So you have decided to look at SalStat then? To be fair, I am not a programmer, I am a psychologist and my skills should show in the quality of code (get this, I am being sarcastic about myself!), but one thing I do have is an "itch" to develop a better statistics package. I teach psychology undergrads "computing and statistics" with SPSS and StatView. Both are okay programs, but whenever I teach people this stuff, it always strikes me that things are harder than they should be, especially for people who only need to get a simple result. I am also aware that there are no really good stats packages with good intuitive GUIs available that the user can mess around with. These are my reasons for SalStat. I know my code is not the best or tightest around, but it does work (after a fashion!), and I intend this program to be the best of its kind. At the very least, I hope free/libre competition will encourage the commercial people to pull their socks up in the interface department, which can only benefit consumers. Currently, SalStat is in Beta - to me this means that it can do a few things, but is not what anyone would call a finished package. Through using Python (and wxPython), it is unlikely to crash (although it is possible) because of memory errors, but nothing is perfect. And the architecture: Forgive me for my ignorance, but the way I have structured it is as follows: **salstat.py - this is the main file which contains all the GUI elements and controls just about everything. It's a bit monolithic, but it works well. **salstat_stats.py - this module has taken most of its code from Gary Strangmans own stats.py module. This version is object orientated and custom made for SalStat and is faster for its purpose than the original. **images.py - this simply contains 'pythonic' representations of the icons **wxChart.py - a beginning module for drawing charts in wxPython. It is in its very early days, so don't expect too much, but code changes are more than welcome! Hopefully, some bright person will be able to program multi-factorial anova with easy access to simple effects for me (I really do not have the skills!) If you want to help with this project, then contact me at salstat@sunsite.dk. There are lots of things that need doing, though curiously, documentation seems to be okay for an open source project (I like writing!). Skills needed are Python, and statistics, preferably both. Statisticians who are willing to write tests are more than welcome, and even if you don't know Python (it is quite easy to learn), let me know and I'll try and sort out a way to marry your knowledge with someone elses programming skills. Please don't flame me - I have filters for stuff like "suxxx" and "dude". INSTALLATION (Windows): The Windows executable installs like any other application. Download it and run the executable to install it. You will be given options like having a desktop icon, a menu entry, links to the web pages and so on. The Python source code is also included. INSTALLATION (Linux executable): This is in some ways more complex, but in other ways easier. Unpack the archive ('gunzip salstat*' then 'tar -xvf salstat*') and everything will open into a directory called salstat. If you wish, you can place the directory in /usr/share or somewhere in your home directory. The file called (simply) 'salstat' is the executable, but you may wish to write a short bash script to call the main executable. There is also an icon file which can be used for KDE or Gnome shortcuts if required. The Python source code is also included. INSTALLATION - Linux/Unix and Windows (source code): Open the archive using tar/gunzip for packages ending in tar.gz, or something like WinZip for zip archives. There should be a core of files which you need to put somewhere. As you have wxPython installed, I recommend going to the wxPython directory, and putting them into a directory somewhere. Open a console/DOS box, and change to that directory. Then (assuming Python and wxPython has installed properly), run "python salstat.py". INSTALLATION - Mac OSX: Thanks to Ludger Humbert who has OSX and tried the following: at first anyone who wants to install it has to install a X-Server on the Mac OS X I recommend installing all the software with fink, it's available via http://fink.sourceforge.net/ The second was taken while running Orobor. One can get it on http://wrench.et.ic.ac.uk/adrian/software/oroborosx/ This Window-Manager integrates with look and feel very fine into the native Mac OS X -- Aqua Windowmanager **WARNING** - this is beta software - DO NOT RELY UPON THIS FOR RESEARCH - there is a lot of testing to do before its accuracy can be verified, so the results that come out of this may not be any good at all. It may crash and ruin your data, trash your hard disk, kill you, burn your house down, run off with your life partner, and end the world as we know it. Well, you never know ;), so MAKE BACKUPS BEFORE USING IT! Alan James Salmoni HCI Group Cardiff University Wales, UK. salmonia@cardiff.ac.uk