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

Verify RStudio is using RTools that was installed in user profile.

Installing RTools in user environment without admin privileges.

Using VS Code as Integrated Development Environment (IDE) in Conda Environment for Python and R Development - Mac

Using VS Code as Integrated Development Environment (IDE) in Conda Environment for Python and R Development - Windows

Integrating R and Python on Windows can be notoriously finicky. The rpy2 library bridges this gap beautifully, but installing it via traditional methods often triggers a cascade of compilation headaches. Using Conda eliminates this friction by managing pre-compiled binaries and dependencies smoothly.

Best Practices for Managing Integrated R & Python Projects with Conda

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

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.

Index of Miniconda How-To Articles for Virtual Conda Environments

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

How to list out installed libraries and their packages.

Link RTools to RStudio by inserting RTools path in .Renviron file.

Install RStudio from Company Portal

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.