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(This article was first published on <strong><a href="https://rud.is/b/2017/02/15/ggalt-0-4-0-now-on-cran/"> R – rud.is</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>I’m uncontainably excited to report that the ggplot2 extension package <a target="_blank" rel="nofollow" href="https://github.com/hrbrmstr/ggalt"><code>ggalt</code></a> is now <a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/ggalt/">on CRAN</a>. </p>
<p>The absolute best part of this package is the R community members who contributed suggestions and new geoms, stats, annotations and integration features. This release would not be possible without the PRs from:</p>
<ul>
<li>Ben Bolker</li>
<li>Ben Marwick</li>
<li>Jan Schulz</li>
<li>Carson Sievert</li>
</ul>
<p>and a host of folks who have made suggestions and have put up with broken GitHub builds along the way. Y’all are <em>awesome</em>.</p>
<p>Please see the vignette and graphics-annotated help pages for info on everything that’s available. Some highlights include:</p>
<ul>
<li>multiple ways to render splines (so you can make those cool, smoothed D3-esque line charts <img alt="🙂" class="wp-smiley" src="https://s.w.org/images/core/emoji/2/72x72/1f642.png"></li>
<li><code>geom_cartogram()</code> which replicates the <em>old</em> functionality of <code>geom_map()</code> so your old mapping code doesn’t break anymore</li>
<li>a re-re-mended <code>coord_proj()</code> (but, read on about why you should be re-thinking of how you do maps in <code>ggplot2</code>)</li>
<li>lollipop charts (<code>geom_lollipop()</code>)</li>
<li>dumbbell charts (<code>geom_dumbbell()</code>)</li>
<li>step-ribbon charts</li>
<li>the ability to easily encircle points (beyond those <em>boring</em> ellipses)</li>
<li>byte formatters (i.e. turn <code>1024</code> to <code>1 Kb</code>, etc)</li>
<li>better integration with <code>plotly</code></li>
</ul>
<p>If you do any mapping in <code>ggplot2</code>, <em>please</em> follow the machinations of <a target="_blank" rel="nofollow" href="https://github.com/edzer/sfr/issues/88"><code>geom_sf()</code></a> and the <code>sf</code> package. Ed and the rest of the R spatial community have done 100% <em>outstanding</em> work here and it is going to change how you think and work spatially in R forever (in an awesome way). I hope to retire <code>coord_proj()</code> and <code>geom_cartogram()</code> some day soon thanks to all their hard work.</p>
<p><em>Your</em> contributions, feedback and suggestions are welcome and encouraged. The next steps for me w/r/t <code>ggalt</code> are ensuring 100% <code>plotly</code> coverage since it’s the best way to make your <code>ggplot2</code> plots interactive. There are a few more additions that didn’t make it into this release that I’ll also be integrating.</p>
<p><em>Please</em> make sure to say “thank you” to the above contributors if you see them in person on on the internets. They’ve done great work and are exemplary examples of how awesome and talented the R community is.</p>
<p><a target="_blank" rel="nofollow" href="https://gist.github.com/hrbrmstr/453db36d1d3fc01c0a72bcc6f6312845"><img alt="" class="wp-image-5053" src="https://i1.wp.com/rud.is/b/wp-content/uploads/2017/02/RStudio-1.png?resize=780%2C332&ssl=1" data-recalc-dims="1"></a></p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://rud.is/b/2017/02/15/ggalt-0-4-0-now-on-cran/"> R – rud.is</a></strong>.</div>
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