Mis-quoting Churchill: R is the worst numerics software, except for all those others I've tried from time to time. I've used R extensively for analyzing networ

Mis-quoting Churchill: R is the worst numerics software, except for all those others I've tried from time to time. I've used R extensively for analyzing network simulation results databases that run in the tens or hundreds of MB. One can find well-documented libraries that work for interfacing with nearly everything. In my case, it's pulling data from MySQL or SQLite databases, performing graph-theory analysis using Boost Graph Library, and generating output with Graphviz and other plotting tools. It's a solid toolchain, and R's inherent slowness is somewhat manageable via the parallel flavors of apply. The main problem for me has been the lack of a clean analog to namespaces or utility classes. Environments sort of do the same thing but are ugly syntactically. I'm hopeful about Julia, but there are a couple showstoppers for me presently. Maybe in a few years.