The book "Modern Applied Statistics with S" by W.N. Venables and B.D. Ripley is the fourth edition of a comprehensive guide to using the S language and environment for data analysis. The S language, originally developed at Bell Laboratories, has evolved into S-PLUS and R, both widely used for statistical computing. This book focuses on practical applications of S, covering modern statistical methods and techniques. It includes detailed explanations of the S language, data manipulation, graphics, univariate statistics, linear models, generalized linear models, non-linear regression, tree-based methods, random and mixed effects, multivariate analysis, classification, survival analysis, time series analysis, spatial statistics, and optimization. The authors aim to demonstrate how S can be used to perform sophisticated analyses, emphasizing the importance of a powerful and graphical system in modern data analysis. The book is suitable for both introductory guides and advanced courses, with exercises and datasets available online. The authors acknowledge the contributions of numerous individuals and organizations who have helped develop and refine the S environment.The book "Modern Applied Statistics with S" by W.N. Venables and B.D. Ripley is the fourth edition of a comprehensive guide to using the S language and environment for data analysis. The S language, originally developed at Bell Laboratories, has evolved into S-PLUS and R, both widely used for statistical computing. This book focuses on practical applications of S, covering modern statistical methods and techniques. It includes detailed explanations of the S language, data manipulation, graphics, univariate statistics, linear models, generalized linear models, non-linear regression, tree-based methods, random and mixed effects, multivariate analysis, classification, survival analysis, time series analysis, spatial statistics, and optimization. The authors aim to demonstrate how S can be used to perform sophisticated analyses, emphasizing the importance of a powerful and graphical system in modern data analysis. The book is suitable for both introductory guides and advanced courses, with exercises and datasets available online. The authors acknowledge the contributions of numerous individuals and organizations who have helped develop and refine the S environment.