SOFA Statistics 替代品
29我们整理了一个包含29个免费和付费的SOFA Statistics替代方案的列表。主要竞争对手包括:R (programming language), RStudio。除了这些之外,用户还会将SOFA Statistics与IBM SPSS Statistics, Minitab, EViews进行比较。此外,您还可以在这里查看其他类似的选项:About。
我们整理了一个包含29个免费和付费的SOFA Statistics替代方案的列表。主要竞争对手包括:R (programming language), RStudio。除了这些之外,用户还会将SOFA Statistics与IBM SPSS Statistics, Minitab, EViews进行比较。此外,您还可以在这里查看其他类似的选项:About。
我们整理了一个包含29个免费和付费的SOFA Statistics替代方案的列表。主要竞争对手包括:R (programming language), RStudio。除了这些之外,用户还会将SOFA Statistics与IBM SPSS Statistics, Minitab, EViews进行比较。此外,您还可以在这里查看其他类似的选项:About。
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SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as...
SOFA Statistics is an open-source statistical package, with an emphasis on ease of use, learn as...
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.
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