DSCFTest

Robust non-parametric method for multiple comparisons after Kruskal-Wallis.
Uses rank-based pairwise tests with a pooled variance estimate.

Provides a comprehensive set of tools for descriptive statistics,
graphical data exploration, outlier detection, homoscedasticity testing, and
multiple comparison procedures. Includes manual implementations of Levene's test,
Bartlett's test, and the Fligner-Killeen test, as well as post hoc comparison
methods such as Tukey, Scheffé, Games-Howell, Brunner-Munzel, and others.
This version introduces two new procedures: the Jonckheere-Terpstra trend test
and the Jarque-Bera test with Glinskiy's (2024) correction. Designed for use in
teaching, applied statistical analysis, and reproducible research.
Additionally you can find a post hoc Test Planner, which helps you to make a
decision on which procedure is most suitable.

Carlos Jiménez-Gallardo

Analitica

Exploratory Data Analysis, Group Comparison Tools, and Other
Procedures

DSCFTest function

<dl><dt>formula</dt>
<dd>A formula of the form <code>y ~ group</code>.</dd>
<dt>data</dt>
<dd>A data frame containing the variables.</dd>
<dt>alpha</dt>
<dd>Significance level (default is 0.05).</dd>
<dt>method.p</dt>
<dd>Method for p-value adjustment (default is "holm").</dd></dl>

Arguments

Dwass-Steel-Critchlow-Fligner (DSCF) Test (Non-Parametric) — DSCFTest

<dl>

<dt>formula</dt>
<dd>A formula of the form <code>y ~ group</code>.</dd>


<dt>data</dt>
<dd>A data frame containing the variables.</dd>


<dt>alpha</dt>
<dd>Significance level (default is 0.05).</dd>


<dt>method.p</dt>
<dd>Method for p-value adjustment (default is "holm").</dd>

</dl>

DSCFTest: Dwass-Steel-Critchlow-Fligner (DSCF) Test (Non-Parametric)

Description

Usage

Value

Arguments

Details

References

Examples