# Installation

For most users, it is recommended to download the current stable release from <https://cloud.r-project.org/>.&#x20;

Some developers might wish to use a different version, or to switch between versions. For this, the [rvenv package](https://cran.r-project.org/web/packages/renv/vignettes/renv.html) can be useful.

R is also available for use in Brown's [Computing Environments](https://docs.bcbi.brown.edu/codiac-for-health/ursa-ri/computing-environments):

* Oscar (for high-performance computing)
* Stronghold (for secure computing)

## macOS <a href="#macos" id="macos"></a>

1. Download and install the latest version of The R Project for Statistical computing for macOS [here](https://cloud.r-project.org/).
2. For an integrated development environment (IDE) / graphical interface, you can also download and install R Studio from [here](https://rstudio.com/products/rstudio/download/#download).

## Windows <a href="#windows_not_inside_windows_subsystem_for_linux" id="windows_not_inside_windows_subsystem_for_linux"></a>

1. Download and install the latest version of The R Project for Statistical computing for Windows [here](https://cloud.r-project.org/).
2. For an integrated development environment (IDE) / graphical interface, you can also download and install R Studio from [here](https://rstudio.com/products/rstudio/download/#download).