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Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematic)

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Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematic) Cover

ISBN13: 9780521861168
ISBN10: 0521861160
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Synopses & Reviews

Publisher Comments:

Join the revolution ignited by the ground-breaking R system! Starting with an introduction to R, covering standard regression methods, then presenting more advanced topics, this book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Assuming only basic statistical knowledge, the book is ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians. It is both for learning and for reference. This revised edition reflects changes in R since 2003 and has new material on survival analysis, random coefficient models, and the handling of high-dimensional data.

Synopsis:

This book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Both for learning and for reference, ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians.

Synopsis:

Hands-on guide to the R system for data analysis for scientists, students and practising statisticians.

Synopsis:

Text explaining basic statistical methods in the R programming language through extensive use of examples.

Table of Contents

Preface; 1. A brief introduction to R; 2. Styles of data analysis; 3. Statistical models; 4. An introduction to formal inference; 5. Regression with a single predictor; 6. Multiple linear regression; 7. Exploiting the linear model framework; 8. Generalized linear models and survival analysis; 9. Time series models; 10. Multi-level models and repeated measures; 11. Tree-based classification and regression; 12. Multivariate data exploration and discrimination; 13. Regression on principal component or discriminant scores; 14. The R system - additional topics; Epilogue - models; References; Index of R symbols and functions; Index of terms; Index of names.

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Daniel Say, November 15, 2007 (view all comments by Daniel Say)
Second edition is a good beginning book, though even the authors would argue that the CRAN depository provides enough documentation.

There are chapter end questions, and they provide answers on http://www (dot) maths.anu.edu (dot) au/~johnm/r-book.

Still the basic bible of R is MASS "Modern Applied Statistics with S" by W. N. Venables and B. D. Ripley (Springer, various editions), as you can see by its constant listing in the further reading for each chapter.

Unfortunately they barely touch on the new surge in genetic studies with R, such as bioconductor.org so even the exercises with the expanded hints will not prove useful in the future use.

A nice feature is the extraction of the R code from examples, tables and graphs and appended so that you can see how they arrived at the illustration.

It might have been nice to include a Quantian self-booting Linux CDRom which has the full set of R on it, though downloading the basic software is very easy for various platforms and with Fox's Rcommander interface beginning users can get used to results.
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Product Details

ISBN:
9780521861168
Subtitle:
An Example-Based Approach
Author:
Braun, John
Editor:
Gill, R.
Author:
Maindonald, John
Author:
Maindonald, J. H.
Publisher:
Cambridge University Press
Location:
Cambridge
Subject:
Statistics
Subject:
Probability & Statistics - General
Subject:
Graphic Methods
Subject:
Statistics -- Data processing.
Subject:
Statistics -- Graphic methods.
Edition Number:
2
Edition Description:
Revised
Series:
Cambridge Series in Statistical and Probabilistic Mathematic
Series Volume:
10
Publication Date:
November 2006
Binding:
Hardcover
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Y
Pages:
502
Dimensions:
10.30x7.12x1.34 in. 2.39 lbs.

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Related Subjects

Science and Mathematics » Environmental Studies » Environment
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematic) New Hardcover
0 stars - 0 reviews
$93.55 In Stock
Product details 502 pages Cambridge University Press - English 9780521861168 Reviews:
"Synopsis" by , This book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Both for learning and for reference, ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians.
"Synopsis" by , Hands-on guide to the R system for data analysis for scientists, students and practising statisticians.
"Synopsis" by , Text explaining basic statistical methods in the R programming language through extensive use of examples.
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