6 After a few false starts, I (Tony Rossini) finally know how I want to
7 proceed. First, we update CLS. Then, continue with TSL. Separation
8 is needed, so that we can make everything separate.
10 We are working with SBCL and CLISP implementations to keep a wide
11 range of target platforms.
16 Original, dating to Oct 30, 1991.
18 This is Lisp-Stat 1.0 Alpha 1, a first attempt at producing a Common
19 Lisp version of Lisp-Stat. This version contains NO graphics, but
20 should implement all the non-graphical facilities of Lisp-Stat.
22 The implementation uses C code from XLISP-STAT for linear algebra and
23 probability distributions, so this code is dependent an a CL's foreign
24 function interface. At this time, three CL's are supported: AKCL (at
25 least verision 1-600) for UNIX systems, Franz' Allegro CL for UNIX
26 systems, and Macintosh CL (version 2.0b1). Separate README files
29 On A DEC 3100 or 5000 the AKCL version of Lisp-Stat runs about half as
30 fast as xlispstat on a standard battery of tests if xlispstat is given
31 an (expand 30) command. I seem to recall that on a sun3 this the AKCL
32 code and xlispstat code run at about the same speed. I have not yet
33 confirmed this. If so, then the relative performance of the AKCL
34 version to xlispstat may be quite hardware-dependent. The Allegro
35 version on a DEC 5000 is considerably slower and larger than the AKCL
36 version, but I have not yet figured out how to tune Allegro's memory
37 management. The Macintosh CL version seems to run at least as fast as
38 xlispstat on the Macintosh.
40 To port this code to another CL, you need to
42 Edit defsys.lsp to add any necessary definitions
44 Add a top level to lstoplevel.lsp (this is only needed if you
45 want to recover the history mechanism, which is broken by
48 Write versions of the lisp and/or C glue files to interface to
51 Experiment with tuning the memory management to run reasonably
52 in statistical applications.
54 If you do port this code to another CL, please let me know so I can
55 add it to this distribution.
59 University of Minnesota
61 luke@umnstat.stat.umn.edu