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An R package for automatically generating candidate correspondence tables between classifications
Ist Teil von
Statistical journal of the IAOS, 2023-12, Vol.39 (4), p.995-1009
Ort / Verlag
Amsterdam: IOS Press BV
Erscheinungsjahr
2023
Link zum Volltext
Beschreibungen/Notizen
Many statistical classifications exist in a statistical ecosystem, where they are interlinked with other classifications. When statistics on the same topic are compiled using different classifications, they need to be transformed in order to become comparable by means of a correspondence table – but sometimes, no correspondence table between the two classifications involved exists. This paper presents the newly developed ‘correspondenceTables’ R package, available on CRAN, which automates much of the ‘mechanical’ work required for developing a correspondence table (thus allowing statistical classification experts to focus on tasks with higher value added). Moreover, the paper presents lessons learned along the way, including unforeseen quality issues with the input data (that required considerable efforts to be successfully tackled), and outlines areas for future improvement.