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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.

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.

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

Install Rstudio from Company Portal

Install R from Company Portal

A step-by-step guide for uninstalling packages from an existing project in RStudio.

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

Installing Rtools in user environment without admin privileges.

Quick start guide to using Anaconda for Python on University-managed computers including installation without administrator credentials, utilization of unique conda environments for each project, adding additional channels for packages and backing up configurations for portability and reproducibility. Please see linked articles for detailed how-to instructions and the additional assistance links for more documents related to the subject.

Quick start guide to using Miniconda for Python on University-managed computers including installation without administrator credentials, utilization of unique conda environments for each project, adding additional channels for packages and backing up configurations for portability and reproducibility. Please see linked articles for detailed how-to instructions and the additional assistance links for more documents related to the subject.

A step-by-step guide for installing packages into an existing project in RStudio.