How to Install R in Jupyter with IRKernel in 3 Steps?

The detailed installation of the R kernel for the ‘Jupyter’ environment

Recently, my work in RStudio has been very slow and taking up too much resource on my laptop. Therefore, I search for the alternative IDE to run my R jobs and bump into IRKernel, which enables the R programming language in Jupyter Notebook. This article will illustrate how to set up R in Jupyter in details.

Requirements

Before you proceed, it’s important to pre-install:

• Jupyter notebook. The best way is to install Anaconda distribution, and everything will be ready made for you.

Downloads - Anaconda

• R from CRAN-R (Regularly check the latest update from CRAN-R)

The Comprehensive R Archive Network

For those who want to manually do it without Anaconda distributions, please follow the guidelines here:

Installing Jupyter Notebook - Jupyter Documentation 4.1.1 alpha documentation

Install IRKernal in Anaconda Prompt

1. Open the Anaconda Prompt

Image 2: Locate where Anaconda Prompt is.

2. To install IRKernel with conda run:
conda install -c r r-irkernel

During the installation process, Anaconda might ask if you want to proceed ([y]/n)? Just type ‘y’

Image 3: IRKernel’s Installation Process

3. Proceed to ‘Anaconda Navigator’ and launch ‘Jupyter Notebook’. If you go to the ‘New’ tab…