01753nam a22002177a 4500 251001b |||||||| |||| 00| 0 eng d 9781108995146 tbs eng QA276.45.R3 B73 2016 Braun, John 1963- 25966 author A first course in statistical programming with R / W. John Braun and Duncan J. Murdoch. Third edition. Cambridge : Cambridge University Press, 2021. xx, 259 pages : illustrations (some color) ; 25 cm. This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science. R (Computer program language) 12305 Statistics Data processing 13598 Murdoch, Duncan James 1959- 25967 author lcc 0 0 lcc 0 0 TBS TBS 2025-10-01 0 QA276.45.R3 BRA B07630 2025-10-01 1 2025-10-01 1 4987 4987