2 min read

R module for ConTeXt

I generally write my documents in Sweave format. This approach allows me to embed the code for analyses directly in the report derived from the analyses, so that all results and figures are generated dynamically with the text of the report. This provides both great documentation of the analyses and the convenience of a single file to keep track of and work with.

Now there is a new contender for integrating analysis code and documentation with the release of an R module for ConTeXt. I prefer the clean implementation and modern features of ConTeXt to the excellent, but aging, LaTeX macro package that Sweave relies on. So, using ConTeXt for my documents is a great improvement.

Here's a simple example of using this new module. I create two randomly distributed, normal variables, test for a correlation between them, and plot their distribution.


Describe the motivation of the analyses first.

Now create some variables.

x <- rnorm(1000, 0, 1)
y <- rnorm(1000, 0, 1)

Are they correlated?

model <- lm(y ~ x, data = test)

Now we can include a figure.

plot(x, y)

\placefigure{Here it is}{\externalfigure[testFigure]}


Processing this code produces a pdf file with all of the results produced from R, including the figure.

I had some minor difficulties getting this to work on my OS X machine, through no fault of the r module itself. There are two problems. The first is that, by default, write18 is not enabled, so ConTeXt can't access R directly. Fix this by editing /usr/local/teTeX/texmf.cnf so that “shell_escape = t”. The next is that the R module calls `texmfstart` which isn't directly accessible from a stock installation of TeX. The steps required are described in the “Configuration of texmfstart” section of the ConTeXt wiki. I modified this slightly by placing the script in ~/bin so that I didn't interfere with the installed teTeX tree. Now everything should work.