# R Dataset / Package pscl / UKHouseOfCommons

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On this R-data statistics page, you will find information about the UKHouseOfCommons data set which pertains to 1992 United Kingdom electoral returns. The UKHouseOfCommons data set is found in the pscl R package. You can load the UKHouseOfCommons data set in R by issuing the following command at the console data("UKHouseOfCommons"). This will load the data into a variable called UKHouseOfCommons. If R says the UKHouseOfCommons data set is not found, you can try installing the package by issuing this command install.packages("pscl") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the UKHouseOfCommons R data set. The size of this file is about 44,388 bytes. ## 1992 United Kingdom electoral returns## DescriptionElectoral returns, selected constituencies, 1992 general election for the British House of Commons ## Usagedata(UKHouseOfCommons) ## FormatA 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)
## DetailsThese 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. ## SourceJonathan Katz; Gary King. 1999. "Replication data for: A Statistical Model of Multiparty Electoral Data", http://hdl.handle.net/1902.1/QIGTWZYTLZ ## ReferencesKatz, Jonathan and Gary King. 1999. “A Statistical Model for Multiparty Electoral Data”. Jackman, Simon. 2009. ## Examplesdata(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) -- Dataset imported from https://www.r-project.org. |

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dataset-65134.csv | 43.35 KB |