×

Uh-oh, it looks like your Internet Explorer is out of date.

For a better shopping experience, please upgrade now.

A First Course in Statistical Programming with R
     

A First Course in Statistical Programming with R

3.4 5
by W. John Braun, Duncan J. Murdoch
 

See All Formats & Editions

ISBN-10: 0521694248

ISBN-13: 9780521694247

Pub. Date: 10/31/2007

Publisher: Cambridge University Press

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

Overview

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.

Product Details

ISBN-13:
9780521694247
Publisher:
Cambridge University Press
Publication date:
10/31/2007
Edition description:
Older Edition
Pages:
174
Product dimensions:
7.44(w) x 9.69(h) x 0.39(d)

Table of Contents

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.

Customer Reviews

Average Review:

Post to your social network

     

Most Helpful Customer Reviews

See all customer reviews

A First Course in Statistical Programming with R 3.4 out of 5 based on 0 ratings. 5 reviews.
Jchang More than 1 year ago
I thought It was well written for a beginner. I don't think that it had enough cool statistical stuff you can do in R though. I would have liked to see a beginners book about the "statistical" stuff you can accomplish using R.
Anonymous More than 1 year ago
Anonymous More than 1 year ago
Anonymous More than 1 year ago
Anonymous More than 1 year ago