RSRuby is a bridge library for Ruby giving Ruby developers access to the full R statistical programming environment. RSRuby embeds a full R interpreter inside the running Ruby script, allowing R methods to be called and data passed between the Ruby script and the R interpreter. Most data conversion is handled automatically, but user-definable conversion routines can also be written to handle any R or Ruby class.
An R to Ruby bridge
RSRuby is a bridge library for Ruby giving Ruby developers access to the full R statistical programming environment. RSRuby embeds a full R interpreter inside the running Ruby script, allowing R methods to be called and data passed between the Ruby script and the R interpreter. Most data conversion is handled automatically, but user-definable conversion routines can also be written to handle any R or Ruby class.
RSRuby is a bridge library for Ruby giving Ruby developers access to the full R statistical programming environment. RSRuby embeds a full R interpreter inside the running Ruby script, allowing R methods to be called and data passed between the Ruby script and the R interpreter. Most data conversion is handled automatically, but user-definable conversion routines can also be written to handle any R or Ruby class.
RObject is a wrapper library for RSRuby.
RType is a wrapper library for RSRuby.
you should check out rsruby first. This is a very low-tech way to run R. It does have the advantage of being able to run R code essentially unchanged.
GoRuby makes it easy to interact with the Gene Ontology by using the infrastructure setup in R. By connecting to R using RSRuby, the database and methods can be interrogated. Plus, keeping the R library up to date is much simpler than having to keep a GO implementation up to date.