Agenda

R in Statistics Denmark

  • What
  • How
  • When

History of R in Statistics Denmark

History of R in Statistics Denmark

  • Introduced in the Methodology department
  • Primarily for statistical data editing and imputation
  • Shared responsibility between IT and Methodology

R today

  • Different internal packages
  • No packages on CRAN, one on a personal Github
  • DSTdb, DSTmetadata, DSTanalysis, DSTconsulting, DSTmetode RDAF, RSMOF
  • A few retired packages

Local R setup

  • No internet connection
  • Local package repository
  • Four local servers running R (and Python)
  • Limits on CPU and memory use

Future for R in Statistics Denmark

  • Digital transformation project of the statistical production
  • More use of Python and R rather than SAS

Long term ambitions:

– Consolidatated R environment

Future for R in Statistics Denmark

  • Digital transformation project of the statistical production

  • More use of Python and R rather than SAS

Long term ambitions:

– Consolidatated R environment

– Contribution to open source packages for official statistics

GaussSuppression, validate1

Future for R in Statistics Denmark

Questions?