The R Book, Second Edition

  • 16h 14m
  • Michael J. Crawley
  • John Wiley & Sons (UK)
  • 2013

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 software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.

This edition:

  • Features full colour text and extensive graphics throughout.
  • Introduces a clear structure with numbered section headings to help readers locate information more efficiently.
  • Looks at the evolution of R over the past five years.
  • Features a new chapter on Bayesian Analysis and Meta-Analysis.
  • Presents a fully revised and updated bibliography and reference section.

In this Book

  • Getting Started
  • Essentials of the R Language
  • Data Input
  • Dataframes
  • Graphics
  • Tables
  • Mathematics
  • Classical Tests
  • Statistical Modelling
  • Regression
  • Analysis of Variance
  • Analysis of Covariance
  • Generalized Linear Models
  • Count Data
  • Count Data in Tables
  • Proportion Data
  • Binary Response Variables
  • Generalized Additive Models
  • Mixed-Effects Models
  • Non-Linear Regression
  • Meta-Analysis
  • Bayesian Statistics
  • Tree Models
  • Time Series Analysis
  • Multivariate Statistics
  • Spatial Statistics
  • Survival Analysis
  • Simulation Models
  • Changing the Look of Graphics
  • References and Further Reading
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