The materials used in the tutorial are available here.
This is an intermediate/advanced level tutorial on dynamic documents with R Markdown. It starts with the basic idea of literate programming as well as its role in reproducible research. Among all document formats that knitr supports, we will only focus on R Markdown (.Rmd). We will give an overview of existing output formats in rmarkdown, and explain how to customize them. We will show how to build new output format functions by extending exising formats. The packages tufte and bookdown will be used as examples. We will mention other applications related to R Markdown such as HTML widgets [Vaidyanathan et al., 2015], Shiny documents [Chang et al., 2015], and how to run code from other languages (C, C++, and so on).
Markdown is a fairly simple language, but it has a lot potential when combined with the power of Pandoc and R. Basically we want attendees to be able to create sophisticated applications based on this simple language. The goals of this tutorial include:
First hour: An intermediate introduction to R Markdown.
Second hour: Build new output formats based on existing formats.
Third hour: Other applications.
Yihui Xie (http://yihui.name) is currently a software engineer at RStudio (http://www.rstudio.com). He earned his PhD from the Department of Statistics, Iowa State University. As an active R user, he has authored several R packages, including animation, knitr, formatR, fun, mime, highr, servr, and Rd2roxygen, among which the animation package won the 2009 John M. Chambers Statistical Software Award (ASA), and the knitr package was awarded the “Honorable Mention” prize in the “Applications of R in Business Contest 2012” (Revolution Analytics). In 2006, he founded the “Capital of Statistics” (http://cos.name), which has grown into a large online community on statistics in China. He initiated the first Chinese R conference in 2008, and has been organizing R conferences in China since then. In recent years, R conferences in China can attract more than 3,000 attendees. During his PhD training at Iowa State University, he won the Vince Sposito Statistical Computing Award (2011) and the Snedecor Award (2012) in the Department of Statistics.
He gave a tutorial “Dynamic Documents with R and knitr” at useR! 2014 (UCLA, http://user2014.stat.ucla.edu), and about 50 people attended the tutorial. He is the main author of the R packages knitr, tufte, and bookdown, and a co-author of rmarkdown. The tutorial will cover all these packages. He has published a book “Dynamic Documents with R and knitr”, and has given talks about knitr and R Markdown many times (http://yihui.name/en/vitae/).