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(This article was first published on <strong><a href="http://statisticalestimation.blogspot.com/2016/12/learning-how-to-extend-rstudio-by-reading-books.html"> Blog of Statistical Estimation</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<div>This post is part of a series of “learning everything with R: An R book list”. You can clink on this <a target="_blank" rel="nofollow" href="http://statisticalestimation.blogspot.com.au/2015/05/best-books-for-learning-statistical.html">link </a>to see other relevant posts. </div>
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<p><a target="_blank" rel="nofollow" href="https://www.rstudio.com/">RStudio</a> probably is the most popular interface to use R. But it definitely does not just serve as a code editor (thanks to the RStudio team!). Its ability has been extended so much beyond what we can think of. In this post, we would like to tell you how we can extend RStudio to do much more than just R programming and code editing. Best of it, there have been books coming out to provide you with step-by-step procedures. Let’s see what they are!</p>
<h3>Writing publications with RStudio</h3>
<p>RStudio has implemented markdown (so-called <a target="_blank" rel="nofollow" href="http://rmarkdown.rstudio.com/">R markdown</a> when used in RStudio) in their interface to weave together narrative text and code. This makes RStudio capable of producing elegantly formatted static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, web sites, and more. Yihui Xie, the main R markdown relevant package developer, has written several books as follows about how to use R markdown to write your own publication with RStudio. </p>
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