My wife is looking for an Open Source Statistics program for Linux that does multinomial logistic regression and can import from spss, stata, or other popular statistic programs. Please e-mail me (mike.basinger(at)gmail.com) if you know of any programs that could work.

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6 Responses to “Open Source Stats Programs?”

  1. Jim Campbell says:

    There is PSPP, which is a free software implementation of SPSS. Of course, some have said that it stands for, “People Should Prefer PSPP.” ;-) I think that it is command-line only, though, and I don’t think that it is a complete implementation of the SPSS language, but I don’t know all about it.

    I’ll be following this thread to see what others say here, too.

  2. jldugger says:

    Apparently our stats professors now teach students R, you might look to see if that meets your needs.

  3. Firas MR says:

    Hi there. I was exploring different stat programs a while back myself and just realized that many if not most of them use different programming languages at the very core. SPSS uses a proprietary language and by extension unique commands and syntax afaik, and so does SAS. I don’t know how this affects interoperability between them.

    ‘R’ is known to be a powerful opensource stats package and I suggest you take a look at it. There are many GUIs available that work with R, most noteworthy of which is R-Commander. Cheereo.

  4. anonymous says:

    Yes: I am a statistician by education and I can seriously say that R (http://www.r-project.org/) is the most prominent statistical software suite around, regardless whether the competitors are commercial or open source ones. CRAN (the CPAN-comparable) repository) contains almost anything you can imagine; all packages are based on research. The community is active and mostly academic; many involved people are known names within the scientific statistical community.

    Learning curve can be a little deep, but it is all worth it. Also: unlike others, I would recommend not to use GUIs for R.

    Finally, also Gretl (GNU regression, Econometrics and Time-Series Library; http://gretl.sourceforge.net/) can handle all basic regressions, including logistic ones, easily.

  5. Vadim P. says:

    My statistics course at university was also taught using R.

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