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'. The package focuses
on visualising the selected test using appropriate plots— such as box plots,
bar charts, regression lines with confidence bands, mosaic plots, residual
plots and Q–Q plots. Each plot is annotated with relevant test statistics
and, where applicable, assumption checks and post-hoc results. The scripted
workflow is particularly well suited for interactive interfaces where users
access data only through a graphical front end backed by server-side R
sessions, as well as for quick data exploration, for example, in statistical
consulting contexts.
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: |
0.1.5 |
| Imports: |
Cairo, graphics, grDevices, grid, multcompView, nortest, stats, utils, vcd |
| Suggests: |
bookdown, knitr, rmarkdown |
| Published: |
2025-05-24 |
| DOI: |
10.32614/CRAN.package.visStatistics |
| Author: |
Sabine Schilling 
[cre, aut, cph] (year: 2025),
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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