Run the following command (might need sudo priviledges):
docker run -it --rm -p 7777:7777 -p 7878:7878 \
--volume $HOME:/home/host_home \
--workdir /home/host_home \
--entrypoint /usr/bin/bash \
--user root \
gnasello/datascience-env:latest
Command shortcut to start jupyter lab (default port 7777) inside the container:
jl
You can change the port with the -p argument (e.g. jl -p 8888).
Command shortcut to start RStudio Server (port 7878) inside the container:
rs
To login in RStudio server use the following credentials:
username: rstudio
password: rstudio
You will create new files and directories as root. Thus, if you want to allow any further user to access everything you created in the current directory, type the following command:
chmod -R 777 ./
Docker container built on jupyter/r-notebook
R packages added:
- devtools
- repr
- svglite
- latex2exp
- datarium
- rstatix
- ggpubr
- ggsci
- tidyverse
Python packages added:
lckr-jupyterlab-variableinspector
You find instructions to build this Docker Image in this GitHub page.
Content type
Image
Digest
sha256:9a39e2987…
Size
1.7 GB
Last updated
8 months ago
docker pull gnasello/datascience-env