eurobarometer: eurobarometer: A package to create tidy Eurobarometer...
In antaldaniel/eurobarometer: Tidy Eurobarometer Survey Microdata For Retrospective Harmonization
Description
labelling functions
metadata functions
identify functions
sample data files
Description
The package eurobarometer has a number of related functions to
analyse metadata; labelling variables with the help of metadata;
harmonizing variable names, classes and labels.
labelling functions
The naming functions make the GESIS SPSS files usable in a programmatic
context.
var_label_normalize and val_label_normalize
removes regex symbols, whitespace, and
basic inconsistencies in abbreviations.
label_suggest harmonizes the names across various GESIS
files, so that they can be joined into panels across time.
metadata functions
The metadata functions map the SPSS file and suggest variable names,
re-labelling and class conversions.
metadata_create
gesis_metadata_create
identify functions
Identify functions try to find harmonization candidates by logical rules.
sample data files
ZA5913_sample A small subset of the ZA5913:
Eurobarometer 81.2 (March 2014): Europeans in 2014,
Financial and Economic Crisis, European Citizenship, and
European Values survey.
ZA6863_sample A small subset of the ZA6863:
Standard Eurobarometer 87.3, May 2017 survey.
ZA7576_sample A small subset of the ZA7576:
Eurobarometer 91.5 (June-July 2019):
Standard Eurobarometer, European Parliament
Post-election survey 2019, and EU citizens and
development cooperation survey.
antaldaniel/eurobarometer documentation built on Aug. 31, 2020, 10:57 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description labelling functions metadata functions identify functions sample data files
Description
The package eurobarometer has a number of related functions to analyse metadata; labelling variables with the help of metadata; harmonizing variable names, classes and labels.
labelling functions
The naming functions make the GESIS SPSS files usable in a programmatic
context.
var_label_normalize and val_label_normalize
removes regex symbols, whitespace, and
basic inconsistencies in abbreviations.
label_suggest harmonizes the names across various GESIS
files, so that they can be joined into panels across time.
metadata functions
The metadata functions map the SPSS file and suggest variable names,
re-labelling and class conversions.
metadata_create
gesis_metadata_create
identify functions
Identify functions try to find harmonization candidates by logical rules.
sample data files
ZA5913_sample A small subset of the ZA5913:
Eurobarometer 81.2 (March 2014): Europeans in 2014,
Financial and Economic Crisis, European Citizenship, and
European Values survey.
ZA6863_sample A small subset of the ZA6863:
Standard Eurobarometer 87.3, May 2017 survey.
ZA7576_sample A small subset of the ZA7576:
Eurobarometer 91.5 (June-July 2019):
Standard Eurobarometer, European Parliament
Post-election survey 2019, and EU citizens and
development cooperation survey.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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