kieskompas

dataset

Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).

Mark de Rooij

lmap

Logistic Mapping

Frank Busing

Juan Claramunt Gonzalez

kieskompas function

A list of 7 matrices<ul>
<li>G: an indicator matrix of dimension 25001 by 21 indicating the vote intention of the participants</li>
<li>Xs: responses to the 30 propositions of the participants</li>
<li>Xs2: responses to the 30 propositions of the participants, with NA's coded as neutral (3)</li>
<li>Xb: background variables Age, Gender (male = 0, female = 1), and Education (theoretical = 0, practical = 0)</li>
<li>Z: position of the 18 political parties on the 30 propositions</li>
<li>stellingen: the exact Dutch wording of the propositions</li>
<li>grouping: the 30 propositions can be grouped in themes (mk, bb, ef, sc, ai, bo, et, oz).
 mk: Environment &amp; Climate; bb: Foreign Policy; ef: Economy &amp; Finance; sc: Social Affairs &amp; Culture
 ai: Asylum &amp; Immigration; cc: Construction &amp; Environment; et: Ethics; oz: Education &amp; Healthcare</li>
</ul>

Format

Kieskompas data — kieskompas

Kieskompas data

kieskompas: Kieskompas data

Description

Usage

Arguments

Format

References