The R Book


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Synopsis

The R language is recognized as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R is becoming essential both to carry out research and to understand it, as more and more people present their results in the context of R. This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics. The format enables it to be either read as a text, or dipped-into as a reference manual.

Contents

Preface

  1.  Getting Started
  2.  Essentials of the R Language
  3.  Data Input
  4.  Data frames
  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

References and Further Reading

Index

  • Paperback
  • Publisher: WILEY INDIA; Edition: 2nd (January 1, 2017)
  • Language: English
  • ISBN-13: 9788126569717
  • Product dimensions: 20 x 14 x 4 cm

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