evolat: Electoral volatility calculation

In Nicolas-Schmidt/old_esaps: Indicators of Electoral Systems and Party Systems

Description

Electoral volatility calculation: Pedersen (1979), Powell and Tucker (2014) and Torcal and Lago (2015).

Usage

evolat(esapsObject, method, threshold = 2, summary = FALSE, digits = 2)

Arguments

esapsObject	An esaps class object. Function: esaps_object.
method	Method to calculate electoral volatility: "Pedersen", "Powell and Tucker" or "Torcal and Lago".
threshold	Minimum threshold for 'Type A' electoral volatility calculation (Powell and Tucker, 2014). By default is 2%.
summary	Summary of data by country, by default it is FALSE.
digits	integer indicating the number of decimal places to be used.

Examples

votes <- list(data.frame(country = rep("ARG", 3),
                         year = c(1995, 2000, 2005),
                         party_A = c(40,10,20),
                         party_B = c(35,20,40),
                         party_C = c(25,70,40)),
              data.frame(country = rep("URY", 4),
                         year = c(1995, 2000, 2005, 2010),
                         party_A = c(30,30,20,20),
                         party_B = c(30,50,40, 30),
                         party_C = c(30,10,30, 25),
                         party_D = c(10,10,10,25)),
              data.frame(country = rep("BRA", 2),
                         year = c(1993, 1998),
                         party_A = c(30, 55),
                         party_B = c(70, 45)))

votes <- esaps_object(dataset = votes, name.country = "country", name.year = "year")
volatility <- evolat(esapsObject = votes, method = "Pedersen", summary = TRUE)

Nicolas-Schmidt/old_esaps documentation built on May 17, 2019, 3:13 a.m.