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Software for Data Analysis: Program- 0387759352, hardcover, John M Chambers, new
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Specificaties
- Objectstaat
- Book Title
- Software for Data Analysis: Programming with R (Statistics and Co
- ISBN
- 9780387759357
- Series
- Statistics and Computing Ser.
- Publication Year
- 2009
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Software for Data Analysis : Programming with R
- Item Length
- 9.3in
- Publisher
- Springer New York
- Item Width
- 6.1in
- Item Weight
- 36.7 Oz
- Number of Pages
- Xiv, 500 Pages
Over dit product
Product Information
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 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.
Product Identifiers
Publisher
Springer New York
ISBN-10
0387759352
ISBN-13
9780387759357
eBay Product ID (ePID)
64378938
Product Key Features
Publication Name
Software for Data Analysis : Programming with R
Format
Hardcover
Language
English
Series
Statistics and Computing Ser.
Publication Year
2009
Type
Textbook
Number of Pages
Xiv, 500 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
36.7 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Qa76.75-76.765
Reviews
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 Investigacin 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), 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) , 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)Â
Table of Content
Introduction: Principles and Concepts.- Using R.- Programming with R: The Basics.- R Packages.- Objects.- Basic Data and Computations.- Data Visualization and Graphics.- Computing with Text.- New Classes.- Methods and Generic Functions.- Interfaces I: Using C and Fortran.- Interfaces II: Between R and Other Systems.- How R Works.- Errata and Notes for "Software for Data Analysis: Programming with R".
Copyright Date
2008
Topic
Programming Languages / General, Mathematical & Statistical Software, Numerical Analysis
Lccn
2008-922937
Dewey Decimal
518.02855133
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Mathematics
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