| Title |
Introduction to R |
| Abstract |
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. |
| Authors |
['Christopher Cameron, Adam Brazier, Linda Woodard (original author)'] |
| Expertise Level |
None |
| Learning Outcome |
None |
| Learning Resource Type |
asynchronous online training |
| Target Group |
['Researchers', 'Research groups', 'Student'] |
| Keywords |
['R language', 'scripting', 'objects', 'cluster', 'parallelism', 'threading', 'batch', 'libraries'] |
| Cost |
None |
| Duration |
240 |
| Language |
en |
| License |
None |
| Resource URL Type |
URL |
| Start Datetime |
None |
| URL |
https://cvw.cac.cornell.edu/R |
| Version Date |
2021-10 |
| Provider ID |
urn:ogf.org:glue2:access-ci.org:resource:cider:infrastructure.organizations:898 |
| Rating |
None |
