R (http://cran.r-project.org/) together with RStudio (http://www.rstudio.com/). There is no better choice.
R (http://cran.r-project.org/) together with RStudio (http://www.rstudio.com/). There is no better choice.
have you ever experienced the open source scilab tool ?
http://www.scilab.org/
I use SPPS, Systat , you can try SAS , but it depends on the type of work you do
Just to add more depth to my previous answer, why is R/RStudio an excellent choice to perform statistics on the Mac (and also on Linux and Windows, for what matters)?
The pros:
- Free and open source: you can install and use it everywhere, without licensing issues;
- Huge number of packages for extending the base application and for handling specialized/specific tasks. Actually, the number of packages is so huge that one needs specific search tools to find what could be useful, e.g., http://cran.r-project.org/web/views/, http://dirk.eddelbuettel.com/cranberries/, http://www.rseek.org/;
- Excellent support: several websites post introductory and advanced articles and tutorials about R and its packages (http://www.statmethods.net/, http://www.r-bloggers.com/, http://learnr.wordpress.com/, to name a few) and you can also find several interesting papers on R-Journal (http://journal.r-project.org/index.html), an online magazine devoted to R;
- Easily programmable: if you have some basic programming skills you can easily write scripts to automate your statistical analyses.
Cons:
- Steep learning curve, but RStudio eases things considerably. And that is science, after all.
It really depends on whether you are comfortable with a command line approach of stats in which case I could recommend R, which is free and flexible plus one can interact with other users and share their experiences. The other platforms would include stata and, spss
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