xlispstat mit Homebrew installieren

Projektlinks

• Homepage

Befehle und Aliase

• xlispstat

Projektgeschichte

Tierney's Lisp-Stat information page describes the system as an extensible statistical computing environment with an emphasis on dynamic graphical methods. It is based on Lisp, extends arithmetic over lists and vectors, adds statistical and linear-algebra functions, and uses a prototype-based object system for graphics and statistical model representations.

Tierney's 2005 retrospective says Lisp-Stat began in the mid-1980s as a framework for experimenting with dynamic graphics in statistics. The initial motivation was to go beyond point-cloud rotation and experiment with linked brushing, interactive scatterplot matrices, and displays integrated with a language for data manipulation.

The system was documented in Tierney's 1990 Wiley book, LISP-STAT: An Object-Oriented Environment for Statistical Computing and Dynamic Graphics. By the mid-1990s, public articles described it as running across Microsoft Windows, Macintosh, and Unix/X11 systems with a relatively uniform interface.

Adoptionsgeschichte

XLISP-STAT found an audience in 1990s statistical computing, especially where interactive graphics and teaching mattered. Linux Journal introduced it in 1995 as a powerful, interactive, object-oriented statistical environment used for scientific work, statistical computation, matrix manipulation, hypertext illustrations, and teaching tasks.

Its influence also spread through projects built on top of it. ViSta described itself as written in Lisp using XLispStat extensions and presented XLisp-Stat as open, extensible, freely available, and meant for high-level statistical programming and dynamic graphics.

Usage declined as R and other environments took over statistical computing. The Journal of Statistical Software published both Tierney's retrospective and Jan de Leeuw's account of abandoning XLISP-STAT, making the package a documented case study in how research software can be influential yet lose ground to a broader ecosystem.

Wie es verwendet wird

Users worked interactively in a Lisp environment, using vectorized arithmetic, statistical functions, linear algebra, regression model objects, generalized linear models, and plotting facilities. Dynamic plots supported operations such as rotation, brushing, linking, mouse interaction, menus, and dialogs.

For package users today, XLISP-STAT is mostly historical or archival. It remains useful for understanding statistical graphics history, old course material, and software such as Arc or ViSta that built on Lisp-Stat ideas.

Warum Paket-Nerds sich dafür interessieren

XLISP-STAT matters to package nerds because it is a fossil with fingerprints everywhere: an installable scientific environment that anticipated programmable statistics, object-oriented model objects, and linked interactive graphics.

It is also a reminder that scientific package history is not only a straight line toward Python and R. Lisp-Stat explored many of the same questions earlier: what should a statistical language look like, how should graphics and models be objects, and how much extensibility should users have?

Zeitleiste

• Mid-1980s: Tierney began Lisp-Stat while experimenting with dynamic statistical graphics on Macintosh hardware.
• 1990: Wiley published Tierney's LISP-STAT book documenting the object-oriented statistical environment.
• 1995: Linux Journal introduced Lisp-Stat to Linux users as a cross-platform statistical computing environment.
• 1998: Tierney's Lisp-Stat information page summarized the system and linked documentation, projects, bibliography, and future directions.
• 2002: Journal of Statistical Software examples still used Lisp-Stat/ViSta for interactive statistical analysis extensions.
• 2005: JSS published retrospective and migration-era papers discussing the past, future, and abandonment of XLISP-STAT.

Related projects

• XLISP and XLISP-PLUS are the Lisp-family substrate. ViSta and Arc are major statistical systems associated with XLISP-STAT. R is the later statistical environment most often discussed as the ecosystem that displaced it for mainstream statistical computing.

Quellen

• https://homepage.stat.uiowa.edu/~luke/xls/xlispstat/doc/
• https://homepage.stat.uiowa.edu/~luke/xls/xlsinfo/
• https://onlinelibrary.wiley.com/doi/book/10.1002/9780470316818
• https://www.jstatsoft.org/article/view/v007i06
• https://www.jstatsoft.org/article/view/v013i07/50
• https://www.jstatsoft.org/article/view/v013i09
• https://www.linuxjournal.com/article/1064
• https://www.stat.umn.edu/arc/xlispstat.html
• https://www.visualstats.org/vista-frames/xls.html