R/data.R

In vdeminstitute/ERT: Provides the most recent version of the Episodes of Regime Transformation dataset

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#' V-Dem data
#'
#' Loads the most recent version of the V-Dem data set.
#'
#' Varieties of Democracy (V-Dem) is a new approach to conceptualizing and measuring democracy. We provide a multidimensional and disaggregated dataset that reflects the complexity of the concept of democracy as a system of rule that goes beyond the simple presence of elections. The V-Dem project distinguishes between five high-level principles of democracy: electoral, liberal, participatory, deliberative, and egalitarian, and collects data to measure these principles. With six Principal Investigators (PIs), seventeen Project Managers (PMs) with special responsibility for issue areas, more than thirty Regional Managers (RMs), 170 Country Coordinators (CCs), Research Assistants, and 3,000 Country Experts (CEs), the V-Dem project is one of the largest social science data collection projects focusing on research. The Headquarters is based at the V-Dem Institute, the Department of Political Science at the University of Gothenburg, Sweden. The most recent data set (v9) covers 202 countries from 1789-2018 and includes 450+ indicators, 81 indices and 5 high-level indices. For more info see https://www.v-dem.net/en/
#'
#'
#' @format A data frame.
#'
#' @references Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, M. Steven Fish, Adam Glynn, Allen Hicken, Anna Luhrmann, Kyle L. Marquardt, Kelly McMann, Pamela Paxton, Daniel Pemstein, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Steven Wilson, Agnes Cornell, Nazifa Alizada, Lisa Gastaldi, Haakon Gjerløw, Garry Hindle, Nina Ilchenko, Laura Maxwell, Valeriya Mechkova, Juraj Medzihorsky, Johannes von Römer, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2020. ”V-Dem [Country–Year/Country–Date] Dataset v10”. Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemds20.
#'
#' @source https://www.v-dem.net
#'
"vdem"

#' V-Dem codebook
#'
#' Loads as data frame selected information from the V-Dem dataset codebook
#'
#' For the full pdf version of the codebook and more info see https://www.v-dem.net
#'
#'
#' @format A data frame.
#'
#' @references Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, M. Steven Fish, Adam Glynn, Allen Hicken, Anna Luhrmann, Kyle L. Marquardt, Kelly McMann, Pamela Paxton, Daniel Pemstein, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Steven Wilson, Agnes Cornell, Nazifa Alizada, Lisa Gastaldi, Haakon Gjerløw, Garry Hindle, Nina Ilchenko, Laura Maxwell, Valeriya Mechkova, Juraj Medzihorsky, Johannes von Römer, Aksel Sundström, Eitan Tzelgov, Yi-ting Wang, Tore Wig, and Daniel Ziblatt. 2020. ”V-Dem [Country–Year/Country–Date] Dataset v10”. Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemds20.
#'
#' @source https://www.v-dem.net
#'
"codebook"


#' Episodes of Regime Transformation (ERT)
#' 
#' Country-year data on episodes of regime transformation. 
#' 
#' @format A country-year dataset (class "tibble::tbl_df") with corresponding
#'   to the full V-Dem data set of cases, with three dozen columns related to
#'   the ERT coding. Key columns include:
#'   
#' \describe{
#'     \item{country_id}{V-Dem numeric country identifier}
#'     \item{year}{Year}
#'     \item{dem_ep}{Binary indicator for a democratization episode}
#'     \item{aut_ep}{Binary indicator for an autocratization episode}
#' }
#' 
#' For information on the remaining columns, see the ERT codebook, which is 
#' installed along with the package. Try the following code to open it, might
#' not work on Windows: 
#' 
#' \code{browseURL(system.file("ERT_codebook.pdf", package = "ERT"))}
#' 
#' @details These data can be re-generated by running [get_eps()] with the 
#' default settings.
#' 
#' @examples
#' data(episodes)
#' dplyr::glimpse(episodes)
"episodes"