Angol
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.§
