R/eurobarometer.R

In antaldaniel/eurobarometer: Tidy Eurobarometer Survey Microdata For Retrospective Harmonization

#' eurobarometer: A package to create tidy Eurobarometer microdata files.
#'
#' 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.
#'
#' @section labelling functions:
#' The naming functions make the GESIS SPSS files usable in a programmatic
#' context.
#' \code{\link{var_label_normalize}} and \code{\link{val_label_normalize}}
#' removes regex symbols, whitespace, and
#' basic inconsistencies in abbreviations.
#' \code{\link{label_suggest}} harmonizes the names across various GESIS
#' files, so that they can be joined into panels across time.
#'
#' @section metadata functions:
#' The metadata functions map the SPSS file and suggest variable names,
#' re-labelling and class conversions.
#' \code{\link{metadata_create}}
#' \code{\link{gesis_metadata_create}}
#'
#' @section identify functions:
#' Identify functions try to find harmonization candidates by logical rules.
#'
#' @section sample data files:
#' \code{\link{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.
#'
#' \code{\link{ZA6863_sample}} A small subset of the ZA6863:
#' Standard Eurobarometer 87.3, May 2017 survey.
#'
#' \code{\link{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.
#'
#' @docType package
#' @name eurobarometer
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