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Best Practices for Managing Integrated R & Python Projects with Conda

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.

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.

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

Index of R/RStudio guides

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.

A step-by-step guide for adding renv to an existing project in RStudio.

A step-by-step guide for adding a secondary repository to RStudio.

A step-by-step guide for restoring a snapshot on an RStudio project with Renv.

A step-by-step guide for creating a snapshot of an RStudio project with Renv.

How to list out installed libraries and their packages.

List library paths for Rstudio for current project.