SOFA Statistics
 SOFA Statistics | |
| Developer(s) | Paton-Simpson & Associates Ltd |
|---|---|
| Stable release |
1.4.6
/ 2 January 2016 |
| Written in | Python |
| Operating system | Cross-platform |
| Type | Statistical analysis |
| License | AGPL |
| Website |
www |
SOFA Statistics is an open-source statistical package. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, PostgreSQL, SQLite, MS Access (mdb), Microsoft SQL Server, and CUBRID. Data can also be imported from CSV and Tab-Separated files or spreadsheets (Microsoft Excel, OpenOffice.org Calc, Gnumeric, Google Docs). The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearson's chi squared, 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, lower and upper quartiles, and sum.
Installation packages are available for several Operating Systems such as Microsoft Windows, Ubuntu, ArchLinux, Linux Mint, and macOS (Leopard upwards).
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.