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R is now the most widely used statistical package/language in university statistics departments and many research organizations. Its great advantages are that for many years, it has been the leading statistical package/language and that it can be freely downloaded from the R website. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of qualitative disciplines.
PREFACE; 1. Introducing R; 2. Statistical modelling and inference; 3. Regression and analysis of variance; 4. Binary response data; 5. Multinomial and Poisson response data; 6. Survival data; 7. Finite mixture models; 8. Random effects models; 9. Variance component models; BIBLIOGRAPHY; R FUNCTION AND CONSTANT INDEX; DATASET INDEX; SUBJECT INDEX
