<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/september-package-picks/"></div></div><div><a data-url="https://www.r-bloggers.com/september-package-picks/" data-counturl="https://www.r-bloggers.com/september-package-picks/" data-count="horizontal" data-text="September Package Picks" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="https://www.rstudio.com/2016/10/26/september-package-picks/"> RStudio</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>by Joseph Rickert</p>
<p>September was a bit of a slow month for new R packages. Only 96 new packages showed up un CRAN. Nevertheless, I have picked out 23 for special mention which I have listed in 5 categories. I used the same selection criteria as I <a target="_blank" rel="nofollow" href="https://www.rstudio.com/2016/10/21/august-package-picks/">described in the post for August picks</a>.</p>
<p>Data and Interfaces</p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/darksky/"><span>darksky</span></a><span> V1.0.0: Provides an interface to the </span><a target="_blank" rel="nofollow" href="https://darksky.net/dev/docs"><span>Dark Sky API</span></a><span> which allows you to look up weather anywhere on the globe. </span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/etseed/"><span>etseed</span></a><span> V0.1.0: Provides a client to interface to the </span><a target="_blank" rel="nofollow" href="https://github.com/coreos/etcd"><span>etcd key value store</span></a><span>, a database written in Go.</span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/LendingClub/"><span>LendingClub</span></a><span> V0.1.2: Lets investors manage their </span><a target="_blank" rel="nofollow" href="https://www.lendingclub.com/"><span>LendingClub</span></a><span> investments from R.</span></li>
<li><span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/sparklyr/">sparklyr</a> V0.4: Allows R users to connect, provision and interface to Apache Spark. Detailed examples using MLlib and H2O are available on the <a target="_blank" rel="nofollow" href="http://spark.rstudio.com/">RStudio site</a>.</span></li>
<li><span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/trelloR/">trelloR</a>: V0.1.0: Provides access to the <a target="_blank" rel="nofollow" href="https://developers.trello.com/">Trello API</a>. The <a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/trelloR/vignettes/R_API_for_Trello.html">vignette</a> explains how to retrieve data from public and private Trello boards.</span></li>
<li><span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/XRPython/">XRPython</a> V0.7: A Python interface structured according to the general form of the package XR described in John Chamber’s book <a target="_blank" rel="nofollow" href="https://www.crcpress.com/Extending-R/Chambers/p/book/9781498775717">Extending R</a>.</span></li>
</ul>
<p>Machine Learning</p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/ensembleR/"><span>ensembleR</span></a><span> V0.1.0: Facilitates constructing ensemble models from machine learning models available in the caret package. There is a </span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/ensembleR/vignettes/Introduction_to_ensembleR.html"><span>vignette</span></a><span> to get started.</span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/exprso/"><span>exprso</span></a><span> V0.1.7: Provides a framework for supervised machine learning customized for biologists. There are several vignettes including a </span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/exprso/vignettes/cheatsheet.html"><span>cheatsheet.</span></a></li>
</ul>
<p><img sizes="(max-width: 800px) 100vw, 800px" alt="cheatsheet" class="wp-image-14093" src="https://i1.wp.com/www.rstudio.com/wp-content/uploads/2016/10/cheatsheet-1024x885.jpeg?resize=456%2C394" data-recalc-dims="1"></p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/lowmemtkmeans/lowmemtkmeans.pdf"><span>lowmemtkmeans</span></a><span> V0.1.0: Implements trimmed k-means clustering with low memory use.</span></li>
<li><span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/textmining/">Textmining</a> V0.0.2: Provides functions for text and topic mining. Full functionality requires installing <a target="_blank" rel="nofollow" href="http://www.cis.uni-muenchen.de/~schmid/tools/TreeTagger/">TreeTagger</a>.</span></li>
</ul>
<p>Plots and Visualizations</p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/plotluck/"><span>plotluck</span></a><span> V1.0.1: Is an </span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/plotluck/vignettes/plotluck.html"><span>intelligent tool</span></a><span> built on top of ggplot2 that automatically generates plots from dataframes based on users providing variables to plot.</span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/plotwidgets/">plotwidgets</a> V0.4: Provides functions to produce small, self contained plots for use in larger plots.</li>
</ul>
<div>
<div>
<pre><code>library(plotwidgets)
plot.new()
par(usr=c(-1,1,-1,1))
hues &lt;- seq(0, 360, by=30)
pos &lt;- a2xy(hues, r=0.75)
for(i in 1:length(hues)) {
  cols &lt;- modhueCol(pal, by=hues[i])
  wgPlanets(x=pos$x[i], y=pos$y[i], w=0.5, h=0.5, v=v, col=cols)
}
pos &lt;- a2xy(hues[-1], r=0.4)
text(pos$x, pos$y, hues[-1])
</code></pre>
<div></div>
</div>
</div>
<div></div>
<p><img sizes="(max-width: 453px) 100vw, 453px" alt="plotwidgets" class="wp-image-14094" src="https://i2.wp.com/www.rstudio.com/wp-content/uploads/2016/10/plotwidgets.png?resize=453%2C495" data-recalc-dims="1"></p>
<p>Statistics</p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/Barycenter/"><span>Barycenter</span></a><span> V1.0.0: Provides algorithms to compute the </span><a target="_blank" rel="nofollow" href="http://jmlr.org/proceedings/papers/v32/cuturi14.pdf"><span>Wasserstein barycenter</span></a><span>, the mean of a set of empirical probability measures.</span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/musica/"><span>musica</span></a><span> V0.1.3: Provides functions for working with multivariate time series and custom time scales. There is a </span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/musica/vignettes/using_musica.html"><span>vignette</span></a><span> to help you get started.</span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/nhstplot/"><span>nhstplot</span></a><span> V1.0.0: Provides functions to graphically illustrate the most common null hypothesis significance tests. The </span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/nhstplot/vignettes/nhstplot.html"><span>vignette</span></a><span> provides some examples, e.g.:</span></li>
</ul>
<div>
<div>
<pre><code>library(nhstplot)
plotftest(4,3,5)
</code></pre>
<div></div>
</div>
</div>
<div></div>
<p><a target="_blank" rel="nofollow" href="https://i1.wp.com/www.rstudio.com/wp-content/uploads/2016/10/F-test.png"><img sizes="(max-width: 724px) 100vw, 724px" alt="f-test" class="wp-image-14095" src="https://i1.wp.com/www.rstudio.com/wp-content/uploads/2016/10/F-test.png?resize=456%2C312" data-recalc-dims="1"></a></p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/nimble/"><span>nimble</span></a><span> V0.6-1: Allows R programmers to write statistical models in the BUGS language. NIMBLE is built in R but compiles in C++. There is extensive documentation at </span><a target="_blank" rel="nofollow" href="http://www.nimble.org/"><span>www.nimble.org</span></a></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/Rdice/"><span>Rdice</span></a><span> V1.0.1: Allows conducting sophisticated dice rolling and coin tossing experiments including experiments with </span><a target="_blank" rel="nofollow" href="https://en.wikipedia.org/wiki/Nontransitive_dice"><span>Efron like Nontransitive dice</span></a><span>. Have a look at the </span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/Rdice/vignettes/Rdice-vignette.pdf"><span>vignette</span></a><span>.</span></li>
<li><span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/splines2/">splines2</a> V0.1.0: Provides functions for constructing a variety of splines that are not available in the splines package including B-splines,M-splines, I-splines, C-splines, and the integral of B-splines. There is a <a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/splines2/vignettes/splines2-intro.html">vignette</a>.</span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/scanstatistics/scanstatistics.pdf"><span>scanstatistics</span></a><span> V0.1.0: Provides scan statistics functions to detect anomalous clusters in spatial or space-time data. The </span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/scanstatistics/vignettes/introduction.html"><span>vignette</span></a><span> describes the methodology and presents examples as well.</span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/thief/"><span>thief </span></a><span>V0.2: Implements methods for generating forecasts at different temporal frequencies using hierarchical time series.</span></li>
</ul>
<p>Misc</p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/GeneralTree/"><span>GeneralTree</span></a><span> V0.0.1: Implements a general tree data structure in R. There is a </span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/GeneralTree/vignettes/tutorial.html"><span>tutorial</span></a><span>.</span></li>
<li><span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/radiant/">radiant</a> V0.6.0: <a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/web/packages/radiant/vignettes/programming.html">Radiant</a> is a platform for business analytics based on R and Shiny.<br>
</span><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/RDocumentation/"><span>RDocumentation</span></a><span> V0.6: A wrapper for R’s documentation so that help documentation will appear as it does on </span><a target="_blank" rel="nofollow" href="http://www.rdocumentation.org/"><span>www.rdocumentation.org</span></a><span>.</span></li>
<li><a target="_blank" rel="nofollow" href="https://mran.revolutionanalytics.com/package/tableMatrix/"><span>tableMatrix</span></a><span> V0.8: Provides 2 classes extending data.table: tableList and tableMatrix.</span></li>
</ul>
<p>With this post, I am up to date with new CRAN packages. I hope to make my package picks a regular, monthly feature of this blog.</p>
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