A First Course in Statistical Programming with R
First Course in Statistical Programming with R by W. John Braun
Book DescriptionThis is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by 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 ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
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Book DetailsISBN: 9780521694247
(246mm x 189mm x 10mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 13-Dec-2007
Country of Publication: United Kingdom
Books By Author W. John Braun
First Course in Statistical Programming with R, Paperback (July 2016)
Learn to program in R from the experts with this new, color edition of Braun and Murdoch's bestselling textbook.
Data Analysis and Graphics Using R, Hardback (May 2010)» View all books by W. John Braun
Hands-on guide to the R system for data analysis for scientists, students and practising statisticians.
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Author Biography - W. John Braun
W. John Braun is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He is also a co-author, with John Maindonald, of Data Analysis and Graphics Using R, 2nd edition (Cambridge University Press, 2007). Duncan J. Murdoch is an Associate Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He is a member of the R Development Core Team and was columnist and column editor of the statistical computing column of Chance 1999-2000.
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