Named rjson, appropriately. It’s quite basic just now, but contains methods for interconversion between R objects and JSON. Something like this:
> library(rjson)
> data <- list(a=1,b=2,c=3)
> json <- toJSON(data)
> json
"{\"a\":1,\"b\":2,\"c\":3}"
> cat(json, file="data.json")
Use cases? I wonder if RApache could be used to build an API that serves R data in JSON format?
Posted in 
The ant package has been released to CRAN yesterday. As discussed in previous posts in this blog (here and here), the ant R package provides an R-aware version of the ant build tool from the apache project. The package contains an R script that c...
Additional functionality in R is added through packages, which consist of libraries of bundled functions, datasets, examples and help files that can be downloaded from CRAN (the Comprehensive R Archive Network). The function install.packages() or the w...
Plotting and charting libraries for Ruby (on Rails) abound. However, few are sophisticated enough for scientists and many are not actively maintained. Plotting in R, on the other hand, is about as sophisticated as it comes.
Can we bridge Ruby and R? Yes we can, thanks to Alex Gutteridge’s RSRuby. The next 
It’s been ages since I visited the R website, so I don’t know how long they’ve had a wiki. It’s built using DokuWiki, one of my personal favourites.
This is a great leap forward for R documentation, which is somewhat notorious for being (a) difficult to find and (b) difficult to understand when you find 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
