000			01753nam a22002177a 4500
008			251001b |||||||| |||| 00| 0 eng d
020			_a9781108995146
040			_ctbs
041			_aeng
050			_aQA276.45.R3 _bB73 2016
100			_aBraun, John _d1963- _925966 _eauthor
245			_aA first course in statistical programming with R _c/ W. John Braun and Duncan J. Murdoch.
250			_aThird edition.
260			_aCambridge : _bCambridge University Press, _c2021.
300			_axx, 259 pages : _billustrations (some color) ; _c25 cm.
520			_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.
650		0	_aR (Computer program language) _912305
650		0	_aStatistics _xData processing _913598
700			_aMurdoch, Duncan James _d1959- _925967 _eauthor
942			_2lcc
999			_c4987 _d4987