A First Course in Statistical Programming with R
Published on 13. December 2007
Book
Hardback
174 pages
978-0-521-87265-2 (ISBN)
Description
This 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.
Reviews / Votes
'... with this book, you can be up and running, doing very advanced work with R in a matter of minutes. Using a series of code examples, the authors take you through many of the basic capabilities of the package. All that is needed to follow the examples is a basic understanding of control constructs such as the if-then, loops and functions as well as knowledge of the underlying mathematics.' Charles Ashbacher, Journal of Recreational MathematicsMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Professional and scholarly
Illustrations
Worked examples or Exercises; 39 Line drawings, unspecified
Dimensions
Height: 254 mm
Width: 195 mm
Thickness: 16 mm
Weight
550 gr
ISBN-13
978-0-521-87265-2 (9780521872652)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
W. John Braun | Duncan J. Murdoch
A First Course in Statistical Programming with R
Book
07/2016
2nd Edition
Cambridge University Press
€43.35
Article exhausted; check for reprint
Additional editions
W. John Braun | Duncan J. Murdoch
A First Course in Statistical Programming with R
E-Book
04/2009
1st Edition
Cambridge University Press
€36.99
Available for download
Persons
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.
Content
1. Getting started; 2. Introduction to the R language; 3. Programming statistical graphics; 4. Programming with R; 5. Simulation; 6. Computational linear algebra; 7. Numerical optimization; Appendix. Review of random variables and distributions; Index.