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Category Index of S

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S

S-Plus



R   




ACM: Software System Award
Press release from The Association for Computing Machinery naming Dr. John M. Chambers of Bell Labs as recipient of 1998 award for developing the S System.

Burns Statistics
Software, consulting, training, mainly for the fund management industry; working papers, tutorials, downloads, other information on quantitative finance and programming in S language (R and S-Plus).

Modern Applied Statistics with S
By William N. Venables, B.D. Ripley; Springer-Verlag, 2002, ISBN 0387954570. Guide to using S-Plus and R for statistical analyses: introduces using S, and is a course in modern statistical methods.

Omega Project for Statistical Computing
Joint project to provide variety of open source software for 3 extant statistical languages: S, R, Lisp-Stat. Focus: new directions, more so web-based systems, Java and JVM, and distributed systems.

Programming with Data: A Guide to the S Language
By John M. Chambers; Springer-Verlag, 1998, ISBN 0387985034. Premier reference work on S, written by its chief designer, describes new, greatly extended version.

S Programming
Author's page with errata, description, contact information.

S Programming
By William N. Venables, B.D. Ripley; Springer-Verlag, 2000, ISBN 0387989668. In-depth guide for researchers, graduate students, to writing software in either or both S variants: S-Plus, open source R.

S System
Language and system to organize, visualize, analyze data. A Bell Labs statistics research project, since 1976, this is the foundation and origin of S, S-Plus, and R. Information on relationship among them; descriptions, history, links.

S-News and S-News-Advisory Mailing Lists
Discussion group on S, S-Plus statistics, graphics, programming. Topics: programming, usage questions and suggestions; problem reports; new software announcements; books, articles; conferences, educational events; short job announcements.

The Basics of S-Plus
Author's page with errata, prior editions, S links.

The Basics of S-Plus
By Andreas Krause, Melvin Olson; Springer-Verlag, 2002, ISBN 0387954562. Not comprehensive, explains basics in clear style at level useful for those with little computing or statistics knowledge. Equally useful with R. Ends by comparing S-Plus and R.

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