Tools for using R/RStudio as a one-stop shop for research and presentation have been coming out quickly. I think this one has a good shot of being included in future releases of RStudio: The other day I ran across a new R package called slidify by Ramn...
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 →
I just noticed that Markus Gesmann has a nice post on using RStudio, knitr, Pandoc, and Slidy to create slideshows. After my recent attempt to use deck.rb to turn a Markdown/knitr file into a deck.js presentation I caved in and also decided to go with ...
Tonight I will give a talk at the Cambridge R user group about googleVis. Following my good experience with knitr and RStudio to create interactive reports, I thought that I should try to create the slides in the same way as well. Christopher Gandrud's...
The end is near! At least the semester is coming to an end, so students have crazy expectations like getting marks back for assignments, and administrators want to see exam scripts. Sigh! What has been happening meanwhile in Quantum Forest? … Continue reading →
Hello everybody, I am finally back with a new episode! In this episode: Hardware issues, major update to RStudio, new forums, and discussion on managing your workflow for projects. I discuss useful functions for executing R scripts and saving/loading R objects for future sessions, and summarize different solutions for organizing R code based on task
We’ve just a made a change to the syntax for embedding MathJax equations in R Markdown documents. The change was made to eliminate some parsing ambiguities and to support future extensibility to additional formats. The revised syntax adds a “latex” qualifier to the $ or $$ equation begin delimiter. It looks like this: This change 
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 been lots of excitement about the new R Markdown feature introduced as part of knitr 0.5 and RStudio 0.96. People see R Markdown as both a simpler way to do reproducible research and as a great way to publish to the web from R. Jeromy Anglim has a nice write up on getting started with 
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 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
