| SOFA Statistics | |
|---|---|
 SOFA Statistics | |
| Developers | Paton-Simpson & Associates Ltd |
| Stable release | 1.5.7 / 11 September 2024; 14 months ago (2024-09-11) |
| Written in | Python |
| Operating system | Cross-platform |
| Type | Statistical analysis |
| License | AGPL |
| Website | www |
SOFA Statistics is anopen-sourcestatistical package. The name stands forStatisticsOpenForAll. It has agraphical user interface and can connect directly toMySQL,PostgreSQL,SQLite,MS Access(map), andMicrosoft SQL Server. Data can also be imported fromCSV andTab-Separated files or spreadsheets (Microsoft Excel,OpenOffice.org Calc,Gumeric,Google Docs). The main statistical tests available areIndependent and Paired t-tests,Wilcoxon signed ranks,Mann–Whitney U,Pearson's chi squared,Kruskal Wallis H,one-way ANOVA,Spearman's R, andPearson's R. Nested tables can be produced with row and column percentages, totals,standard deviation,mean,median,lower and upper quartiles, and sum.
Installation packages are available for severaloperating systems such asMicrosoft Windows,Ubuntu,Arch Linux,Linux Mint. OnmacOS, SOFA only runs on older versions the OS withLeopard being the minimum version.
SOFA Statistics is written inPython, and thewidget toolkit used isWxPython. The statistical analyses are based on functions available through theSciPy stats module.[1]
Users are guided through the selection of the appropriate basic statistical methods and assignment of the basic statistical on the table column of the data that should be analyzed. The features available within SOFA for statistical analysis are limited compared to those found in Open SourceR Statistics Software, which contains a largerepository of statistics packages.
