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umx Docker Image

This is a Docker container for R 4.1.0 with RStudio, Intel Math Kernel Library (MKL), and umx package pre-installed.

umx is a package designed to make structural equation modeling easier, from building, to modifying and reporting. umx includes high-level functions for complex models such as multi-group twin models, as well as graphical model output.

Find out more about umx.

Docker Commands

Pull umx image from dockerhub

sudo docker pull diffpsych/umx

Run the umx container in detatched mode

Map a host folder to the container so the container can access files on host and write out results. This is important since the --rm flag is there to tell the Docker Daemon to clean up the container and remove the file system after the container exits. Make sure you run the container as a non-root user.

sudo docker run -d --rm -v $(pwd):/home/rstudio/data -e USERID=$UID -p 8787:8787 -e PASSWORD=<password> diffpsych/umx

You can then open a web browser pointing to your docker host on port 8787. Username to login to RStudio is rstudio and the password is whatever you set when you ran the container.

More details about sharing volumes and permissions on rocker wiki

docker run and common flags:

Argument Explanation
-i Interactive (usually used with -t)
-t Give a terminal interface for a CLI
-p Publish Ports: -p <host port>:<container port>
-d Detached mode: run the container in the background (opposite of -i -t)
-v Mount a volume from inside your container (that has been specified with the VOLUME instruction in the Dockerfile)
--rm Remove your container from the host when it stops running (only available with -it)

See list of all running containers

sudo docker ps

Kill running container

sudo docker kill <container ID>

R Code

Get or print the version of umx, along with detail from OpenMx and general system info

umx::umxVersion()

Shows how many cores you are using, and runs a test script so user can check CPU usage

umx::umx_check_parallel()

Set number of cores you want umx to use

umx::umx_set_cores() #if empty, shows number of available cores

Benchmark your CPU and compare against other CPUs

plot(benchmarkme::benchmark_std(runs=1))

References & further reading

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