Many R replication packages have dependencies, which sometimes include the specific version of R (in particular before/after release of v4). This Docker image is meant to isolate and stabilize that environment, and should be portable across multiple operating system, as long as Docker is available.

See the setup.R file, and update accordingly.

WARNING: not all packages might build, depending on whether the R base image has the relevant libraries. You might want to change R base image, or switch to another image from rocker.

Set the TAG and IMAGEID accordingly.

TAG=v$(date +%F)
MYIMG=aer-9999-8888
MYHUBID=aeadataeditor

docker build  . -t $MYIMG:$TAG

or if using the newer build system

DOCKER_BUILDKIT=1 docker build . -t $MYIMG:$TAG

The resulting docker image can be uploaded to Docker Hub, if desired.

docker push $MYHUBID/${MYIMG}:$TAG

If using a pre-built image on Docker Hub:

docker run -it --rm $MYHUBID/${MYIMG}:$TAG

If using the image you just created:

docker run -it --rm $MYHUBID/${MYIMG}:$TAG

Somewhat more sophisticated, if you are in a project directory (for instance, the replication package you just downloaded), you can access it directly within the image as follows:

docker run -it --rm -v $(pwd)/subdir:/code -w /code $MYHUBID/${MYIMG}:$TAG

You can now start to run code.

This entire process could be automated, using Travis-CI or Github Actions. Not done yet.