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ggstatsplot_pkgdown.yml
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129 lines (117 loc) · 4.06 KB
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url: https://www.indrapatil.com/ggstatsplot/
authors:
Indrajeet Patil:
href: https://www.indrapatil.com/
# development:
# mode: auto
template:
bootstrap: 5
light-switch: true
includes:
in_header: |
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-3BQ49J7KYH"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-3BQ49J7KYH');
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "SoftwareSourceCode",
"name": "ggstatsplot",
"description": "Extension of ggplot2 that creates graphics with details from statistical tests included in the plots themselves. Supports parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses.",
"url": "https://www.indrapatil.com/ggstatsplot/",
"codeRepository": "https://github.com/IndrajeetPatil/ggstatsplot",
"programmingLanguage": {
"@type": "ComputerLanguage",
"name": "R"
},
"license": "https://opensource.org/licenses/MIT",
"version": "1.0.0",
"author": {
"@type": "Person",
"name": "Indrajeet Patil",
"url": "https://www.indrapatil.com/",
"sameAs": "https://orcid.org/0000-0003-1995-6531"
},
"keywords": ["R", "ggplot2", "statistics", "data visualization", "Bayesian", "frequentist", "nonparametric", "robust statistics", "ANOVA", "correlation"]
}
</script>
<meta name="citation_title" content="ggstatsplot: ggplot2 Based Plots with Statistical Details" />
<meta name="citation_author" content="Indrajeet Patil" />
<meta name="citation_year" content="2021" />
<meta name="citation_doi" content="10.21105/joss.03236" />
<meta name="citation_journal_title" content="Journal of Open Source Software" />
<link rel="alternate" type="text/plain" href="/ggstatsplot/llms.txt" title="LLM-friendly documentation summary" />
bslib:
base_font: { google: "Roboto" }
heading_font: { google: "Roboto" }
code_font: { google: "JetBrains Mono" }
opengraph:
image:
src: man/figures/card.png
twitter:
creator: "@patilindrajeets"
card: summary_large_image
reference:
- title: Hypothesis about group differences
contents:
- ggbetweenstats
- ggwithinstats
- gghistostats
- ggdotplotstats
- title: Hypothesis about correlation
contents:
- ggscatterstats
- ggcorrmat
- title: Hypothesis about composition of categorical variables
contents:
- ggpiestats
- ggbarstats
- title: Hypothesis about regression coefficients
contents:
- ggcoefstats
- title: Grouped variants of primary functions
desc: Convenience functions to repeat analysis across a single grouping
contents:
- starts_with("grouped_")
- title: Helper functions
desc: Statistics and graphics-related helpers
contents:
- starts_with("extract_")
- starts_with("theme_")
- starts_with("combine")
- title: Data
desc: Datasets included in the package.
contents:
- movies_long
- Titanic_full
- iris_long
- bugs_long
articles:
- title: Primary functions
navbar: Primary functions
desc: Details about primary functions and their `grouped_` variants
contents:
- web_only/ggbetweenstats
- web_only/ggwithinstats
- web_only/gghistostats
- web_only/ggdotplotstats
- web_only/ggcorrmat
- web_only/ggscatterstats
- web_only/ggbarstats
- web_only/ggpiestats
- web_only/ggcoefstats
- title: Miscellaneous
navbar: Miscellaneous
desc: Salad of various things
contents:
- additional
- web_only/pairwise
- web_only/faq
- web_only/purrr_examples
- web_only/principles
- web_only/interpretation