spren9er / r-docker

Dockerfile for R Dev Environment

Docker for R Dev Environment

Overview

Docker will install following software

• R (with tidyverse, lubridate, plotly, gganimate and some more packages)
• Jupyter
• imagemagick
• TexLive

It builds an jupyter kernel with R and runs a notebook server on port 8888 on start up.

Furthermore it installs Google Fonts and prepares them for usage with ggplot2.

Instructions

Build Docker image with

docker build -t rstats .

Run your Docker container with

docker run -it --name rstats
  -v ~/path/to/my/r/projects:/root/r
  -v ~/.Rprofile:/root/.Rprofile
  -e JUPYTER_TOKEN=1
  -p 8888:8888
  spren9er/r-docker:TAG

Atom

You can connect your Atom editor with a running remote R kernel by using Hydrogen package.

• Define a remote kernel in Hydrogen settings
• Open up an R file
• Choose 'Hydrogen: Connect to remote kernel'
• Supply token defined when running the container (JUPYTER_TOKEN)
• Run R code