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S Programming (Statistics and Computing)
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From the reviews: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "Let me come right to the point. If you use S at all – either through the S-PLUS commercial software package or its free open software variant, R – get this book. It is a superbly written, indispensable resource to the S language. Whether you merely dabble in S/R (or are contemplating such dabbling) or are a seasoned veteran who uses it extensively, you will find [this book] invaluable…I would be remiss if I did not pay homage to what I consider a most welcome feature of this book: the superb quality of the writing and the remarkable attention to detail by both authors and publisher. V&R write clearly and very concisely; they take great care to explain what needs to be explained, but they do not patronize the reader with trivialities; they use many well chosen examples and code snippets to support their expositions; and they organize and sequence topics logically, and extensively and liberally cross-reference them by page number to help the reader understand how they relate. Finally, V&R frequently take pains to point out lurking software traps and documentation inaccuracies that can plague users. I consider such conscious efforts to mitigate future aggravations for readers a thoughtful courtesy that more software documenters should emulate. I also would like to compliment the publishers on the superb typography and page layout that clearly distinguishes text, code, tables, section headings, and so forth. The editing is also remarkable: I noticed no errors at all! This level of attention to production detail makes the book very easy to either browse or study. I appreciated it very much. In many respects, [this book] could serve as a model for what ought to be the standard in software references. It strikes a careful and effective balance between providing a big picture of the overall language structure and the details necessary to fit the pieces together and make them work…It is written with attention to style and clarity and produced to help the reader grasp the content as easily as possible. Such details matter, and it is a pleasure to give credit where credit is clearly due. S PROGRAMMING should be on every S/R user’s desk next to the computer, and maybe in every software documenter’s library as well."
Kurzbeschreibung
S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It is intended for readers who have some acquaintance with the S language and want to know how to use it more effectively, for example to build re-usable tools for streamlining routine data analysis or to implement new statistical methods. One of the outstanding strengths of the S language is the ease with which it can be extended by users. S is a functional language, and functions written by users are first-class objects treated in the same way as functions provided by the system. S code is eminently readable and so a good way to document precisely what algorithms were used, and as much of the implementations are themselves written in S, they can be studied as models and to understand their subtleties. The current implementations also provide easy ways for S functions to call compiled code written in C, Fortran and similar languages; this is documented here in depth. Increasingly S is being used for statistical or graphical analysis within larger software systems or for whole vertical-market applications. The interface facilities are most developed on Windows® and these are covered with worked examples. The authors have written the widely used Modern Applied Statistics with S-PLUS, now in its third edition, and several software libraries that enhance S-PLUS and R; these and the examples used in both books are available on the Internet. Dr. W.N. Venables is a senior Statistician with the CSIRO/CMIS Environmetrics Project in Australia, having been at the Department of Statistics, University of Adelaide for many years previously. Professor B.D. Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition and neural networks. Both authors are known and respected throughout the international S and R communities, for their books, workshops, short courses, freely available software and through their extensive contributions to the S-news and R mailing lists.
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Einleitungssatz
S is a language for "programming with data", in the words of the title of Chambers (1998). Lesen Sie die erste Seite Ausgewählte Seiten ansehen
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
S is a language for "programming with data", in the words of the title of Chambers (1998). Lesen Sie die erste Seite Ausgewählte Seiten ansehen
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
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4 von 4 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
For those seeking an introduction to programming in S, or seeking information on how to use S for statistical applications, this is NOT a good choice as a "first purchase", nor is it intended to be. Instead, choose these authors' other textbook, Modern Applied Statistics with S-Plus.
This book isn't primarily about using S, using S-PLUS (a commercial version of S), nor using R (an Open Source version of S), but rather, it's about showing how to write programming extensions to the base S functions. In fact, for those seeking such guidance, this is the book's great virtue.
It's written by two world-class authorities on the subject of S programming, persons who are generous in their efforts to help others and who can be contacted through the Internet. However, this particular text assumes the reader is already committed to using S, and hence, contains little 'motivational' material. Yet for the audience to whom it's addressed, it's essential, or at least highly recommended, reading.
The latest commercial version of S (S-PLUS 2000 from Mathsoft, Inc.) has a graphical user interface (GUI). A chapter is included in the latter portion of the book on how to program such interfaces.
Also, a chapter is devoted to extending S with compiled code written in C, Fortran, or C++. Since S is an interpreted language, using compiled code can increase the speed of newly created functions. This is highly technical, however, and not for the neophyte.
Potential software developers of vertical-market applications involving S-PLUS, among others, will benefit from purchasing "S Programming" by Venables & Ripley.
Format:Gebundene Ausgabe
Not only is this a terrible book but it's a scam.
For a start it doesn't have 400 pages as indicated, but only 250. Besides a great deal of its content is covered (or lifted, as an egregious example of self plagiarism) in "Modern Applied Statistics with S" (4th Ed.) by the same authors and publisher.
To the content: This is neither a reference book, nor an introductory book. It is rather a collection of interesting facts about the S language along some badly thought illustrative examples.
I found that the examples would often contain unnecessary and confusing code, and the lack of in-line comments only generates more confusion.
The style is dry and loaded with jargon and generally tends towards illustrating specific features rather than explaining the underlying principles and concepts.
For a start it doesn't have 400 pages as indicated, but only 250. Besides a great deal of its content is covered (or lifted, as an egregious example of self plagiarism) in "Modern Applied Statistics with S" (4th Ed.) by the same authors and publisher.
To the content: This is neither a reference book, nor an introductory book. It is rather a collection of interesting facts about the S language along some badly thought illustrative examples.
I found that the examples would often contain unnecessary and confusing code, and the lack of in-line comments only generates more confusion.
The style is dry and loaded with jargon and generally tends towards illustrating specific features rather than explaining the underlying principles and concepts.
2 von 3 Kunden fanden die folgende Rezension hilfreich
Format:Gebundene Ausgabe
This text was not well suited as an introductory text. I do not recommend this text unless you have some knowledge of a high level programming language or prior experience with S plus. This text is well suited as an intermediate level text. As its title implies it is inteded for those interested in more advanced programming with the S plus language. It is hard to read and the examples are are not always clear. The authors do provide a nice comparison of how S plus and R differ. For first time users of S plus I would recommend "The Basics of S and S-plus by Krause and Olson.
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