This roadmap provides a brief introduction to R. It covers the basic syntax of the language and illustrates some of its data handling and statistical capabilities. The focus will be on how to run R in various environments, particularly on TACC's Stampede3 and Frontera supercomputers, and especially how to run R in parallel. It is by no means a comprehensive discussion of R. Instead refer to the various manuals available on the R website, or one of the many books on R.


After you complete this roadmap, you should be able to:

  • Download and install R Studio
  • Use basic syntax in R
  • Describe data structures in R
  • Explain basic statistical analysis procedures using R

This roadmap assumes the reader has no prior experience with R. The exercises and examples assume some familiarity with statistical analysis and working through the exercises on Stampede2 or Frontera requires a basic knowledge of Linux and the ability to access these systems via SSH.

Carrying out activities on Stampede2 or Frontera will require an appropriate TACC allocation. As an alternative, some activities could be carried out on a local installation of R and others on another HPC resource with Slurm and R installed.


You can follow some topics in the roadmap using R installed on your own computer. To install R on your own computer, we recommend:

  • A computer less than 10 years old with an Intel-compatible or Apple processor
  • At least 4 GB of RAM

Other sections of the roadmap demonstrate how to use R on Stampede2 as an example of using R on a high performance computing system. To follow these examples, you will need

  • Access to Stampede2 or Frontera over SSH and an appropriate TACC allocation.


  • Access to a different HPC resource with Slurm and R installed.
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