RKWard aims to become an easy to use, transparent frontend to R, a powerful system for statistical computation and graphics. This software tries to combine the power of the R-language with the ease of use of commercial statistical packages.
Besides a convenient GUI for the most important statistical functions, future versions will also provide seamless integration with an office-suite. Although it can run in numerous environments, it was designed for and integrates with the KDE desktop environment.
It aims to provide useful features both to experienced users of R, wishing to exploit R’s scripting capabilities, as well as to users new to R, looking for an easy way to carry out statistical computation tasks.
- Transparent interface to the underlying R-language.
- Strives to separate content and design to a high degree.
- Relies on a language, that is not only very powerful, but also extensible, and for which dozens of extensions already exist.
- Console with syntax highlighting.
- Script editors.
- Workspace view which allows users to example and manipulate all objects in the R workspace.
- Built-in editor for data.frames.
- Analysis, including:
- Descriptive Statistics.
- Item Response Theory.
- Miscellaneous tests.
- Outlier Tests.
- Time Series.
- Variance / Scale.
- Wilicoxon Tests.
- Box Plot.
- Density Plot.
- ECDF Plot.
- Generic Plot.
- Pareto Chart.
- Scatterplot Matrix.
- Stem-and-Leaf Plot.
- Item Response Theory.
- Distribution Analysis: Anderson-Darling Normality Test, Cramer-von Mises Normality Test, Lilliefors (Kolmogorov-Smirnov) Normality Test, Pearson chi-square Normality Test, Shapiro-Francia Normality Test, Shapiro-Wilk Normality Test, Jarque-Bera Normality Test
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