01678nam a22001937a 4500008004100000020001800041040000800059041000800067050002700075100003100102245009400133250001900227260005300246300005900299520101800358650003401376650003301410700004101443251001b        |||||||| |||| 00| 0 eng d  a9781108995146  ctbs  aeng  aQA276.45.R3 bB73 2016  aBraun, Johnd1963-eauthor  aA first course in statistical programming with R c/ W. John Braun and Duncan J. Murdoch.  aThird edition.  aCambridge :bCambridge University Press, c2021.  axx, 259 pages :billustrations (some color) ; c25 cm.  aThis 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. 0aR (Computer program language) 0aStatistics xData processing  aMurdoch, Duncan Jamesd1959-eauthor