# Set up native R package support

This chapter describes the specifics of working with public and private R packages repositories.

Environment tool
: Use the [Environment tool](customize-notebook-environment.html) to install and manage R packages (`install.packages`, `remove.packages`, and `available.packages` commands supported).
:
:
:
: This method records the applied changes to the `environment.yml` file of the respective notebook. As a result, the new configuration is automatically applied when opening the notebook.

.Rprofile files
: To configure a custom R package repository, add an `.Rprofile` file to the notebook's Attached data or the home directory in a custom agent image (applicable for Datalore On-Premises).
:
:
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: If you want to use R Studio Package Manager, you can set it up it there (or in other supported places if you use a custom docker image). If no CRAN url is specified, https://cloud.r-project.org is used by default.
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: The .Rprofile file will be respected when installing environment for the notebook.

Custom R environment without Anaconda (for Datalore On-Premises users)
: This [custom environment](customize-notebook-environment.html) sets a non-conda default environment with the R kernel.
:
:
:
:
: ```
: FROM jetbrains/datalore-agent:2026.3
: ENV CUSTOM_ENV_NAME myenv
: USER root
: RUN apt-get update && \
: DEBIAN_FRONTEND=noninteractive apt-get install -y -q --no-install-recommends libzmq3-dev libcurl4-openssl-dev libssl-dev r-base make g++ libharfbuzz-dev libfribidi-dev libtiff-dev apt-file && \
: Rscript -e "install.packages(c('repr', 'IRdisplay', 'IRkernel'), type = 'source')" && \
: rm -rf /var/lib/apt/lists/* && apt-get clean
: RUN chown -R datalore:datalore /home/datalore && \
: chown -R datalore:datalore /usr/local/lib/R/site-library
: USER datalore
: RUN mkdir -p /opt/python/envs/$CUSTOM_ENV_NAME
: RUN /opt/python/bin/python -m venv /opt/python/envs/$CUSTOM_ENV_NAME
: RUN /opt/python/envs/$CUSTOM_ENV_NAME/bin/pip install ipykernel==5.5.3 ipython==7.31.1 ipython_genutils==0.2.0 jedi==0.17.2
: RUN PATH=/opt/python/envs/$CUSTOM_ENV_NAME/bin/:$PATH Rscript -e "IRkernel::installspec(sys_prefix=TRUE)"
: RUN /opt/datalore/build_code_insight_data.sh /opt/python/envs/$CUSTOM_ENV_NAME
: ```