ISBN: 9781441931900

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-PLU… Meer...

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(R) 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 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 ofhe most 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(R) and these are covered with worked examples. The authors have written the widely adopted ''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 Environmentrics Project in Autralia, 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 thorughout 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. | S Programming by William Venables Paperback | Indigo Chapters Books > Science & Nature > Math & Physics > Mathematics > Probability & Statistics P10117, William Venables<

2011, ISBN: 1441931902

[EAN: 9781441931900], Neubuch, [SC: 0.0], [PU: Springer New York], FORTRAN; OPENSOURCE; SLANGUAGE; SS-PLUS; SIMULATION; DATAANALYSIS; STATISTICALMETHOD; STATISTICS, Druck auf Anfrage Neuw… Meer...

[EAN: 9781441931900], Neubuch, [SC: 0.0], [PU: Springer New York], FORTRAN; OPENSOURCE; SLANGUAGE; SS-PLUS; SIMULATION; DATAANALYSIS; STATISTICALMETHOD; STATISTICS, Druck auf Anfrage Neuware - S is a high-level language for manipulating, analysing and displayingdata. It forms the basis of two highly acclaimed and widely used dataanalysis software systems, the commercial S-PLUS® and the OpenSource R. This book provides an in-depth guide to writing software inthe S language under either or both of those systems. It is intendedfor readers who have some acquaintance with the S language and want toknow how to use it more effectively, for example to build re-usabletools for streamlining routine data analysis or to implement newstatistical methods.One of the outstanding strengths of the S language is the ease withwhich it can be extended by users. S is a functional language, andfunctions written by users are first-class objects treated in the sameway as functions provided by the system. S code is eminently readableand so a good way to document precisely what algorithms were used, andas much of the implementations are themselves written in S, they can bestudied as models and to understand their subtleties. The currentimplementations also provide easy ways for S functions to callcompiled code written in C, Fortran and similar languages; this isdocumented here in depth.Increasingly S is being used for statistical or graphical analysiswithin larger software systems or for whole vertical-marketapplications. The interface facilities are most developed onWindows® and these are covered with worked examples.The authors have written the widely used Modern Applied Statisticswith S-PLUS, now in its third edition, and several software librariesthat enhance S-PLUS and R; these and the examples used in both booksare available on the Internet.Dr. W.N. Venables is a senior Statistician with the CSIRO/CMISEnvironmetrics Project in Australia, having been at the Department ofStatistics, University of Adelaide for many years previously.Professor B.D. Ripley holds the Chair of Applied Statistics at theUniversity of Oxford, and is the author of four other books on spatialstatistics, simulation, pattern recognition and neural networks. Bothauthors are known and respected throughout the international S and Rcommunities, for their books, workshops, short courses, freelyavailable software and through their extensive contributions to theS-news and R mailing lists. 276 pp. Englisch, Books<

2011, ISBN: 1441931902

[EAN: 9781441931900], Neubuch, [SC: 0.0], [PU: Springer New York], FORTRAN; OPENSOURCE; SLANGUAGE; SS-PLUS; SIMULATION; DATAANALYSIS; STATISTICALMETHOD; STATISTICS, Druck auf Anfrage Neuw… Meer...

[EAN: 9781441931900], Neubuch, [SC: 0.0], [PU: Springer New York], FORTRAN; OPENSOURCE; SLANGUAGE; SS-PLUS; SIMULATION; DATAANALYSIS; STATISTICALMETHOD; STATISTICS, Druck auf Anfrage Neuware -S is a high-level language for manipulating, analysing and displayingdata. It forms the basis of two highly acclaimed and widely used dataanalysis software systems, the commercial S-PLUS® and the OpenSource R. This book provides an in-depth guide to writing software inthe S language under either or both of those systems. It is intendedfor readers who have some acquaintance with the S language and want toknow how to use it more effectively, for example to build re-usabletools for streamlining routine data analysis or to implement newstatistical methods.One of the outstanding strengths of the S language is the ease withwhich it can be extended by users. S is a functional language, andfunctions written by users are first-class objects treated in the sameway as functions provided by the system. S code is eminently readableand so a good way to document precisely what algorithms were used, andas much of the implementations are themselves written in S, they can bestudied as models and to understand their subtleties. The currentimplementations also provide easy ways for S functions to callcompiled code written in C, Fortran and similar languages; this isdocumented here in depth.Increasingly S is being used for statistical or graphical analysiswithin larger software systems or for whole vertical-marketapplications. The interface facilities are most developed onWindows® and these are covered with worked examples.The authors have written the widely used Modern Applied Statisticswith S-PLUS, now in its third edition, and several software librariesthat enhance S-PLUS and R; these and the examples used in both booksare available on the Internet.Dr. W.N. Venables is a senior Statistician with the CSIRO/CMISEnvironmetrics Project in Australia, having been at the Department ofStatistics, University of Adelaide for many years previously.Professor B.D. Ripley holds the Chair of Applied Statistics at theUniversity of Oxford, and is the author of four other books on spatialstatistics, simulation, pattern recognition and neural networks. Bothauthors are known and respected throughout the international S and Rcommunities, for their books, workshops, short courses, freelyavailable software and through their extensive contributions to theS-news and R mailing lists. 276 pp. Englisch, Books<

2011, ISBN: 1441931902

2000 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, Mathematische und statistische Software, FORTRAN; Open Source; S language; S-PLUS; Simulation; data analysis; sta… Meer...

2000 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, Mathematische und statistische Software, FORTRAN; Open Source; S language; S-PLUS; Simulation; data analysis; statistical method; statistics, mit Schutzumschlag neu, [PU:Springer New York; Springer US]<

2011, ISBN: 1441931902

2000 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, Mathematische und statistische Software, Fortran; OpenSource; SLanguage; SS-PLUS; Simulation; dataanalysis; stati… Meer...

2000 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, Mathematische und statistische Software, Fortran; OpenSource; SLanguage; SS-PLUS; Simulation; dataanalysis; statisticalmethod; Statistics, mit Schutzumschlag 11, [PU:Springer New York; Springer US]<