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SOFA Statistics

SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as... Created by Dr Grant Paton-Simpson, Paton-Simpson & Associates Ltd

Free Open Source
Mac
Windows
Linux

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.... More Info »

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.

Link to official SOFA Statistics site

Official Website

Features

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Tags

reporting statistical-analysis

SOFA Statistics (sometimes referred to as SOFA) was added by pyGrant in Jan 2010 and the latest update was made in Feb 2017. The list of alternatives was updated Jan 2019 There is a history of all activites on SOFA Statistics in our Activity Log. It's possible to update the information on SOFA Statistics or report it as discontinued, duplicated or spam.

Choosing the right test made easy

Make simple or complex tables easily

MORE APP INFO Official website

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