Installing Jupyter Notebook for R in Multi-users Environment

Beforehand, I assume the followings were done.

1. Install Anaconda 3.6
2. Install R 3.3, RGui, and RStudio, etc.

Don’t Try This

conda update anaconda  
conda install -c r r-essentials

There are web pages that teach you install this way.
This will duplicate your libraries in the R evnironment. And the R kernel cannot start in Jupyter Notebook.

Install with IRkernel

In RGui or RStudio, run the followings:

install.packages(c('repr', 'IRdisplay', 'evaluate', 'crayon', 'pbdZMQ', 'devtools', 'uuid', 'digest')) 

devtools::install_github('IRkernel/IRkernel')

This is important

Check you R library path in RGui or RStudio

.libPaths()

In my case, this output:

[1] "C:/Users/Ken Chan/Documents/R/win-library/3.3"
[2] "C:/Program Files/R/R-3.3.3/library"

Copy the first path. In command line or bash console, create an environment variable.

export R_LIBS_PATH="C:/Users/Ken Chan/Documents/R/win-library/3.3"

Start the console with R --no-save, and run:

IRkernel::installspec()

You are Done!

Where you restart your Jupyter Notebook, you can see a new R kernel, under the menu Kernel -> Change kernel.

Written with StackEdit.