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‎geomnet.html

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<h5 class="list-group-item-heading">geomnet</h5>
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<p class="list-group-item-text">Network visualizations in ggplot2</p>
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</a>
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<a href="ggExtra.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggExtra</h5>
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<p class="list-group-item-text">Marginal density plots or histograms</p>
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</a>
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‎ggExtra.Rmd

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---
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title: "ggplot2 extensions: ggExtra"
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---
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### ggExtra
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[https://github.com/daattali/ggExtra](https://github.com/daattali/ggExtra)
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[Live demo](http://daattali.com/shiny/ggExtra-ggMarginal-demo/)
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ggExtra lets you add marginal density plots or histograms to ggplot2 scatterplots
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```{r message=FALSE,warning=FALSE}
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library("ggplot2")
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library("ggExtra")
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# Basic usage
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set.seed(30)
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df <- data.frame(x = rnorm(500, 50, 10), y = runif(500, 0, 50))
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p <- ggplot(df, aes(x, y)) + geom_point()
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```
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```{r message=FALSE,warning=FALSE}
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ggMarginal(p)
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ggMarginal(p, colour = "red")
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ggMarginal(p, type = "histogram")
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```

‎ggExtra.html

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<!DOCTYPE html>
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<title>ggplot2 extensions: ggExtra</title>
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<style type="text/css">code{white-space: pre;}</style>
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<style type = "text/css">
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max-width: 940px;
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margin-left: auto;
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margin-right: auto;
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code {
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color: inherit;
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background-color: rgba(0, 0, 0, 0.04);
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}
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img {
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height: auto;
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}
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</style>
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<div class="container-fluid main-container">
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<!--html_preserve-->
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<div class="header">
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<nav class="navbar">
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<h3 class="navbar-left"><strong>ggplot2</strong> extensions</h3>
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<ul class="nav nav-pills navbar-right">
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<li role="presentation" id="nav-home"><a href="index.html">Home</a></li>
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<li role="presentation" id="nav-showcase"><a href="ggiraph.html">Extensions</a></li>
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<li role="presentation" id="nav-github"><a href="https://github.com/ggplot2-exts/ggplot2-exts.github.io">GitHub</a></li>
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</ul>
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</nav>
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</div>
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<div class="showcase-header">
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<div id = "showcase-intro">
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ggplot2 now has an official extension mechanism. This means that others can now easily create their own stats, geoms and positions, and provide them in other packages. This should allow the ggplot2 community to flourish, even as less development work happens in ggplot2 itself. This page showcases these extensions.
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<a href="ggiraph.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggiraph</h5>
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<p class="list-group-item-text">Make ggplot interactive</p>
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</a>
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<a href="ggstance.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggstance</h5>
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<p class="list-group-item-text">Horizontal versions of ggplot2 geoms</p>
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<a href="ggalt.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggalt</h5>
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<p class="list-group-item-text">Extra coordinate systems, geoms & stats</p>
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<a href="ggforce.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggforce</h5>
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<p class="list-group-item-text">Accelarating ggplot2</p>
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<a href="ggrepel.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggrepel</h5>
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<p class="list-group-item-text">Repel overlapping text labels</p>
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<a href="ggraph.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggraph</h5>
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<p class="list-group-item-text">Plot graph-like data structures</p>
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<a href="ggpmisc.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggpmisc</h5>
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<p class="list-group-item-text">Miscellaneous extensions to ggplot2</p>
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</a>
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<a href="geomnet.html" class="list-group-item">
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<h5 class="list-group-item-heading">geomnet</h5>
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<p class="list-group-item-text">Network visualizations in ggplot2</p>
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</a>
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<a href="ggExtra.html" class="list-group-item">
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<h5 class="list-group-item-heading">ggExtra</h5>
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<p class="list-group-item-text">Marginal density plots or histograms</p>
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</a>
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</div> <!-- col-sm-4 -->
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<div id="ggextra" class="col-sm-8">
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<h3>ggExtra</h3>
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<p><a href="https://github.com/daattali/ggExtra" class="uri">https://github.com/daattali/ggExtra</a></p>
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<p><a href="http://daattali.com/shiny/ggExtra-ggMarginal-demo/">Live demo</a></p>
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<p>ggExtra lets you add marginal density plots or histograms to ggplot2 scatterplots</p>
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<pre class="r"><code>library(&quot;ggplot2&quot;)
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library(&quot;ggExtra&quot;)
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# Basic usage
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set.seed(30)
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df &lt;- data.frame(x = rnorm(500, 50, 10), y = runif(500, 0, 50))
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p &lt;- ggplot(df, aes(x, y)) + geom_point()</code></pre>
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<pre class="r"><code>ggMarginal(p)</code></pre>
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<p><img src="ggExtra_files/figure-html/unnamed-chunk-2-1.png" title="" alt="" width="576" /></p>
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<pre class="r"><code>ggMarginal(p, colour = &quot;red&quot;)</code></pre>
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<p><img src="ggExtra_files/figure-html/unnamed-chunk-2-2.png" title="" alt="" width="576" /></p>
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<pre class="r"><code>ggMarginal(p, type = &quot;histogram&quot;)</code></pre>
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<p><img src="ggExtra_files/figure-html/unnamed-chunk-2-3.png" title="" alt="" width="576" /></p>
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</div> <!-- col-sm-8 -->
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</div>
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</div> <!-- page-body -->
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<div>&nbsp;</div>
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<div class="text-muted">
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Design inspired by <a href="http://www.htmlwidgets.org/index.html" target="_blank">Ramnath Vaidyanathan, Kenton Russell, and RStudio, Inc</a>.
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</div>
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<div class="text-muted">
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Maintained by <a href="http://www.danielemaasit.com" target="_blank">Daniel Emaasit</a>.
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Copyright &copy; 2016 The R Community.
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‎ggalt.html

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<p class="list-group-item-text">Network visualizations in ggplot2</p>
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‎ggpmisc.html

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‎ggstance.html

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