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:

• Download conda

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

To learn more, check out our blog post.