How to set up R for Jupyter

In the past, it was necessary to install the separate components of Jupyter, Python, and so on to have a working system. With Continuum Analytics, the process of installing Jupyter and adding the R engine to the solution set for Jupyter is easy and works on both Windows and Mac.

Assuming you have installed conda already, we have one command to add support for R programming to Jupyter:

conda install -c r r-essentials  
At this point, when you start Jupyter, one of the kernels listed will now be R.
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