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dc.contributor.authorLangsrud, Øyvind
dc.date.accessioned2020-03-18T10:58:37Z
dc.date.available2020-03-18T10:58:37Z
dc.date.created2019-09-20T10:12:53Z
dc.date.issued2017
dc.identifier.citationRomanian Statistical Review. 2017, (4), 129-139.en_US
dc.identifier.issn1018-046X
dc.identifier.urihttps://hdl.handle.net/11250/2647376
dc.description.abstractStatistics Norway is modernising the production processes. An important element in this work is a library of functions for statistical computations. In principle, the functions in such a methods library can be programmed in several languages. A modernised production environment demand that these functions can be reused for different statistics products, and that they are embedded within a common IT system. The embedding should be done in such a way that the users of the methods do not need to know the underlying programming language. As a proof of concept, Statistics Norway soon has established a methods library offering a limited number of methods for macro-editing, imputation and confi dentiality. This is done within an area of municipal statistics with R as the only programming language. This paper presents the details and experiences from this work. The problem of fi tting real word applications to simple and strict standards is discussed and exemplifi ed by the development of solutions to regression imputation and table suppression. Keywords: Offi cial statistics, R; Common Statistical Production Architecture, Generic Statistical Information Model, Validation and Transformation Language, Imputation, Statistical disclosure control JEL Classifi cation: C18, C88en_US
dc.language.isoengen_US
dc.publisherThe National Institute of statistics, (Romania)en_US
dc.relation.urihttps://r-project.ro/conference2017.html
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectOfficial statisticsen_US
dc.subjectStatistikkproduksjonen_US
dc.subjectOffisiell statistikken_US
dc.subjectR (Programmeringsspråk)en_US
dc.subjectImputationen_US
dc.subjectMissing dataen_US
dc.titleMethods library of embedded R functions at Statistics Norwayen_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderOpen access.en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412en_US
dc.source.pagenumber129-139en_US
dc.source.journalRomanian Statistical Reviewen_US
dc.source.issue4en_US
dc.identifier.cristin1727071
cristin.ispublishedtrue
cristin.fulltextoriginal


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal