pip

Released source packages are available on PyPi. Installing should be as eaasy as

pip install rpy2

The project page with its code is here: https://github.com/rpy2/rpy2

Documentation is otherwise available for the following versions of the code.

• dev
• 3.6.x
• 3.5.x
• 3.4.x
• 3.3.x
• 3.2.x
• 3.1.x
• 3.0.x
• 2.9.x

Additional resources, about rpy2 in particular or demonstrations of polyglot data analysis using rpy2 to call R from Python, are available (don't hesitate to notify us about other resources):

• Python and R in Google's AI and ML notebooks
• Polygot Data Analysis Is Being Pragmatic (Talk: ODSC Boston 2016)
• Polyglot Data Analysis Visually Demonstrated With Python And R (Talk: Jupyter Days Boston)
• R vs Python: a false dichotomy (Blog: ActiveState)
• Pipelining R and Python in Notebooks (Blog: Revolutions Analytics / Microsoft)
• RPy2: Combining the Power of R + Python for Data Science (Blog: yhat)