UKHouseOfCommons

R Documentation

1992 United Kingdom electoral returns

Description

Electoral returns, selected constituencies, 1992 general election for the British House of Commons

Usage

data(UKHouseOfCommons)

Format

A data frame with 521 observations on the following 12 variables.

constituency

a character vector, name of the House of Commons constituency

county

a character vector, county of the House of Commons constituency

y1

a numeric vector, log-odds of Conservative to LibDem vote share

y2

a numeric vector, log-odds of Labor to LibDem vote share

y1lag

a numeric vector, y1 from previous election

y2lag

a numeric vector, y2 from previous election

coninc

a numeric vector, 1 if the incumbent is a Conservative, 0 otherwise

labinc

a numeric vector, 1 if the incumbent is from the Labor Party, 0 otherwise

libinc

a numeric vector, 1 if the incumbent is from the LibDems, 0 otherwise

v1

a numeric vector, Conservative vote share (proportion of 3 party vote)

v2

a numeric vector, Labor vote share (proportion of 3 party vote)

v3

a numeric vector, LibDem vote share (proportion of 3 party vote)

Details

These data span only 521 of the 621 seats in the House of Commons at the time of 1992 election. Seats missing either a Conservative, Labor, or a LibDem candidate appear to have been dropped.

The original Katz and King data set does not have case labels. I used matches to an additional data source to recover a set of constituency labels for these data; labels could not recovered for two of the constituencies.

Source

Jonathan Katz; Gary King. 1999. "Replication data for: A Statistical Model of Multiparty Electoral Data", http://hdl.handle.net/1902.1/QIGTWZYTLZ

References

Katz, Jonathan and Gary King. 1999. “A Statistical Model for Multiparty Electoral Data”. American Political Science Review. 93(1): 15-32.

Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Chichester. Example 6.9.

Examples

data(UKHouseOfCommons)
tmp <- UKHouseOfCommons[,c("v1","v2","v3")] 
summary(apply(tmp,1,sum))

col <- rep("black",dim(tmp)[1])
col[UKHouseOfCommons$coninc==1] <- "blue"
col[UKHouseOfCommons$labinc==1] <- "red"
col[UKHouseOfCommons$libinc==1] <- "orange"

library(vcd)
vcd::ternaryplot(tmp,
                 dimnames=c("Cons","Lab","Lib-Dem"),
                 labels="outside",
                 col=col,
                 pch=1,
                 main="1992 UK House of Commons Election",
                 cex=.75)