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Software for Data Analysis: Programming with R

by John Chambers
Software for Data Analysis: Programming with R

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  • Synopses & Reviews

ISBN13: 9780387759357
ISBN10: 0387759352



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Synopses & Reviews

Publisher Comments

John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. He is author or coauthor of the landmark books on S.

Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching.

This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated.

The techniques covered include such modern programming enhancements as classes and methods, namespaces, and interfaces to spreadsheets or data bases, as well as computations for data visualization, numerical methods, and the use of text data.

Review

From the reviews: "R is nowadays the language used in programming for statistics. Most of the thesis and practical programming are implemented in this language. This is a valuable book for every body involved in data analysis, not only statisticians. Being written by the father of S programming language, as R is S based, the development of the presentation as well as the advises are good for fitting the minds of the students within the roots of the art of programming with R." (J. Scheneweiss, Revista Investigación Operacional, Vol. 30 (2), 2009) "...Written by one of the developers of R's predecessor, S, the book's aim...is to take the reader 'from user to programmer to contributor' in R. ...It is written in plain, clear English. The necessary terminology that is specific to R is defined over the course of the book and is easy to locate should a reader not start from the beginning. The author has attempted to keep chapters somewhat independent so that not starting from the beginning is an option for more advanced R users who are in need of a reference rather than a tutorial. There are two special indexes, separate from the main index, covering 'R Functions and Documentation' and 'R Classes and Types.'...I would expect that this book will find a home on a great many bookshelves. ..." (Biometrics 65, 1313, December 2009) "...This is a book that will appeal to readers of diverse backgrounds. For R users it has a wealth of information on learning to use R effectively; from efficient and reliable programming to writing packages. It is an authoritative reference for programmers and developers. It is the type of book that will be referenced often, as the reader's experience with R, level of expertise and interest in programming grows." ( The American Statistician, August 2009, Vol. 63, No. 3) "This text is about using computer software, in particular R, for obtaining information from the data ... . 'is aimed at those who need to select, modify, and create software to explore data, in other words, to program.' ... The book is aimed at (i) data analysts, namely anyone involved in exploring data, from data arising in scientific research to, say, data collected by the tax office; (ii) researchers in, and teachers of, statistical techniques and theory; (iii) those primarily interested in software and programming." (Susan R. Wilson, Zentralblatt MATH, Vol. 1180, 2010) "This book is for software developers and advanced R users who want to become export R users: developing packages and new classes, and working with methods and generic functions. ... This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual steps, starting with simple functions. More advanced programming techniques can be added as needed.... Software developers and advanced R users should find that this book is full of wisdom ... ." (David J. Olive, Technometrics, Vol. 52 (2), May, 2010)

Synopsis

John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. He is author or coauthor of the landmark books on S. Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching. This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. The techniques covered include such modern programming enhancements as classes and methods, namespaces, and interfaces to spreadsheets or data bases, as well as computations for data visualization, numerical methods, and the use of text data.

Synopsis

Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated through actual experiments, ranging from the timeless agricultural randomized complete block, to microarray experiments, which naturally lead to split plot designs and balanced incomplete blocks.

Synopsis

This is the only advanced programming book on R, the enormously successful open-source system based on the S language. It guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages.

Synopsis

John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved.

Table of Contents

Computing with data.- Using R.- Programming: The basics.- Objects.- Data.- Data visualiation and graphics.- Computations: The basics.- Computing with text.- How R works.- R packages.- New classes.- Methods and generic functions.- Programming for users.- Designing and training software.- C and Fortran.- Interfaces with other systems.- Programming models.


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Product Details

ISBN:
9780387759357
Binding:
Hardcover
Publication date:
08/10/2009
Publisher:
Springer
Series info:
Statistics and Computing
Language:
English
Pages:
500
Height:
1.41IN
Width:
6.32IN
Series:
Statistics and Computing
Number of Units:
1
Illustration:
Yes
Copyright Year:
2008
UPC Code:
2800387759359
Author:
John M Chambers
Author:
John Chambers
Subject:
Numerical analysis -- Data processing.
Subject:
Statistical Computing
Subject:
R (Computer program language)
Subject:
Statistics and Computing/Statistics Programs
Subject:
Data Visualization
Subject:
Data analysis
Subject:
Programming
Subject:
Software Engineering - Programming and Languages
Subject:
Data processing
Subject:
Statistics and Computing/Statistics Programs

This is the only advanced programming book on R, the enormously successful open-source system based on the S language. It is written by John Chambers, the author of the S language from which R evolved. R s i


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$239.95
New Hardcover
Available at a Remote Warehouse. Ships separately from other items. Additional shipping charges may apply. Not available for In Store Pickup. More Info
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