balance.chisq.datatable

For one factor: chi-square goodness-of-fit vs equal proportions.
For two factors: chi-square test of independence.
For three or more: log-linear independence (Poisson, main effects only) via deviance and df.

Multifactor nonparametric analysis of variance based on ranks.
Builds on the Kruskal-Wallis H test and its 2x2 Scheirer-Ray-Hare
extension to handle any factorial designs. Provides effect sizes,
Dunn-Bonferroni pairwise-comparison matrices, and simple-effects
analyses. Tailored for psychology and the social sciences, with
beginner-friendly R syntax and outputs that can be dropped into
journal reports. Includes helpers to export tab-separated results and
compact tables of descriptive statistics (to APA-style reports).

Tomasz Rak

factorH

Multifactor Nonparametric Rank-Based ANOVA with Post Hoc Tests

Szymon Wrzesniowski

balance.chisq.datatable function

<dl><dt>formula</dt>
<dd>A model formula <code>y ~ A + B (+ C ...)</code>; the response is ignored.</dd>
<dt>data</dt>
<dd>A data frame with the variables.</dd>
<dt>force_factors</dt>
<dd>Logical; if TRUE, coerces RHS predictors to factors.</dd>
<dt>correct</dt>
<dd>Logical; continuity correction for 2x2 tables in <code>chisq.test</code> (default FALSE).</dd></dl>

Arguments

Count-balance chi-square diagnostics across factors — balance.chisq.datatable

<dl>

<dt>formula</dt>
<dd>A model formula <code>y ~ A + B (+ C ...)</code>; the response is ignored.</dd>


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


<dt>force_factors</dt>
<dd>Logical; if TRUE, coerces RHS predictors to factors.</dd>


<dt>correct</dt>
<dd>Logical; continuity correction for 2x2 tables in <code>chisq.test</code> (default FALSE).</dd>

</dl>

balance.chisq.datatable: Count-balance chi-square diagnostics across factors

Description

Usage

Value

Arguments

Details

See Also

Examples