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(This article was first published on <strong><a href="https://blog.eoda.de/2017/01/28/on-occasion-of-the-10000th-r-package-the-eoda-top-10/"> eoda english R news</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>R just passed another milestone: 10,000 packages on CRAN. From A3 to zyp, from ABC analysis to zero-inflated models – 10,000 R packages mean great variety and methods for almost every use case. On occasion of this event <a target="_blank" rel="nofollow" href="http://www.eoda.de/en">we</a> collected the top 10 R packages in collaboration with the ones who should know best: our data scientists.</p>
<figure class="wp-caption"><img sizes="(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 984px) 61vw, (max-width: 1362px) 45vw, 600px" alt="The eoda Top 10" class="wp-image-3985" src="https://i1.wp.com/blog.eoda.de/wp-content/uploads/2017/01/Jubil%C3%A4ums-Beitrag-1024x635.png?resize=456%2C283&ssl=1" data-recalc-dims="1">
<figcaption class="wp-caption-text">The eoda Top 10 R-Packages</figcaption>
</figure>
<p><strong>Our Top 10 R packages</strong></p>
<p> </p>
<ul>
<li><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/Hmisc/index.html"><strong><u>Hmisc</u></strong></a>: This was one of the first R packages to be used at eoda on a regular basis. Today we barely use Hmisc anymore but nonetheless it had to be part of our top 10 simply for nostalgic reasons.</li>
</ul>
<ul>
<li><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/data.table/index.html"><strong><u>data.table</u></strong></a><strong>: </strong>R as an in-memory database with data.table? Who said R was slow?</li>
</ul>
<ul>
<li><a target="_blank" rel="nofollow" href="http://tracer-package.com/"><strong><u>TraceR</u></strong></a>: Excellent profiling package. Will find every bottleneck.</li>
</ul>
<ul>
<li><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/dplyr/index.html"><strong><u>dplyr</u></strong></a>: Not only fast when it comes to evaluation but also easy to master. Intuitive data management with R has a name – dplyR.</li>
</ul>
<ul>
<li><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/ggplot2/index.html"><strong><u>ggplot2</u></strong></a>: A guarantee for easily creating descriptive graphics.</li>
</ul>
<ul>
<li><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/magrittr/index.html"><strong><u>magrittr</u></strong></a>: %>%. The pipe operater %>% turns complicated nested function calls into readable chains.</li>
<li><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/shiny/index.html"><strong><u>shiny</u></strong></a>: Interactive web application where programming in HTML and JavaScript can be done with little effort.</li>
</ul>
<ul>
<li><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/tidyr/index.html"><strong><u>tidyr</u></strong></a>: Very good functionality for restructuring data. Particularly remarkable: the functions gather and spread for converting data from long to wide format or from wide to long format.</li>
</ul>
<ul>
<li><strong><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/caret/index.html"><u>caret</u></a></strong>: This package unifies the data mining algorithms in one interface.</li>
</ul>
<ul>
<li><a target="_blank" rel="nofollow" href="https://cran.r-project.org/web/packages/Rcpp/index.html"><strong><u>Rcpp</u></strong></a>: A package that we don’t use extensively ourselves but is nevertheless indispensable in our top 10 list because it is an important component of many other great R packages.</li>
</ul>
<p>We are already curious to see which R packages will become indispensable tools in the future and make it to the top 10 list on occasion of the 20,000th R package.</p>
<p>But for now, only that much: Congratulations to the world-wide R community and the R core team.</p>
<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://blog.eoda.de/2017/01/28/on-occasion-of-the-10000th-r-package-the-eoda-top-10/"> eoda english R news</a></strong>.</div>
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