SOFA Statistics
{{Expansion depth limit exceeded| left =
| #default = }}
{{Expansion depth limit exceeded| {{{Expansion depth limit exceeded}}}
| [[File:{{Expansion depth limit exceeded| speedy = Ambox speedy deletion.png
| delete = Ambox deletion.png
| content = Ambox content.png
| style = Edit-clear.svg
| move = Ambox move.png
| protection = Ambox protection.png
| notice
| #default = Ambox notice.png
}} | {{Expansion depth limit exceeded| left = 20x20px
| #default = 40x40px
}} |link=|alt=]]
}}{{Expansion depth limit exceeded| left =
| #default = |
{{{Expansion depth limit exceeded}}} |
[[Category:{{Expansion depth limit exceeded|{{{Expansion depth limit exceeded}}}|{{{Expansion depth limit exceeded}}}}}]]
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, Pearson's chi square, 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, 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.
See also
External links
If you like SEOmastering Site, you can support it by - BTC: bc1qppjcl3c2cyjazy6lepmrv3fh6ke9mxs7zpfky0 , TRC20 and more...
