2021-12-11: Refresh 2021-06-01: Update R version 4.1.0 2021-03-21: Update R version 2020-12-30: Refresh packages 2020-10-27: Update R version 2020-09-16: Update of the image 2020-04-19: Added golem, cranlogs packages, more elaborated readme file, 2020-04-12: Update to R version 3.6.3

To allow usage of R-Studio in a portable way using Docker Container

• docker build -t vladdsm/docker-r-studio . - to build image
• docker login - to authenticate
• docker push vladdsm/docker-r-studio - to push image to docker hub.

docker run --rm -p 8787:8787 -e USER=myself -e PASSWORD=guest -v /Users/vladdsm/R_Studio_Shared:/home/myself/projects vladdsm/docker-r-studio

Note: Create all your projects in the mapped local folder: e.g. /Users/vladdsm/R_Studio_Shared

• Access running container with the browser: http://localhost:8787, once prompted add your username and password...
• Create new project inside folder 'projects'.
• All working projects will be synchronised to the local computer in the folder /Users/vladdsm/R_Studio_Shared

CTRL + C

docker push vladdsm/docker-r-studio

docker save vladdsm/docker-r-studio > docker-r-studio.tar

docker images - get image id `docker rmi

docker load --input docker-r-studio.tar

From another terminal while container is running

docker ps - to find container ID docker exec -it [container ID ] bash to use bash in the running container and perform manipulations with container docker commit -m 'comment' [container ID] vladdsm/docker-r-studio to save changes

Only use this procedure for troubleshooting purposes

docker tag vladdsm/docker-r-studio vladdsm/docker-r-studio:Version1.0 docker push vladdsm/docker-r-studio:Version1.0

docker pull vladdsm/docker-r-studio