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RR by R in Official Statistics

Author

Listed:
  • Ciprian ALEXANDRU

    (Ecological University of Bucharest and National Institute of Statistics, Romania)

  • Nicoleta CARAGEA

    (Ecological University of Bucharest and National Institute of Statistics, Romania)

Abstract

Nowadays there is a growing alarm about scientific research results that cannot be reproduced. The reasons comprise increased levels of control, complexity of experiments and statistics, and also time pressures on researchers. Journals, scientists and research institutions all have a part in promoting reproducibility. On the other side, the progress in computational science has barriers because the researchers do not have the ability to independently reproduce or verify published results. The reproducible research using R in official statistics is one of the objectives that the Romanian Institute of Statistics takes into account to achieve in the near future. The first step is to implement the idea according to “publications produced in official statistics should be accompanied by the relevant information and data to reproduce the results and findings”.

Suggested Citation

  • Ciprian ALEXANDRU & Nicoleta CARAGEA, 2016. "RR by R in Official Statistics," Romanian Statistical Review, Romanian Statistical Review, vol. 64(2), pages 93-100, June.
    • Handle: RePEc:rsr:journl:v:64:y:2016:i:2:p:93-100
    as

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    File URL: http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A08.pdf
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    References listed on IDEAS

    as
    1. Wilson, Brigid, 2014. "Implementing Reproducible Research," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(b02).
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    Cited by:

    1. Florin VADUVA & Rodica GHERGHINA & Ioana DUCA, 2017. "Orientation of Public Policy by Highlighting the Relationship between Economic Development, Education and Eco-Innovation in EU Countries," Romanian Statistical Review, Romanian Statistical Review, vol. 65(3), pages 3-15, September.

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      More about this item

      Keywords

      R; Packages; reproducible research; official statistics; data science;
      All these keywords.

      JEL classification:

      • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
      • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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