Authors: W. N. Venables, D. M. Smith
Publisher: Network Theory.
Category: Book

List Price: ~~$19.95~~
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Avg. Customer Rating: 4.0 out of 5 stars

2 reviews
Sales Rank: 84721

Media: Paperback
Number Of Items: 1
Pages: 156
Shipping Weight (lbs): 0.5
Dimensions (in): 8.9 x 5.9 x 0.4

ISBN: 0954161742
Dewey Decimal Number: 519.50285536
EAN: 9780954161743
ASIN: 0954161742

Publication Date: May 2002
Availability: Usually ships in 1-2 business days
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Editorial Reviews:

Product Description
This tutorial manual provides a comprehensive introduction to R, a software package for statistical computing and graphics.

R supports a wide range of statistical techniques, and is easily extensible via user-defined functions written in its own language, or using dynamically loaded modules written in C, C++ or Fortran. One of R's strengths is the ease with which well-designed publication-quality plots can be produced.

R is free software, distributed under the terms of the GNU General Public License (GPL). It can be used with GNU/Linux, Unix and Microsoft Windows.

This is a printed copy of the tutorial manual from the R distribution, with additional new examples, notes and corrections added by the publisher (second printing, September 2004). All the money raised from the sale of this book supports the development of free software and documentation.

Customer Reviews:

4 out of 5 stars

Easy but somehow too simple. But very helpful for first time to use R. November 29, 2008
Easy but somehow too simple. But very helpful for first time to use R.

4 out of 5 stars

Excellent... but you already have it on PDF December 1, 2003
171 out of 174 found this review helpful

This is an excellent and brief introduction to R. I don't mind having a printed copy. I don't mind having paid the 13 bucks, if the money raised will support free software development. But... I want to warn people who are thinking about getting it: If you use R you already have it. Select the help menu, Manuals, An Introduction to R.

Another book worth considering is the one by Peter Dalgaard, Introductory Statistics with R.