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README.Rmd

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@@ -249,7 +249,7 @@ centrality measure point | `ggplot2::geom_point` | `centrality.point.args`
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centrality measure label | `ggrepel::geom_label_repel` | `centrality.label.args`
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outlier point | `ggplot2::stat_boxplot` | ❌
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outlier label | `ggrepel::geom_label_repel` | `outlier.label.args`
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pairwise comparisons | `ggsignif::geom_ggsignif` | `ggsignif.args`
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pairwise comparisons | `ggsignif::geom_signif` | `ggsignif.args`
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### Summary of tests
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centrality measure label | `ggrepel::geom_label_repel` | `centrality.label.args`
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outlier point | `ggplot2::stat_boxplot` | ❌
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outlier label | `ggrepel::geom_label_repel` | `outlier.label.args`
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pairwise comparisons | `ggsignif::geom_ggsignif` | `ggsignif.args`
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pairwise comparisons | `ggsignif::geom_signif` | `ggsignif.args`
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### Summary of tests
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theme(legend.position = "none")
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```
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# Summary of benefits
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# Summary of benefits of using `{ggstatsplot}`
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- No need to use scores of packages for statistical analysis
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(e.g., one to get stats, one to get effect sizes, another to get Bayes
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- No need to worry about updating figures and statistical details separately.
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# Syntax simplicity
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All functions produce publication-ready plots that require very few arguments if
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one finds the aesthetic and statistical defaults satisfying make the syntax much
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less cognitively demanding and easy to remember.
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<img src='man/figures/arguments.png' align="center"/>
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# Misconceptions about *ggstatsplot*
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# Misconceptions about `{ggstatsplot}`
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This package is...
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❌ the only game in town<br>
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✅ (GUI software alternatives: [JASP](https://jasp-stats.org/) and [jamovi](https://www.jamovi.org/)).
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# `ggstatsverse`: Components of `{ggstatsplot}`
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To make the maintenance and development of `{ggstatsplot}`, the package internally
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relies on the following packages that manage different aspects of statistical
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analyses:
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## `statsExpressions`
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The `statsExpressions` package forms the statistical backend that processes data
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and creates expressions containing results from statistical tests.
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For more exhaustive documentation for this package, see:
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<https://indrajeetpatil.github.io/statsExpressions/>
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## `pairwiseComparisons`
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The `pairwiseComparisons` package forms the pairwise comparison backend for
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creating results that are used to display *post hoc* multiple comparisons
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displayed in `ggbetweenstats` and `ggwithinstats` functions.
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For more exhaustive documentation for this package, see:
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<https://indrajeetpatil.github.io/pairwiseComparisons/>
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# Extensions
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In case you use the GUI software [`jamovi`](https://www.jamovi.org/), you can

README.md

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docs/articles/additional.html

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// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
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document.addEventListener('DOMContentLoaded', function(e) {
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var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
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if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6
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docs/articles/web_only/faq.html

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// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
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// be compatible with the behavior of Pandoc < 2.8).
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document.addEventListener('DOMContentLoaded', function(e) {
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var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
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h = hs[i];
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docs/articles/web_only/ggbetweenstats.html

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// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
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document.addEventListener('DOMContentLoaded', function(e) {
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var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
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a = h.attributes;
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docs/articles/web_only/ggwithinstats.html

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