UKHouseOfCommons {pscl} | 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)

[Package pscl version 1.5.2 Index]