Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/80843 
Autor:innen: 
Erscheinungsjahr: 
2013
Schriftenreihe/Nr.: 
KOF Working Papers No. 326
Verlag: 
ETH Zurich, KOF Swiss Economic Institute, Zurich
Zusammenfassung: 
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.
Schlagwörter: 
R
aggregation
survey data
qualitative survey
categorical data
business tendency surveys
time series
meta data
meta information
software architecture
reproducible research
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