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It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions).
All errors from the R language are converted to Python exceptions.
Any module installed for the R system can also be utilized from within Python itself.
Here are some key features of "RPy":
· Robust interface for using R from Python.
· The interface should be as transparent and easy to use as possible.
· Usable for real scientific and statistical computations.
What's New in This Release: [ read full changelog ]
Bugs fixed:
· With the robjects layer, repr() on a list containing non-vector elements was failing.

Via: RPy 2.3.2
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