Personal Docker Image
This image is a derivative of rocker/hadleyverse and extends an already great foundation to add packages that I personally use.
With the ease of Docker containers, it is extremely simple to fire up a powerful machine with all of the R packages I personally use, along with an RStudio Server interface to that machine.
These are the packages that I want in my personal setup.
- RNeo4j: to add the ability to interface with the Neo4j graph database
- stattleshipR: an API to get access to a wide range of sports data
Easy Way: Pull from Docker
It's as easy as ...
docker pull btibert3/r-addons
and fire up the container as a daemon with the port
8787 exposed for RStudio Server
docker run -d -p 8787:8787 btibert3/r-addons
To verify that it is running
If you want to stop the instance, simply grab the idea from the
docker ps command and
docker stop <instance id here>
Clone with Git and Build yourself
git clone https://github.com/Btibert3/r-addons.git cd r-addons docker build -t brock/r-addons . docker run -d -p 8787:8787 brock/r-addons