R/kieskompas.R

In lmap: Logistic Mapping

#' Kieskompas data
#'
#' Data description
#'
#' @name  kieskompas
#' @docType data
#'
#' @keywords dataset
#'
#' @format A list of 7 matrices
#' \itemize{
#'   \item G: an indicator matrix of dimension 25001 by 21 indicating the vote intention of the participants
#'   \item Xs: responses to the 30 propositions of the participants
#'   \item Xs2: responses to the 30 propositions of the participants, with NA's coded as neutral (3)
#'   \item Xb: background variables Age, Gender (male = 0, female = 1), and Education (theoretical = 0, practical = 0)
#'   \item Z: position of the 18 political parties on the 30 propositions
#'   \item stellingen: the exact Dutch wording of the propositions
#'   \item grouping: the 30 propositions can be grouped in themes (mk, bb, ef, sc, ai, bo, et, oz).
#'   mk: Environment & Climate; bb: Foreign Policy; ef: Economy & Finance; sc: Social Affairs & Culture
#'   ai: Asylum & Immigration; cc: Construction & Environment; et: Ethics; oz: Education & Healthcare
#' }
#'
#' @references van Lindert, J., Meijer, S., Etienne, T., van der Steen, S., Kutiyski, Y., Moreda Laguna, O., Brousianou, A.,
#'  Blanken, W., & Krouwel, A. (2023). Het Kieskompas voor de Nederlandse Tweede Kamerverkiezingen van 2023 [dataset].
#'  Kieskompas, Amsterdam, the Netherlands.
"kieskompas"