For example, if is set to /dbfs/examplepath/change-r-base.sh, then in the cluster creation UI specify the init script path dbfs:/examplepath/change-r-base.sh.Īfter the cluster starts up, verify that the desired R version is installed by running %r R.version in a notebook cell. When specifying the init script path in the cluster creation UI, modify the format of the init script path to change /dbfs to dbfs:/. Run the notebook cell to save the init script to a file on DBFS.Ĭonfigure a cluster with the cluster-scoped init script. R -e \"install.packages('hwriterPlus', repos='')\"" > $INIT_SCRIPT_PATH R -e \"install.packages('Rserve', repos='', type = 'source')\" # Must install Rserve to use Databricks notebook # Add the repository containing another version of RĪpt-get install -y r-base-core=$R_VERSION Set to a file path under /dbfs where this init script will be saved. Paste the following shell command into a notebook cell. Paste the following shell command in a notebook cell: %shĪdd-apt-repository 'deb xenial//'įor example, you can install version 3.3.3 by specifying 3.3.3-1xenial0.
To list the versions of r-base-core that can be installed and the version format: You can check the default r-base version that each Databricks Runtime version is installed with in the System environment section of each Databricks Runtime release note. Let’s install and load the package to RStudio: install. For this tutorial, I’m going to use the dplyr package.
#Check r version in rstudio how to
These instructions describe how to install a different version of R (r-base) on a cluster. The following R programming syntax illustrates how to find out the package version which is currently loaded in R.
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