SOFA Statistics

SOFA Statistics

Developer(s)	Paton-Simpson & Associates Ltd
Stable release	0.9.3 / 1 February 2010
Written in	Python
Operating system	Cross-platform
Development status	Active
Type	Statistical analysis
License	AGPL
Website	sofastatistics.com

SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as you go, and beautiful output. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, SQLite, MS Access, and MS SQL Server. Data can also be imported from CSV or MS Excel files. The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearson's chi square, Kruskal Wallis H, one-way ANOVA, Spearman's R, and Pearson's R. Nested tables can be produced with row and column percentages, totals, sd, mean, median, and sum.

SOFA Statistics is written in Python, and the widget toolkit used is wxPython. The statistical analyses are based on functions available through the Scipy stats module.

Analysis and reporting can be automated using Python scripts – either exported directly from SOFA Statistics or manually written.

See also

• Comparison of statistical packages
• List of statistical packages

External links

• SOFA Statistics Homepage
• SOFA Statistics project page at SourceForge
• SOFA Statistics project page at Launchpad
• SOFA Statistics page at Showmedo