Statistical Data Processing with R – Metadata Driven Approach

Journal Title: Revista Romana de Statistica - Year 2016, Vol 64, Issue 2

Abstract

In recent years the Statistical Office of the Republic of Slovenia has put a lot of effort into re-designing its statistical process. We replaced the classical stove-pipe oriented production system with general software solutions, based on the metadata driven approach. This means that one general program code, which is parametrized with process metadata, is used for data processing for a particular survey. Currently, the general program code is entirely based on SAS macros, but in the future we would like to explore how successfully statistical software R can be used for this approach. Paper describes the metadata driven principle for data validation, generic software solution and main issues connected with the use of statistical software R for this approach.

Authors and Affiliations

Rudi SELJAK, Jerneja PIKELJ

Keywords

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  • EP ID EP144200
  • DOI -
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How To Cite

Rudi SELJAK, Jerneja PIKELJ (2016). Statistical Data Processing with R – Metadata Driven Approach. Revista Romana de Statistica, 64(2), 71-78. https://europub.co.uk/articles/-A-144200