XLispStat

XLispStat is a statistical scientific package based on the XLISP language.

XLispStat
Developer(s)Luke Tierney
Stable release
3.52.23 / March 2, 2013 (2013-03-02)
Written inC, Lisp
Operating systemUNIX/X11, Win16, Win32, MS-DOS,[1] Classic MacOS, AmigaOS[2]
LicenseBSD-like open source license
Websitehomepage.divms.uiowa.edu/~luke/xls/xlsinfo/

Many free statistical software like ARC (nonlinear curve fitting problems) and ViSta are based on this package.

It includes a variety of statistical functions and methods, including routines for nonlinear curve fit. Many add-on packages have been developed to extend XLispStat, including contingency tables[3] and regression analysis[4]

XLispStat has seen usage in many fields, including astronomy,[5] GIS,[6] speech acoustics,[7] econometrics,[8] and epidemiology.[9]

XLispStat was historically influential in the field of statistical visualization.[10]

Its author, Luke Tierney, wrote a 1990 book on it.[11]

XLispStat dates to the late 1980s/early 1990s and probably saw its greatest popularity in the early-to-mid 1990s with greatly declining usage since. In the 1990s it was in very widespread use in statistical education, but has since been mostly replaced by R. There is a paper explaining why UCLA's Department of Statistics abandoned it in 1998,[12] and their reasons for doing so likely hold true for many other of its former users.

Source code to XLispStat is available under a permissive license (similar terms to BSD)[13]

See also

References
  1. http://homepage.divms.uiowa.edu/~luke/xls/xlispstat/old/readme.dos
  2. http://homepage.divms.uiowa.edu/~luke/xls/xlispstat/old/amiga/
  3. Badsberg, J. H. (1992). "Model Search in Contingency Tables by CoCo". Computational Statistics: Volume 1: Proceedings of the 10th Symposium on Computational Statistics. pp. 251–256. doi:10.1007/978-3-662-26811-7_33.
  4. R. Dennis Cook; Sanford Weisberg (25 September 2009) [1994]. An Introduction to Regression Graphics. John Wiley & Sons. ISBN 978-0-470-31770-9.
  5. G. Jogesh Babu; Eric D. Feigelson (6 December 2012). Statistical Challenges in Modern Astronomy II. Springer Science & Business Media. p. 193. ISBN 978-1-4612-1968-2.
  6. Michael Worboys (21 April 1994). Innovations In GIS. CRC Press. p. 186. ISBN 978-0-7484-0141-3.
  7. J. Harrington; S. Cassidy (6 December 2012). Techniques in Speech Acoustics. Springer Science & Business Media. p. x. ISBN 978-94-011-4657-9.
  8. John E. Floyd (4 December 2009). Interest Rates, Exchange Rates and World Monetary Policy. Springer Science & Business Media. p. 5. ISBN 978-3-642-10280-6.
  9. Mitchell H. Gail (2 November 2000). Encyclopedia of Epidemiologic Methods. John Wiley & Sons. p. 855. ISBN 978-0-471-86641-1.
  10. Forrest W. Young; Pedro M. Valero-Mora; Michael Friendly (15 September 2011). Visual Statistics: Seeing Data with Dynamic Interactive Graphics. John Wiley & Sons. p. 25. ISBN 978-1-118-16541-6. XLisp-Stat... has had considerable impact on the development of statistical visualization systems.
  11. Luke Tierney (25 September 2009) [1990]. LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics. John Wiley & Sons. ISBN 978-0-470-31756-3.
  12. de Leeuw, Jan (February 2005). "On Abandoning XLISP-STAT" (PDF). Journal of Statistical Software. 13 (7). ISSN 1548-7660. Retrieved 2017-05-30.
  13. File "COPYING" in archive at ftp://ftp.stat.umn.edu/pub/xlispstat/current/xlispstat-3-52-20.tar.gz
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