Gateveys
Open access
Autor(in)
Datum
2013-01Typ
- Working Paper
ETH Bibliographie
yes
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Abstract
This paper describes how to use the R package gateveys to establish a transparent and reproducible aggregation work flow for longitudinal data stemming from business tendency surveys (BTS). Business tendency survey researchers are addressed in particular though the suggested work flow could also be applied to other processes that generate categorical data. The package has two main features: First, it provides functions to build an aggregation process that re-calculates all periods when a new survey wave is added and hence can be fully reproduced at any later stage. Second, the package can be used to dynamically add localized meta information to the resulting time series object during the aggregation process. Besides, the paper suggests a software architecture for use of the package in a scenario with regular, periodical survey waves. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-a-007606143Publikationsstatus
publishedZeitschrift / Serie
KOF Working PapersBand
Verlag
KOF Swiss Economic Institute, ETH ZurichThema
Software architecture; Time series; Qualitative survey; Aggregation; BETRIEBSWIRTSCHAFTLICHE SOFTWARE; Meta information; Meta data; STATISTICAL SURVEY; Reproducible research; Survey data; TIME SERIES ANALYSIS (MATHEMATICAL STATISTICS); R; Categorical data; ZEITREIHENANALYSE (MATHEMATISCHE STATISTIK); STATISTISCHE ERHEBUNGEN; Business tendency surveys; BUSINESS ECONOMICS/SOFTWAREOrganisationseinheit
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
ETH Bibliographie
yes
Altmetrics