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Programming --- Java (=programmeertaal) --- Java (Computer program language) --- 005.133 --- Object-oriented programming languages --- JavaSpaces technology --- Java (=programmeertaal). --- Java (Computer program language).

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C++ (Computer program language) --- Object-oriented programming --- 005.133 --- C++ (programmeertaal) --- C++ (programmeertaal). --- Hulpmiddelen. --- Programming --- C++ (Computer program language). --- Programmeren. --- C (Computer program language)

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Perl (Computer program language) --- 005.133 --- Pathologically Eclectic Rubbish Lister (Computer program language) --- Practical Extraction and Report Language (Computer program language) --- Scripting languages (Computer science) --- Perl (Computer program language). --- Programming

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Perl (Computer program language). --- Perl (Computer program language) --- 005.133 --- Pathologically Eclectic Rubbish Lister (Computer program language) --- Practical Extraction and Report Language (Computer program language) --- Scripting languages (Computer science)

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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

Programming --- Mathematical statistics --- S (Computer program language) --- 519.68 --- #ABIB:astp --- 005.133 --- Programming languages (Electronic computers) --- Computer programming --- S (Computer program language). --- 519.68 Computer programming --- Probabilities. --- Statistics . --- Probability Theory and Stochastic Processes. --- Statistics and Computing/Statistics Programs. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk --- Acqui 2006