Here are the slides given during the Montreal R User Group workshop on April 30, 2012. RR-MtlRUsers.beamer
The following post shows how to manually convert a Sweave LaTeX document into a knitr R Markdown document. The post (1) reviews many of the required changes; (2) provides an example of a document converted to R Markdown format based on an analysis of Winter Olympic Medal data up to and including 2006; and (3) discusses the pros...
There’s been a lot of justifiable excitement in the R community about Yihui Xie’s great work, and most recently the incorporation of his knitr package into the RStudio software. Knitr is seen, justifiably, as a worthy successor to SWeave for … Continue reading →
Graduate students in statistics often take (or at least have the opportunity to take) a statistical computing course, but often such courses are focused on methods (like numerical linear algebra, the EM algorithm, and MCMC) and not on actual coding. For example, here’s a course in “advanced statistical computing” that I taught at Johns Hopkins 
There’s an updated release of RStudio v0.96 available that includes some small enhancements and bugfixes, including: Comment/uncomment for Sweave and LaTeX Additional in-product documentation for R Markdown Offline support for MathJax previews More flexible handling of MathJax inline equations The release notes include a full list all of the changes. We’ve also published some additional documentation on 
This post examines the features of R Markdown using knitr in Rstudio 0.96. This combination of tools provides an exciting improvement in usability for reproducible analysis. Specifically, this post (1) discusses getting started with R Markdown and knitr in Rstudio 0.96; (2) provides a basic example of producing console output and plots...