Many of you have heard about RStudio’s latest release and it’s new R Markdown feature. Today, I’d like to announce the markdown package for R, a tool for converting Markdown documents to HTML, created in collaboration with RStudio. It...
Many of you have heard about RStudio’s latest release and it’s new R Markdown feature. Today, I’d like to announce the markdown package for R, a tool for converting Markdown documents to HTML, created in collaboration with RStudio. It...
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 →
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 