SOFA Statistics
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.
Features
- Graphical User Interface
- Database Management Tool
- Reporting
SOFA Statistics News & Activities
Recent activities
SageBowSystems added SOFA Statistics as alternative to SageBow
POX added SOFA Statistics as alternative to Positron
SOFA Statistics information
Developed by
Dr Grant Paton-Simpson, Paton-Simpson & Associates Ltd Licensing
Open Source and Free product.Alternatives
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- English
AlternativeTo Category
Office & Productivity
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What is SOFA Statistics?
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, Pearsons chi square, Kruskal Wallis H, one-way ANOVA, Spearmans R, and Pearsons 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.