<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/learn-your-way-around-the-r-ecosystem/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2018/01/a-field-guide-to-the-r-ecosystem.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>
<p>One of the most powerful things about R is the ecosystem that has emerged around it. In addition to the <a rel="nofollow" href="http://blog.revolutionanalytics.com/2017/10/updated-history-of-r.html" target="_blank">R language itself</a> and the <a rel="nofollow" href="http://blog.revolutionanalytics.com/2017/01/cran-10000.html" target="_blank">many packages that extend it</a>, you have a network of users, developers, governance bodies, software vendors and service providers that provide resources in technical information and support, companion applications, training and implementation services, and more.</p>
<p><iframe allowfullscreen="" src="http://www.slideshare.net/slideshow/embed_code/key/N1PUbvIZouetgG?startSlide=7" width="450" height="420"> </iframe></p>
<p>I gave the talk above at the <a rel="nofollow" href="https://user2017.brussels/" target="_blank">useR! conference last year</a>, but never posted the slides before because they weren't particularly useful without the associated talk track. Mark Sellors from Mango Solutions has thankfully filled the gap with his new <a rel="nofollow" href="http://fg2re.sellorm.com/" target="_blank">Field Guide to the R Ecosystem</a>. This concise and useful document (which Mark <a rel="nofollow" href="http://blog.sellorm.com/2018/01/01/field-guide-to-the-r-ecosystem/" target="_blank">introduces here</a>) provides an overview of R and its packages and APIs, developer tools, data connections, commercial vendors of R, and the user and developer community. The document assumes no background knowledge of R, and is useful for anyone thinking of getting into R, or for existing R users to learn about the resources available in the wider ecosystem. You can read <em>Field Guide to the R Ecosystem</em> at the link below.</p>
<p>Mark Sellors: <a rel="nofollow" href="http://fg2re.sellorm.com/" target="_blank">Field Guide to the R Ecosystem</a></p>
<p> </p>
</div>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2018/01/a-field-guide-to-the-r-ecosystem.html"> Revolutions</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/HOlGM_QDGAE" height="1"></a></div>