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Index of Advanced Topics for Conda, Python, and R

List library paths for RStudio for current project.

Create Conda environment for using RStudio with R packages to ensure a robust set of base packages (like ggplot2 and dplyr) compiled specifically for your environment.

Install Rstudio from Company Portal

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.

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.

Index of R/RStudio guides

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

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

Best Practices for Managing Integrated R & Python Projects with Conda

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

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

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.