ISC working groups provide the mechanism through which the ISC can explore, fund, and manage large collaborative projects. There are primary two modes of collaboration that may make a proposal well suited to be a WG:

  1. The advice or collaboration of subject matter experts is required to decide the merit or feasibility of a project.
  2. The work required for the project requires the skills not possessed by a single individual, or the amount of work required is more than can be accomplished by a single person in a reasonable amount of time.

Benefits of Forming an ISC Working Group

Your project will be:

  • Vetted by the relevant experts
  • Sanctioned by the R Consortium
  • Receive the attention of the R Foundation
  • Become visible to the greater R Community
  • Administrative support from the R Consortium

Active Working Groups

 

Census Working Group: Is developing package recommendations, and other materials for working with census data.

Code Coverage: Helping to improve R software quality through the development of a code coverage tool and promoting the use of code coverage more systematically within the R ecosystem.

Future-proof native APIs for R: Is working to assess current native API usage, gather community input, and work towards an easy-to-understand, consistent and verifiable API that will drive R language adoption.

histoRicalg: This project aims to document and test older Fortran and C and other code that is still essential to the R ecosystem, possibly creating all-R reference codes, hopefully by teaming older and younger workers so knowledge can be shared for the future.

R Certification: Is working to establish a common certification program for proficiency in R.

/ Medicine: R users in the medical industry collaborating on events and advocacy of R.

/ Pharma: R users in the pharmaceutical industry collaborating on events and advocacy of R.

R Validation Hub: Working to devise a standard for validating packages for the regulated Pharmaceutical industry and create a online repository that will be free to use.

Unified Framework for Distributed Computing in R: Now inactive, explored the feasibility developing a common framework to standardize the programming of distributed applications inR.

Working groups have public mailing lists to facilitate discussions.