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Best Practices and Managing Library Paths and Packages in RStudio (User-Level Installation Only)

Best practices for managing portable and reproducible R code across OS platforms.

Quick start guide to using Rstudio on University-managed computers including installation from Company Portal, utilization of creating individual renv environments for each project, adding additional packages and creating snapshots of configurations for portability and reproducibility.

Quick start guide to using R, Rstudio and Python together on University-managed computers including installation without administrator credentials, utilization of unique conda environments for each project, adding additional channels for packages, adding R and Python packages to the environment, launching Rstudio, utilizing the reticulate R package and backing up configurations for portability and reproducibility.

A collection of best practices and how-to guides for managing R workflows.

Launching RStudio from a specific Conda environment ensures that your R sessions use the exact package versions, dependencies, and R executable isolated within that environment.

Index of Miniconda How-To Articles for Virtual Conda Environments

Verify Rstudio is using Rtools that was installed in user profile.

Install Miniconda as user without administrator permissions in Windows.

How to list out installed libraries and their packages.

List library paths for Rstudio for current project.

Install Rstudio from Company Portal

Utilize relative and platform independent paths in your Rstudio project for portable code.

Install R from Company Portal

Link Rtools to Rstudio by inserting Rtools path in .Renviron file.