pisa_2022

Results of pairwise t-tests (with Bonferroni correction) performed on a subset from the PISA 2022 data.

dataset

Create network-style visualizations of pairwise relationships
using custom edge glyphs built on top of 'ggplot2'. The package
supports both statistical and non-statistical data and allows users to
represent directed relationships. This enables clear,
publication-ready graphics for exploring and communicating relational
structures in a wide range of domains. The method was first used in
Abu-Akel et al. (2021) <doi:10.1371/journal.pone.0245100>. Code is
released under the MIT License; included datasets are licensed under
the Creative Commons Attribution 4.0 International (CC BY 4.0).

Valentin Velev

gglyph

Network-Style Visualization of Directed Pairwise Relationships

Andreas Spitz

pisa_2022 function

A data frame with 492 rows and 3 variables:<dl>
<dt><code>from</code></dt>
<dd>Category A of educational level (ISCED) attained by the parents of the respondent (character).</dd><dt><code>to</code></dt>
<dd>Category B of educational level (ISCED) attained by the parents of the respondent (character).</dd><dt><code>group</code></dt>
<dd>Country of the respondent (character).</dd><dt><code>sig</code></dt>
<dd>p-value of the pairwise t-test (numeric).</dd>
</dl>

Format

PISA 2022 data — pisa_2022

A data frame with 492 rows and 3 variables:<dl>
<dt><code>from</code></dt>
<dd>Category A of educational level (ISCED) attained by the parents of the respondent (character).</dd>

<dt><code>to</code></dt>
<dd>Category B of educational level (ISCED) attained by the parents of the respondent (character).</dd>

<dt><code>group</code></dt>
<dd>Country of the respondent (character).</dd>

<dt><code>sig</code></dt>
<dd>p-value of the pairwise t-test (numeric).</dd>


</dl>

pisa_2022: PISA 2022 data

Description

Usage

Arguments

Format

References

Examples