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ᒧ Get ῳ A First Course in Statistical Programming with R eBook: W. John Braun, Duncan J. Murdoch: Amazon.fr: Amazon Media EU S.à r.l. for free ⚪ E-Pub Author W John Braun ⚸ For what has come to be called data analytics, R is a remarkable tour de force Strong skills with R programming are needed to allow really effective use Mastering the content of this carefully staged text is an excellent starting point for gaining those skills John Maindonald, Australian National University, Canberra This book should be especially useful for those without any prior programming background The core programming material, such as loops and functions, is postponed to Chapter 4, allowing the student to first become comfortable with R in a broader manner The placement of Chapter 3, on graphical methods, is particularly helpful in this regard, and is very motivating The book is written by two recognized experts in the R language, so the reader attains the benefit of being taught by the insiders Norm Matloff, University of California, Davis This book is an excellent introduction to programming in R It gently takes the reader from first principles in programming through to advanced topics such as simulation and plotting We recommend this book to our graduate students in computational biology as a concise guide to learning R Stephen Eglen, University of CambridgeThis new, color edition of Braun and Murdoch s bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix decompositions, and numerous new examples and exercises This is the only introduction you ll need to start programming in R, the computing standard for analyzing data Co written by an R Core Team member and an established R author, this book comes with real R code that complies with the standards of the language Unlike other introductory books on the R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop complex projects Solutions, datasets, and any errata are available from the book s website The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis. 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John Braun, Duncan J. Murdoch: Amazon.fr: Amazon Media EU S.à r.l.