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politicsR is an R package designed to help political science researchers in calculating conventional party system and political metrics. It offers a comprehensive set of functions for calculating a wide range of indicators, including:


You can install the development version of politicsR from GitHub with:

# install.packages("devtools")

Basic usage

To get started with politicsR, load the package with:

#> To cite politicsR in publications, use: citation('politicsR')

Then you can start calculating diffent metrics, such as the Herfindahl-Hirschman Concentration Index (HH):

x <- c(0.1, 0.1, 0.3, 0.5)
#> [1] 0.36

Or the Effective Number of Political Parties (ENP):

#> [1] 2.777778

The politicsR package also contains a few datasets with electoral results that can be used to test its functions. These datasets are organized by the Constituency-Level Elections Archive (CLEA) project and provide a rich source of information for political analysis. With these datasets and the functions provided by the package, users can easily calculate political science metrics such as Douglas Rae’s Fractionalization Index:

barc2019 <- spain[spain$yr == 2019 & spain$cst_n == "Barcelona",]
#> [1] 0.6828265