Conda supports R and Python

Easy package management for statistics and data science.

The conda package manager has proven to be extremely popular and well-loved by the Python community.

IT’S FINALLY AVAILABLE FOR R.

Enjoy the power of both ecosystems with one unified tool that allows you to:

  • Build reproducible environments with well-defined versions of specific packages or the R interpreter itself

  • Build sandboxes to test out new libraries

  • Switch out versions of libraries for easy testing and debugging

  • Create your own packages and share them on http://anaconda.org, instead of submitting to CRAN

  • Coordinate library versioning between multiple collaborators with Anaconda Server

  • Manage R on Hadoop & Spark using Anaconda Cluster

Two easy steps:

  1. DOWNLOAD CONDA

  2. At the command prompt or terminal, run:
    conda install -c r r

To learn more, check out our blog post.