Objectives: By some measures, R is the most popular software package for the analysis of data. But R has a reputation for being sluggish and inappropriate for large datasets. However, much of R's problems with performance and scalability are due to bad practices of individual programmers rather than being inherent limitations of R itself.
In this half-day (four hour) tutorial, we will introduce participants to debugging, profiling and performance analysis, optimization, foreign language API's, and parallel programming with R. There will also be a comprehensive hands-on component to reinforce topics introduced during the lecture portion.
Who Should Attend: The tutorial is ideally suited for those already working with R, as well as service providers who are serving R customers. The content is appropriate for any students, researchers, or staff who are working with R and interested in performance.
The tutorial will be live streamed and have space for local participants. No travel support will be provided for this tutorial. Please register to receive materials and system requirements for the tutorial. There will be limited space for local attendance so be sure to indicate on the registration form if you will be attending in person.
Registration deadline: Wednesday, February 25
This is a joint training between the University of Tennessee, NIMBioS, XSEDE, and NICS.
- Drew Schmidt: Extreme Science and Engineering Discovery Environment (XSEDE), National Institute for Computational Sciences (NICS)
- Eric Carr, NIMBioS