The R Book

Preface vii  1 Getting Started 1  2 Essentials of the R Language 9  3 Data Input 97  4 Dataframes 107  5 Graphics 135  6 Tables 183  7 Mathematics 195  8 Classical Tests 279  9 Statistical Modelling 323  10 Regression 387  11 Analysis of Variance 449  12 Analysis of Covariance 489  13 Generalized Linear Models 511  14 Count Data 527  15 Count Data in Tables 549  16 Proportion Data 569  17 Binary Response Variables 593  18 Generalized Additive Models 611  19 Mixed-Effects Models 627  20 Non-linear Regression 661  21 Meta-analysis xxx  22 Bayesian statistics xxx  23 Tree Models 685  24 Time Series Analysis 701  25 Multivariate Statistics 731  26 Spatial Statistics 749  27 Survival Analysis 787  28 Simulation Models 811  29 Changing the Look of Graphics 827  References and Further Reading 873  Index 877s