S (programming language)

Last updated
S
Paradigm Multi-paradigm: imperative, object oriented
Developer Rick Becker, Allan Wilks, John Chambers, William S. Cleveland, Trevor Hastie
First appeared1976;49 years ago (1976)
Typing discipline dynamic, strong
License depends on implementation
Website ect.bell-labs.com/sl/S/ at the Wayback Machine (archived 2018-10-14)
Major implementations
S-PLUS
Influenced by
C, APL, PPL, Fortran
Influenced
R

S [1] is a statistical programming language developed primarily by John Chambers and (in earlier versions) Rick Becker, Trevor Hastie, William Cleveland and Allan Wilks of Bell Laboratories. The aim of the language, as expressed by John Chambers, is "to turn ideas into software, quickly and faithfully". [1] It was formerly widely used by academic researchers., [2] but has now been superseded by the partially backwards compatible [3] R language, a part of the GNU free software project. [4] S-PLUS was a widely used commercial implementation of S that was formerly sold by TIBCO Software.

Contents

History

"Old S"

S is one of several statistical computing languages that were designed at Bell Laboratories, and first took form between 1975–1976. Up to that time, much of the statistical computing was done by directly calling Fortran subroutines; however, S was designed to offer an alternate and more interactive approach, motivated in part by exploratory data analysis advocated by John Tukey. [5] Early design decisions that hold even today include interactive graphics devices (printers and character terminals at the time), and providing easily accessible documentation for the functions.[ citation needed ]

Development of the project was led by John Chambers and Trevor Hastie, and included developers Richard Becker, Allan Wilks, John Chambers, and William Cleveland, [6] all of whom were then employees of AT&T. [7] Out of the developers who contributed to S, Chambers is generally agreed to be the most significant contributor. [4] Chambers received the Software System Award from the Association for Computing Machinery for his work on S. [8]

The first working version of S was built in 1976, and ran on the GCOS operating system. At this time, S was unnamed; naming suggestions included ISCS (Interactive SCS), SCS (Statistical Computing System), and SAS (Statistical Analysis System) (which was already taken: see SAS System). The name 'S' (used with single quotation marks until 1979) was chosen, as it was a common letter in the suggestions and consistent with other programming languages designed from the same institution at the time (namely the C programming language). [5] It stands for the word "statistics". [9]

When UNIX/32V was ported to the (then new) 32-bit DEC VAX, computing on the Unix platform became feasible for S. In late 1979, S2 was ported from GCOS to UNIX, which would become the new primary platform. [10]

In 1980 the first version of S was distributed outside Bell Laboratories and in 1981 source versions were made available. [5] S was distributed freely in academic circles, and became popular among academic statisticians. [11] The research team at Bell Laboratories published two books in 1984: S: An Interactive Environment for Data Analysis and Graphics [12] (known as the 'Brown Book') and Extending the S System. [13] Also, in 1984 the source code for S became licensed through AT&T Software Sales for education and commercial purposes.

"New S"

The first version of S-PLUS was released by Statistical Sciences, Inc. in 1988. S-PLUS was later sold to TIBCO Software. [9] By this time, many changes were made to S and the syntax of the language with the release of S3. [10] The New S Language [14] (known as the 'Blue Book') was published to introduce the new features, such as the transition from macros to functions and how functions can be passed to other functions (such as apply). Many other changes to the S language were to extend the concept of "objects", and to make the syntax more consistent (and strict). However, many users found the transition to New S difficult, since their macros needed to be rewritten. Many other changes to S took hold, such as the use of X11 and PostScript graphics devices, rewriting many internal functions from Fortran to C, and the use of double precision (only) arithmetic. The New S language is very similar to that used in modern versions of S-PLUS and R.

The graphical user interface of S was also updated interactive graphical features after integration with Axum. [9]

Statistical Models in S [15] (known as the 'White Book') was published in 1991, introducing Wilkinson-Rogers formula notation [16] (using the ~ operator) for defining statistical models, data frame objects, and modifications to the use of object methods and classes.

S4

The latest version of the S standard is S4, released in 1998. [17] It provides advanced object-oriented features. S4 classes differ markedly from S3 classes; S4 formally defines the representation and inheritance for each class, and has multiple dispatch: the generic function can be dispatched to a method based on the class of any number of arguments, not just one. [18]

See also

References

  1. 1 2 Chambers, John M (1998). Programming with Data: A Guide to the S Language. Springer. ISBN   978-0-387-98503-9.
  2. ↑ "S-Plus: An Introduction". www.stat.rice.edu. Retrieved 2024-02-28.
  3. ↑ Nicholls, Andy; Pugh, Richard; Gott, Aimee (2015-12-16). R in 24 Hours, Sams Teach Yourself. Sams Publishing. ISBN   978-0-13-428880-2.
  4. 1 2 Ashwani, Kumar; Satyanarayana, Reddy, Seelam Sai (2020-09-25). Advancements in Security and Privacy Initiatives for Multimedia Images. IGI Global. p. 179. ISBN   978-1-7998-2797-9.{{cite book}}: CS1 maint: multiple names: authors list (link)
  5. 1 2 3 Becker, Richard A., A Brief History of S, Murray Hill, New Jersey: AT&T Bell Laboratories, archived from the original (PS) on 2015-07-23, retrieved 2015-07-23
  6. ↑ Berry, Kenneth J.; Johnston, Janis E.; Jr, Paul W. Mielke (2014-04-11). A Chronicle of Permutation Statistical Methods: 1920–2000, and Beyond. Springer Science & Business Media. pp. 207–208. ISBN   978-3-319-02744-9.
  7. ↑ Encyclopedia of Statistical Sciences, Volume 12. John Wiley & Sons. 2005-12-16. p. 8088. ISBN   978-0-471-74406-1.
  8. ↑ Charpentier, Arthur (2014-08-26). Computational Actuarial Science with R. CRC Press. p. 4. ISBN   978-1-4987-5982-3.
  9. 1 2 3 Nicholls, Andy; Pugh, Richard; Gott, Aimee (2015-12-16). R in 24 Hours, Sams Teach Yourself. Sams Publishing. ISBN   978-0-13-428880-2.
  10. 1 2 Chambers, John (2008-06-14). Software for Data Analysis: Programming with R. Springer. pp. 477–478. ISBN   978-0-387-75936-4.
  11. ↑ Hardin, James W.; Hilbe, Joseph M. (2002-07-30). Generalized Estimating Equations. CRC Press. p. 12. ISBN   978-1-4200-3528-5.
  12. ↑ Becker, R.A.; Chambers, J.M. (1984). S: An Interactive Environment for Data Analysis and Graphics . Pacific Grove, CA, USA: Wadsworth & Brooks/Cole. ISBN   0-534-03313-X.
  13. ↑ Becker, R.A.; Chambers, J.M. (1985). Extending the S System. Pacific Grove, CA, USA: Wadsworth & Brooks/Cole. ISBN   0-534-05016-6.
  14. ↑ Becker, R.A.; Chambers, J.M.; Wilks, A.R. (1988). The New S Language: A Programming Environment for Data Analysis and Graphics. Pacific Grove, CA, USA: Wadsworth & Brooks/Cole. ISBN   0-534-09192-X.
  15. ↑ Chambers, J.M.; Hastie, T.J. (1991). Statistical Models in S. Pacific Grove, CA, USA: Wadsworth & Brooks/Cole. p. 624. ISBN   0-412-05291-1.
  16. ↑ Wilkinson, G.N.; Rogers, C.E. (1973). "Symbolic description of factorial models for analysis of variance". Applied Statistics. 22 (3): 392–399. doi:10.2307/2346786. JSTOR   2346786.
  17. ↑ Chambers, John (January 1, 2001). "The S System". Bell Labs. Archived from the original on 2018-10-14.
  18. ↑ Wickham, Hadley (2019). "S4". Advanced R. adv-r.had.co.nz. ISBN   9781466586963 . Retrieved 2020-02-18.
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