R Dataset / Package pscl / AustralianElections

On this R-data statistics page, you will find information about the AustralianElections data set which pertains to elections to Australian House ofRepresentatives, 1949-2007. The AustralianElections data set is found in the pscl R package. You can load the AustralianElections data set in R by issuing the following command at the console data("AustralianElections"). This will load the data into a variable called AustralianElections. If R says the AustralianElections 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 with the library() command. 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 AustralianElections R data set. The size of this file is about 2,030 bytes.

elections to Australian House of Representatives, 1949-2007

Description

Aggregate data on the 24 elections to Australia's House of Representatives, 1949 to 2007.

Usage

data(AustralianElections)

Format

A data frame with the following variables:

date: date of election, stored using the Date class
Seats: numeric, number of seats in the House of Representatives
Uncontested: numeric, number of uncontested seats
ALPSeats: numeric, number of seats won by the Australian Labor Party
LPSeats: numeric, number of seats won by the Liberal Party
NPSeats: numeric, number of seats won by the National Party (previously known as the Country Party)
OtherSeats: numeric, number of seats won by other parties and/or independent candidates
ALP: numeric, percentage of first preference votes cast for Australian Labor Party candidates
ALP2PP: numeric, percentage of the two-party preferred vote won by Australian Labor Party candidates
LP: numeric, percent of first preference votes cast for Liberal Party candidates
NP: numeric, percent of first preference votes cast for National Party (Country Party) candidates
DLP: numeric, percent of first preference votes cast for Democratic Labor Party candidates
Dem: numeric, percent of first preference votes cast for Australian Democrat candidates
Green: numeric, percent of first preference votes cast for Green Party candidates
Hanson: numeric, percent of first preference votes cast for candidates from Pauline Hanson's One Nation party
Com: numeric, percent of first preference votes cast for Communist Party candidates
AP: numeric, percent of first preference votes cast for Australia Party candidates
Informal: numeric, percent of ballots cast that are spoiled, blank, or otherwise uncountable (usually because of errors in enumerating preferences)
Turnout: numeric, percent of enrolled voters recorded as having turned out to vote (Australia has compulsory voting)

Source

Australian Electoral Commission. http://www.aec.gov.au.

References

Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey. Example 3.5.

Examples

data(AustralianElections)
attach(AustralianElections)
alpSeatShare <- ALPSeats/Seats
alpVoteShare <- ALP2PP/100## log-odds transforms
x <- log(alpVoteShare/(1-alpVoteShare))
y <- log(alpSeatShare/(1-alpSeatShare))ols <- lm(y~x) ## Tufte-style seats-votes regressionxseq <- seq(-4.5,4.5,length=500)
yhat <- coef(ols)[1] + coef(ols)[2]*xseq
yhat <- exp(yhat)/(1+exp(yhat))
xseq <- exp(xseq)/(1+exp(xseq))## seats vote curve
plot(x=alpVoteShare,
 y=alpSeatShare,
 xlab="ALP Vote Share",
 ylab="ALP Seat Share")
lines(xseq,yhat,lwd=2)
abline(h=.5,lty=2)
abline(v=.5,lty=2)

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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