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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:
Party System Fractionalization Index as proposed by Douglas Rae (1968)
Effective Number of Political Parties by Laakso, M., & Taagepera, R. (1979)
Party Nationalization Index by Jones, M. P., & Mainwaring, S. (2003)
Rice Party Cohesion Index by Rice (1925); and many more.
You can install the development version of politicsR
from GitHub with:
# install.packages("devtools")
devtools::install_github("silvadenisson/politicsR")To get started with politicsR, load the package
with:
library(politicsR)
#>
#> 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)
hh(x)
#> [1] 0.36Or the Effective Number of Political Parties (ENP):
enp(x)
#> [1] 2.777778The 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:
data(spain)
barc2019 <- spain[spain$yr == 2019 & spain$cst_n == "Barcelona",]
fractionalization(barc2019$pvs1)
#> [1] 0.6828265These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.