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Data Analysis and Graphics Using R
by John Maindonald and John Braun
Available from Amazon
$37.00
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Features
Hardcover: 400 pages
Publisher: Cambridge University Press; 1 edition August 1, 2003
Language: English
ISBN-10: 0521813360
ISBN-13: 978-0521813365
Product Dimensions:
10.1 x 6.9 x 1.3 inches
Shipping Weight: 1.8 pounds
Product Review
"The text includes a wealth of practical examples, drawn from a variety of practical applications which should be easily understood by the reader. The methods demonstrated are suitable for use in areas such as biology, social science, medicine and engineering. The core of the book is taken up with detailed discussion of regression methods which leads onto more advanced statistical concepts." ISI Short Book Reviews
"I would strongly recommend the book to scientists who have already had a regression or a linear models course who wish to learn to use R." R News
Book Description
Using modern statistical software systems requires training both in the software itself and in the underlying statistical methods. Concentrating on the freely available R system, this volume demonstrates recently implemented approaches and methods in statistical analysis. The authors introduce elementary concepts in statistics through examples of real-world data analysis drawn from their experience as teachers and as consultants. R code and data sets for all examples are available on the Internet. This emphasis on practical methodology combined with a tutorial approach makes the book accessible to anyone with a knowledge of undergraduate-level statistics. The methods demonstrated are suitable for use in a wide variety of disciplines, from social sciences to medicine, engineering and science.
Reader Reviews
This is a good introductory book to R, covering basics of the language, statistical models, inference, regression (linear and logistic), experimental design, time series, classification, multivariate analysis, etc. The book uses liberally examples and in most cases has the code for the output or graphics as footnotes at the bottom of the page. The book also tries to teach the statistics to a degree, which one can see as an annoyance (just teach me R!) or helpful if you are shaky on your stats. The book also lists a fair number of references to other books on S-plus and R to help point you in the direction towards achieving a higher level of adeptness and other references to learn more about the topics covered in the book. The book also has exercises at the end of each chapter to get you into R and using the system. The answers to the exercises are not in the book, but are available in pdf format on the books corresponding website.
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Data Analysis and Graphics Using R
by John Maindonald and John Braun
Available from Amazon
$37.00
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