Preface

My other post describes using Conda installing R kernel Notebook on a Linux remote server, but I’ve found that conda doesn’t handle various dependency conflicts very well, often resulting in installations that don’t I found that conda doesn’t handle dependency conflicts well, which often leads to unsuccessful installations.

Later, I also used brew to install it on my macOS system, and found that it was easier and faster, so I summarized the steps.

System: macOS Venture 13.1 (22C65)

Product: Intel Chip MacBook

Requirement

Install Homebrew .

Homebrew is the most used package manager on macOS, and this is its official installation tutorial . But usually, we just need to enter the following command while making sure the network is accessible:

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/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

R

It is so easy to install r package with brew:

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brew install r

Jupyter

Almost the same as before:

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brew install jupyterlab

R-Kernel

Use r to install IRkernel :

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# Go to the r console first
R
# Install devtools
install.packages('IRkernel')
# At this point you might be asked to choose a mirror, just choose the nearest one
# Register the kernel with R
IRkernel::installspec()
# Install the RStudio shortcut.
# If RStudio is installed, you can choose to install it, but not if you're using a notebook.
jupyter labextension install @techrah/text-shortcuts

Launch Notebook

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jupyter notebook

Click Create or New button and find that you can create r-kernel notebooks now.

Landscaping

This part is not necessary and is for record only.

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# Configure themes
pip install jupyterthemes
# A set of theme settings that I personally like and have gotten used to
jt -t monokai -f fira -fs 13 -cellw 90% -ofs 11 -dfs 11 -T -N
# Restore the default theme
jt -r
# Configure plugins
pip install jupyter_contrib_nbextensions
jupyter contrib nbextension install --user
# Install the plugin manager This step may fail See update 1 later for details
pip install jupyter_nbextensions_configurator
# Suggested configuration items
# Hinterland code completion
# Collapsible headings
# Notify Notify mechanism to run time-consuming tasks and notify when they're done.
# zenmode Hide active status bar, easy to notice the code.
# ExecuteTime Show execution time

Postscript

I didn’t run into any snags with this installation, so if you run into any other issues, feel free to leave them in the comments section.

Update 1

When I repeated this tutorial on 2023.03.20, I found that the Nbextensions tag would not appear. Upon checking, this was caused by the plugin not being updated to adapt a new version of the dependency package nbclassic.

See the GitHub issue for details.

Solution: Downgrade the dependency package. We may update it later.

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pip install "nbclassic<0.5"

Update 2

2024.03.15 Update: The notebook was officially upgraded to version 7.x a couple months back. I haven’t had to do any 3rd party manipulation with the new version. It can be changed directly inside the settings with a high degree of customization.

notebook-setting