visStatistics: Automated Selection and Visualisation of Statistical Hypothesis
Tests
Automatically selects and visualises appropriate statistical
hypothesis tests between a response and a feature variable in a data frame.
The choice of test depends on the class, distribution, and sample size of the
input variables, as well as the user-defined 'conf.level'. Well suited for
web-based or server-side R applications.
Implemented tests: t.test(), wilcox.test(), aov(),
oneway.test(), kruskal.test(), lm(), fisher.test(), chisq.test().
Tests for normality: shapiro.test(), ad.test(). Tests for equal
variances: bartlett.test(). Post-hoc tests: TukeyHSD(),
pairwise.wilcox.test().
| Version: |
0.1.3 |
| Imports: |
Cairo, graphics, grDevices, grid, multcompView, nortest, stats, utils, vcd |
| Suggests: |
knitr, rmarkdown |
| Published: |
2025-05-13 |
| Author: |
Sabine Schilling 
[cre, aut, cph],
Peter Kauf [ctb] |
| Maintainer: |
Sabine Schilling <sabineschilling at gmx.ch> |
| BugReports: |
https://github.com/shhschilling/visStatistics/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/shhschilling/visStatistics,
https://shhschilling.github.io/visStatistics/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
visStatistics results |
Documentation:
Downloads:
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