`The S system, which has forever altered how people analyze,
visualize, and manipulate data.'
Citation from 1998 ACM/Software System Award for J. M. Chambers
S-PLUS is a powerful environment for statistical and graphical analysis of data. It provides the tools to
implement many standard and modern statistical methods made possible by the widespread availability
of workstations having good graphics and computational capabilities.
"Introduction to S-PLUS for UNIX"
This will be a two-day introduction course on S-PLUS
for UNIX.
This course features a hands-on approach to learning, dividing class time between lecture and online exercises. All participants
receive the educational materials used in the course, including
lecture notes, supplementary materials, and exercises. Participants
will be provided with a computer for the exercises, and tutors
will be on hand to assist with questions.
Dates:
13 & 14 February 2001;
25 & 27 October 2000; 10-11 October 2000;
21 & 27 October 1999; 18-19 October 1999; 8-9 April 1999.
S-PLUS Documentation
Kuonen, D. (2001). Introduction to S-PLUS for UNIX
(with exercises) - Fourth Edition. Department of Mathematics, Swiss
Federal Institute of Technology, CH-1015 Lausanne.
This fourth edition has been revised, and some exercices were
added. The author tried where possible to use code that works in all versions of S-PLUS and in R. Download the gzipped postscript
version or the gzipped PDF
version.
Kuonen, D. (2000). Introduction to S-PLUS for UNIX
(with exercises) - Third Edition. Department of Mathematics, Swiss
Federal Institute of Technology, CH-1015 Lausanne.
This third edition has been revised, and some exercices were
added. The author tried where possible to use code that works in all versions of S-PLUS and in R. Download the gzipped postscript
version or the gzipped PDF
version.
Kuonen, D. (1999). Introduction to S-PLUS for UNIX
(with exercises) - Second Edition. Department of Mathematics, Swiss
Federal Institute of Technology, CH-1015 Lausanne.
This second edition has been revised, exercices were
added, and a new chapter on a short comparison of S-PLUS 5.x with
S-PLUS 3.4 was included. Moreover, the author tried where possible to use
code that works in all versions of S-PLUS and in R.
Download the gzipped postscript
version or the gzipped
PDF version.
Kuonen, D. (1999). Introduction to S-PLUS for UNIX
(with exercises) - First Edition. Department of Mathematics, Swiss
Federal Institute of Technology, CH-1015 Lausanne.
Renaud, O. Avant-goût de Splus ou
comment avoir une base en 1 heure (in French ).
Introduction à S-PLUS - DEA Analyse et Modélisation des Systèmes
Biologiques - Université Lyon 1, France (in French).
Baumgartner, M. (1994). Une introduction à S-Plus Version 3.1
pour Silicon Graphics Iris. Département de Mathématiques,
Chaire de Statistique, EPFL, CH-1015 Lausanne.
Crawley, M. (2002), Statistical Computing: An Introduction to
Data Analysis using S-Plus. John Wiley & Sons, Inc. For details click here
Venables, W.N. and Ripley, B.D. (2000), S Programming. For details click here
Venables, W.N. and Ripley, B.D. (1999, Third Edition), Modern Applied Statistics with S-PLUS. For details click here
Krause, A. and Olson, M. (1997), The Basics of S and
S-PLUS. For details click here or here
(in German)
Bowman, A.W. and Azzalini, A. (1997), Applied Smoothing Techniques
for Data Analysis: the Kernel Approach with S-Plus Illustrations.
Click here to
download The `sm' library.
R, also known as `GNU S', is a system for statistical computation
and graphics. See
the R FAQ for a discussion of the
differences between R and S. Moreover, look at:
The Comprehensive R Archive Network
(CRAN), and Rweb: a Web based interface to R.
ESS: Emacs speaks Statistics, an
Emacs-Lisp interface to interactive statistical programming and data
analysis languages, including: S dialects (such as R), LispStat
dialects and SAS.