love R.. but have to say because it's open source, you do have to watch for the quality of libraries
There are a huge amount of available libraries (thousands!) of variable quality thanks to the open nature of the project. But commercial software has problems too, especially with new and niche products. And when something goes wrong in those cases, you can't see why for yourself. Worse, other independent experts would not have the chance to either.
My company shuns R (although I personally like it), primarily because of this issue. If we need to run a rare or uncommon statistical procedure, it is a lot easier to trust the SAS procedure, rather than an open source R package written by some grad student.