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- 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 (map), and Microsoft SQL Server. Data can also be imported from CSV and Tab-Separated files or spreadsheets (Microsoft Excel, OpenOffice.org Calc, Gumeric, 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, standard deviation, mean, median, lower and upper quartiles, and sum. Installation packages are available for several Operating Systems such as Microsoft Windows, Ubuntu, Arch Linux, 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. (en)
- SOFA (singkatan dari: Statistics Open For All) adalah perangkat lunak sumber terbuka yang mengandung banyak fungsi statistika dan dapat disambungkan secara langsung dengan perangkat lunak MySQL, SQLite, Microsoft Access, dan Microsoft SQL Server. (in)
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| rdfs:comment
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- SOFA (singkatan dari: Statistics Open For All) adalah perangkat lunak sumber terbuka yang mengandung banyak fungsi statistika dan dapat disambungkan secara langsung dengan perangkat lunak MySQL, SQLite, Microsoft Access, dan Microsoft SQL Server. (in)
- 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 (map), and Microsoft SQL Server. Data can also be imported from CSV and Tab-Separated files or spreadsheets (Microsoft Excel, OpenOffice.org Calc, Gumeric, 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, standard deviation, mean, median, lower and upper quartiles, and sum. (en)
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