rig facilitates the installation and management of multiple R versions on macOS, Windows, and Linux. It addresses the common need for users to work with different R environments for various projects or compatibility requirements. rig allows users to easily install, switch between, and configure different R versions, including specific releases and development versions. It also integrates with package management systems like CRAN and PPM, and provides features like automatic system requirements installation and user-level package library management.
rig offers a streamlined approach to managing R installations, simplifying the process of working with multiple R versions. Key features include cross-platform support, easy installation and updates, and the ability to select default R versions for different applications. The macOS menu bar app provides interactive version selection, while the integration with package managers ensures a consistent environment. Additionally, rig handles tasks like setting up system requirements and managing permissions, enhancing the overall developer experience.
- Cross-Platform Support: Runs on macOS, Windows, and Linux, offering a unified management solution.
- Multiple R Versions: Enables installing and managing various R versions simultaneously for diverse project needs.
- Default Version Selection: Allows setting default R versions for terminal and RStudio.
- CRAN Mirror & PPM Setup: Configures the default CRAN mirror and PPM for seamless package management.
- Automatic System Requirements: Installs and configures necessary system dependencies for R packages.
- User-Level Package Libraries: Creates and manages user-specific package libraries, preventing conflicts.
- Auto-Complete: Provides auto-completion for
zshandbashon macOS and Linux.
rig is an actively maintained project with frequent updates and a responsive issue tracker. Recent commits and a growing user base indicate ongoing development and community engagement. Comprehensive documentation is available to guide users through installation and usage, and the project boasts a solid release history, suggesting stability and reliability.
rig benefits data scientists, statisticians, and R developers who frequently work with multiple R versions or need a simplified R environment management solution. It streamlines workflows, reduces setup time, and ensures consistent R environments across different platforms. rig offers a significant advantage over manual installation and configuration processes, saving time and reducing potential errors.