R templates

The R template contains the R Essentials bundle of approximately 80 packages: r-base version 3.4.2, plus the most commonly used R packages for data science, including caret, dplyr, ggplot2, glmnet, irkernel, rbokeh, shiny, and tidyverse.

You can add other R packages as described in Developing a project. You’ll need to be able to connect to the appropriate repository to do so. Otherwise, your Administrator may need to mirror the channels and packages for you to be able to access them.

R notebooks can be edited with any of the editors provided with Anaconda Enterprise: Jupyter Notebooks, JupyterLab, or Apache Zeppelin. To change the default editor for your R project, click on it or select View details from

its menu in the list view. Then click Settings to select your preferred editor. For more information, see Working with projects.