by andsoitis on 6/16/25, 1:46 AM
by fud101 on 6/16/25, 4:59 AM
I loved Xlisp-stat, the book was gorgeous and when I discovered Lisp-stat, i was using a Windows XP machine in a college Lab machine - it just worked and I used it as my first lisp. Such a good piece of software. Not sure about the new package - I'm long past my lisping days now.
by submeta on 6/16/25, 7:01 AM
Chose the right tool for the right task. I‘ll go with R and RStudio or even Python for data analysis and statistics. Opting for Lisp is like trying to use a swiss knife to cut a tree just because you love your swiss knife.
by nomilk on 6/16/25, 7:54 AM
It cites inability to compile to machine code as a reason for preferring lisp to R and Python.
What are the benefits of an ability to compile to machine code? Does it mean you can make stand alone binaries (I.e. programs that can run without the language - lisp|R|python - installed), or is there some other advantage, eg performance?
by vindarel on 6/17/25, 10:37 AM
by akashi9 on 6/16/25, 9:10 AM
Interesting and cool idea but by far the biggest strength of R for statistical computer is the wealth of libraries and documentation out there for the language, obviously Rome wasn't built in a day but does lisp-stat offer any of these things?
by jinlisp on 6/16/25, 12:40 PM
I am thinking about developing in Common Lisp a version of J. And this could be a useful library to use with that program.
by b0a04gl on 6/16/25, 9:15 AM
nice to see lisp getting some attention outside the usual circles. if this ships with solid plotting and can handle real datasets without pain, it might actually get used. still feels early. would be good to see a full example that goes from data to chart to binary without touching the REPL. that's where most lisp tools fall short
by awaymazdacx5 on 6/16/25, 5:23 AM
the lispworks test package typically contains xlib-stat over tcp-udp transport protocls that should designate BMP-strings