volatilidad {Relectoral}

Dimensionality of voting. Volatility

Description

This function calculates the total volatility of Pederson (1983:31 and 32), and the volatility between blocks. The formulas for calculating these values can be found in Oñate and Ocaña's book "Analysis of electoral data", page 45. This dimension compares the behaviour of the electorate in two different elections, so as to see the transfer of votes, either between blocks or between political parties.

Usage

volatilidad(dat1, dat2, enlace)

Arguments

dat1

It is a data.frame with two columns. The first column contains the acronym of the political party and the second the votes or seats obtained from the first period of time, depending on whether you want to calculate the electoral or parliamentary volatility respectively.

dat2

It is a data.frame with two columns. The first column contains the acronym of the political party and the second the votes or seats obtained from the second period of time, depending on whether you want to calculate the electoral or parliamentary volatility respectively.

enlace

It is a data.frame that serves to link the parties, coalitions or groupings that you want to compare between the two periods under study. This data.frame contains a total of 22 columns. The first column contains the corresponding name of the political parties. The next 10 columns (called p1_i for i=1,2,...,10) are used to indicate the number of the row(s) of the party(ies) of the first electoral period to be grouped. The next 10 columns (called p2_i for i=1,2,...,10) are used to indicate the number of the row(s) of the party(ies) of the second electoral period to be grouped. When some of the 10 columns are not needed, the remaining columns are filled in with zeros. The data in each row is used with following purpose: For the first block of 10 columns, the votes/seats of the parties appearing in that block are added up. For the second block of 10 columns, the votes/seats in that second block are also added up. These two values will be used later on for comparison. The last column of this data.frame (called "block"), will contain the values "D" or "I" indicating "Right", "Left", respectively.

To clarify all these concepts execute in R browseVignettes("Relectoral") or vignette("Volatility")

Value

It returns a list with two objects. The first is the total volatility, and the second is the inter-block volatility.