polarizacion_Dalton: Dimensionality of voting. Adapted version of the polarisation...
In Relectoral: Electoral Analysis

Description Usage Arguments Value Examples

With this function the slightly adapted version of the polarisation index from Dalton (2008) is computed to measure polarization. This index weights the ideological positions of the parties by their election results. This indicator ranges from 0 (in the hypothetical case that all parties occupy the same ideological position) to 10 if the parties are at the extremes of the scale position. The formula to compute it is as follows:

Pd=√{∑_{i=1}^{n}p_{i}≤ft[\frac{\overline{x}_{i}-\overline{x}_{p}}{4.5}\right]^{2}}

Pd = sqrt(sum(p_j*(x_j-mean(x_p))/4.5)^2) for i = 1, 2, …,n

1	polarizacion_Dalton(datos)

datos

It is a data.frame with three columns: the first one contains the name of the political parties. The second must have the value of the ideological location (scale from 1 to 10), and the third one the percentage of votes obtained with respect to all the parties presented, whether or not they are taken into account to calculate the formula.

Returns the numerical value of this indicator

d2<- data.frame(partidos=c("RN","PDC","PS","PPD","UDI","PRSC"),
 ubicacion=c(6.36,5.31,2.73,4.13,7.04,4.00),
 c(14.12,20.76,10.05,15.42,22.36,3.54))

polarizacion_Dalton(d2)