta-analysis
  • 22. Bayesian statistics
  • 23. Tree Models
  • 24. Time Series Analysis
  • 25. Multivariate Statistics
  • 26. Spatial Statistics
  • 27. Survival Analysis
  • 28. Simulation Models
  • 29. Changing the Look of Graphics.