R help - Feb 2006 - ANNOUNCEMENT: 20% discount on new R books from Chapman & Hall/CRC

20% discount on four new R books from Chapman & Hall/CRC

Chapman and Hall/CRC is pleased to announce the publication of four new books on
R, all available through our website at 20% discount to users of R. To take
advantage of this permanent offer, which is valid across all of our R books,
simply visit http://www.crcpress.com/, choose your titles, and insert the online
discount code - 585HHXXXX - in the 'Promotion Code' field at checkout.

** NEW TITLES! **

A Handbook of Statistical Analyses using R
Brian S. Everitt and Torsten Hothorn

With emphasis on the use of R and the interpretation of results rather than the
theory behind the methods, this book addresses particular statistical techniques
and demonstrates how they can be applied to one or more data sets using R. The
authors provide a concise introduction to R, including a summary of its most
important features. They cover a variety of topics, such as simple inference,
generalized linear models, multilevel models, longitudinal data, cluster
analysis, principal components analysis, and discriminant analysis. With
numerous figures and exercises, A Handbook of Statistical Analysis using R
provides useful information for students as well as statisticians and data
analysts. All datasets and code used in the book are available as a downloadable
package from CRAN.

Discounted Price: $39.96/??23.99

For more details and to order:
http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C5394&parent_id=&pc
***

Generalized Additive Models: An Introduction with R
Simon N. Wood

This book aims to provide readers with a thorough understanding of the theory
and practical applications of GAMs, to enable informed use of these very
flexible tools and related advanced models. The author's approach is based
on a framework of penalized regression splines, and he provides a well grounded
introduction through motivating chapters on linear and generalized linear
models, as well as covering more advanced extensions via a final chapter on
mixed models, including GAMMs. The author uses the R software throughout to
explain the underlying theory and illustrate the practicalities of linear,
generalized linear and generalized additive models, as well as their mixed
effect extensions. Background theory on likelihood, matrix algebra and the
geometry of model estimation is also provided, so that the book is reasonably
self contained. Each chapter has exercises for which complete solutions are
provided in an appendix. An R package containing the featured datasets is also
freely available through CRAN.

Discounted Price: $63.96/??31.99

For more details and to order:
http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C4746&parent_id=&pc
***

Extending Linear models with R: Generalized Linear, Mixed Effects and
Nonparametric Regression Models
Julian J. Faraway

This book surveys the techniques that grow from the regression model, presenting
three extensions to that framework: generalized linear models (GLMs), mixed
effect models, and nonparametric regression models. The author's treatment
is thoroughly modern and covers topics that include GLM diagnostics, generalized
linear mixed models, trees, and even the use of neural networks in statistics.
To demonstrate the interplay of theory and practice, throughout the book the
author weaves the use of the R software environment to analyze the data of real
examples, providing all of the R commands necessary to reproduce the analyses.

Discounted Price: $63.96/??31.99

For more details and to order:
http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C424X&parent_id=&pc
***

Robust Statistical Methods with R
Jana Jureckova and Jan Picek

This book provides a systematic treatment of robust procedures with an emphasis
on practical application. The authors work from underlying mathematical tools to
implementation, paying special attention to the computational aspects. They
cover the whole range of robust methods, including differentiable statistical
functions, distance of measures, influence functions, and asymptotic
distributions, in a rigorous yet approachable manner. Highlighting hands-on
problem solving, many examples and computational algorithms using the R software
supplement the discussion. The book examines the characteristics of robustness,
estimators of real parameter, large sample properties, and goodness-of-fit
tests. It also includes a brief overview of R in an appendix for those with
little experience using the software.

Discounted Price: $63.96/??35.99

For more details and to order:
http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C4541&parent_id=&pc
** OTHER TITLES! **

R Graphics
Paul Murrell

A description of the core graphics features of R including: a brief introduction
to R; an introduction to general R graphics features. The base graphics system
of R: traditional S graphics. The power and flexibility of grid graphics.
Building on top of the base or grid graphics: Trellis graphics and developing
new graphics functions.

Discounted Price: $55.96/??31.99

For more details and to order:
http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C486X&parent_id=&pc

***

Using R for Introductory Statistics
John Verzani  

This book fills a gap as a true introduction to statistics using R. With
emphasis on data analysis and practical examples, it encourages understanding
rather than focusing on learning the underlying theory. It includes a large
collection of exercises and numerous practical examples from a broad range of
scientific disciplines. It comes complete with an online resource containing
datasets, R functions, selected solutions to exercises, and updates to the
latest features. A full solutions manual is available from Chapman &
Hall/CRC.
 
Discounted Price: $35.96/??19.99

For more details and to order:
http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C4509&parent_id=&pc

***

Linear Models with R
Julian J. Faraway

Focussed on the practice of regression and analysis of variance, this book
clearly demonstrates the different methods available and in which situations
each one applies. It covers all of the standard topics, from the basics of
estimation to missing data, factorial designs, and block designs, but it also
includes discussion of topics, such as model uncertainty, rarely addressed in
books of this type. The presentation incorporates an abundance of examples that
clarify both the use of each technique and the conclusions one can draw from the
results.

Discounted Price: $55.96/??31.99

For more details and to order:
http://www.crcpress.com/shopping_cart/products/product_detail.asp?sku=C4258&parent_id=&pc

***

Correspondence Analysis and Data Coding with Java and R
Fionn Murtagh

Provides an introduction to methods and applications of correspondence analysis,
with an emphasis on data coding - the first step in correspondence analysis. It
features a practical presentation of the theory with a range of applications
from data mining, financial engineering, and the biosciences. Implementation of
the methods is presented using Java and R software.

Discounted Price: $63.96/??35.99

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** CALL FOR AUTHORS **

If you are working on a manuscript or have an idea for a book, and are
interested in publishing with Chapman & Hall/CRC, we would be delighted to
hear from you. Please do not hesitate to contact us if you would like to discuss
publishing, or have any questions about any of our titles.

Rob Calver
Acquisitions Editor, Statistics
Chapman & Hall/CRC
Taylor & Francis Group
Informa
24 Blades Court
Deodar Road
London SW15 2NU, UK

Tel: +44 (0)20 7017 6334
Fax: +44 (0)20 7017 6747
Email: mailto:rob.calver at informa.com



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