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...piler These strengths make LispStat an ideal system for implementing statistical systems. It is less suited for doing statistical analysis. As a result, the most significant uses of LispStat have been statistical systems such as Arc and ViSta. In the work I've done with LispStat, ViSta's spreadplot architecture is the best example of LispStat being used to implement a statistical (sub)system (described in a forthcoming JCGS paper by myself, Pedro Valero, Richard Faldowski and Carla Bann). The weaknesses of LispStat are: 1) No high-level analysis modules 2) No standards for data sets, models...

...largely Pedro) been able to implement the kinds of interactive graphical analysis for contingency tables that I always dreamed of. This hinged on the built-in facilities for object-oriented interactive graphic methods, abilities to link graphic windows dynamically, and so forth, and Forrest's spreadplot architecture for ViSta, which combines these facilities with a general graph/window layout mechanism, so that all graph and text windows can be made to work coherently. But, as John points out, a number of people, formerly active in Lisp-stat development have switched to R, for the reasons he outl...