![]() SOFA Statistics
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Developer(s) | Paton-Simpson & Associates Ltd |
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Stable release |
1.4.6 / 2 January 2016
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Development status | Active |
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.