Implementing R for Statistics provides comprehensive coverage of basic statistical concepts using this important open-source programming language tool, from installing R and RStudio, to exploring its basic structure and uses, to extending some core functions such as vectors, basic mathematical operations, and data frames. The book will help readers understand the latest advances in the R programming language, as R allows for sophisticated and elegant data visualization. Illustrated examples are an integral part of the text, carefully designed to apply the core principles illustrated in the text to emerging topics in the field.
The text also focuses on exploiting the flexible and user-friendly nature of R. Basic concepts and recent advances in the field, including understanding the R basics, as well as implementing and practicing them in statistics, are also covered. This first edition is an essential text for students, lecturers, data scientists, and applied researchers in all areas of statistics, as well as in related fields such as biostatistics, health care, finance, risk management, social sciences, market research, and environmental and climate research.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. ix 8. About the authors - p. xi 9. Chapter 1: RStudio: a quick overview - p. 1 10. Chapter 2: R fundamentals - p. 15 11. Chapter 3: Central location and dispersion measures - p. 55 12. Chapter 4: Continuous distributions - p. 69 13. Chapter 5: Discrete distributions - p. 81 14. Chapter 6: Several additions to the distributions - p. 119 15. Chapter 7: Generalized families of distributions - p. 143 16. Chapter 8: Bayesian statistics - p. 161 17. Chapter 9: Regression models and correlation - p. 197 18. Chapter 10: Time series analysis - p. 241 19. Chapter 11: Creating R package: a minimal example - p. 275 20. Chapter 12: The metadata: an overview - p. 289 21. Chapter 13: Creating R package: a moderate level - p. 307 22. Index - p. 329
Implementing R for Statistics provides comprehensive coverage of basic statistical concepts using this important open-source programming language tool, from installing R and RStudio, to exploring its basic structure and uses, to extending some core functions such as vectors, basic mathematical operations, and data frames. The book will help readers understand the latest advances in the R programming language, as R allows for sophisticated and elegant data visualization. Illustrated examples are an integral part of the text, carefully designed to apply the core principles illustrated in the text to emerging topics in the field.
The text also focuses on exploiting the flexible and user-friendly nature of R. Basic concepts and recent advances in the field, including understanding the R basics, as well as implementing and practicing them in statistics, are also covered. This first edition is an essential text for students, lecturers, data scientists, and applied researchers in all areas of statistics, as well as in related fields such as biostatistics, health care, finance, risk management, social sciences, market research, and environmental and climate research.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. ix 8. About the authors - p. xi 9. Chapter 1: RStudio: a quick overview - p. 1 10. Chapter 2: R fundamentals - p. 15 11. Chapter 3: Central location and dispersion measures - p. 55 12. Chapter 4: Continuous distributions - p. 69 13. Chapter 5: Discrete distributions - p. 81 14. Chapter 6: Several additions to the distributions - p. 119 15. Chapter 7: Generalized families of distributions - p. 143 16. Chapter 8: Bayesian statistics - p. 161 17. Chapter 9: Regression models and correlation - p. 197 18. Chapter 10: Time series analysis - p. 241 19. Chapter 11: Creating R package: a minimal example - p. 275 20. Chapter 12: The metadata: an overview - p. 289 21. Chapter 13: Creating R package: a moderate level - p. 307 22. Index - p. 329
