mimicry

A dataset used to demonstrate rank-based (nonparametric) multifactor ANOVA.

datasets

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

mimicry function

A data frame with 533 rows and 7 variables:<dl>
<dt>condition</dt>
<dd>factor; 5 levels</dd><dt>gender</dt>
<dd>factor; 2 levels</dd><dt>age</dt>
<dd>numeric</dd><dt>age_cat</dt>
<dd>factor; 2 levels</dd><dt>age_cat2</dt>
<dd>factor; 3 levels</dd><dt>field</dt>
<dd>factor; 2 levels</dd><dt>liking</dt>
<dd>numeric; dependent variable</dd>
</dl>

Format

Mimicry dataset — mimicry

A data frame with 533 rows and 7 variables:<dl>
<dt>condition</dt>
<dd>factor; 5 levels</dd>

<dt>gender</dt>
<dd>factor; 2 levels</dd>

<dt>age</dt>
<dd>numeric</dd>

<dt>age_cat</dt>
<dd>factor; 2 levels</dd>

<dt>age_cat2</dt>
<dd>factor; 3 levels</dd>

<dt>field</dt>
<dd>factor; 2 levels</dd>

<dt>liking</dt>
<dd>numeric; dependent variable</dd>


</dl>

mimicry: Mimicry dataset

Description

Usage

Arguments

Format

Details

References