This manual provides comprehensive guidance for users of the R programming language, focusing on statistical programming. Authored by W. John Braun and Duncan J. Murdoch, with contributions from a member of the R Core Development Team, this resource delves into general programming principles and techniques for developing complex projects. It emphasizes practical data analysis through numerous real-world application examples and offers a robust understanding of R's open-source capabilities, allowing for adaptation of its source code. The content is designed to be accessible, featuring frequent exercises and end-of-chapter reviews to reinforce learning.
The purpose of this manual is to serve as an authoritative reference for learning and applying statistical programming with R. It covers essential aspects of the R language, including its syntax, functions, and application in data analysis. The manual is structured to assist both beginners and experienced users in mastering the language, with specific attention paid to the practical implementation of programming concepts. It aims to equip readers with the skills necessary for effective statistical computing and project development, ensuring a thorough understanding of the subject matter.
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 bookǃÙs web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
Author: Braun,W. John
Author: Murdoch,Duncan J.
Publisher: Cambridge University Press
Illustration: N
Language: ENG
Title: A First Course in Statistical Programming with R
Pages: 00174 (Encrypted PDF)
On Sale: 2007-12-13
SKU-13/ISBN: 9780521872652
Category: Mathematics : Probability & Statistics - General
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 bookǃÙs web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
Author: Braun,W. John
Author: Murdoch,Duncan J.
Publisher: Cambridge University Press
Illustration: N
Language: ENG
Title: A First Course in Statistical Programming with R
Pages: 00174 (Encrypted PDF)
On Sale: 2007-12-13
SKU-13/ISBN: 9780521872652
Category: Mathematics : Probability & Statistics - General
