elections to Australian House of Representatives, 1949-2016
Aggregate data on the 24 elections to Australia's House of Representatives, 1949 to 2016.
data(AustralianElections)
A data frame with the following variables:
datedate of election, stored using the
Date class
Seatsnumeric, number of seats in the House of Representatives
Uncontestednumeric, number of uncontested seats
ALPSeatsnumeric, number of seats won by the Australian Labor Party
LPSeatsnumeric, number of seats won by the Liberal Party
NPSeatsnumeric, number of seats won by the National Party (previously known as the Country Party)
OtherSeatsnumeric, number of seats won by other parties and/or independent candidates
ALPnumeric, percentage of first preference votes cast for Australian Labor Party candidates
ALP2PPnumeric, percentage of the two-party preferred vote won by Australian Labor Party candidates
LPnumeric, percent of first preference votes cast for Liberal Party candidates
NPnumeric, percent of first preference votes cast for National Party (Country Party) candidates
DLPnumeric, percent of first preference votes cast for Democratic Labor Party candidates
Demnumeric, percent of first preference votes cast for Australian Democrat candidates
Greennumeric, percent of first preference votes cast for Green Party candidates
Hansonnumeric, percent of first preference votes cast for candidates from Pauline Hanson's One Nation party
Comnumeric, percent of first preference votes cast for Communist Party candidates
APnumeric, percent of first preference votes cast for Australia Party candidates
Informalnumeric, percent of ballots cast that are spoiled, blank, or otherwise uncountable (usually because of errors in enumerating preferences)
Turnoutnumeric, percent of enrolled voters recorded as having turned out to vote (Australia has compulsory voting)
The Liberal National Party of Queensland formed in 2008 after a merger of the Liberal Party and the National Party. In all elections following 2008, they have been categorised under LP.
Australian Electoral Commission. http://www.aec.gov.au.
Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey. Example 3.5.
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 regression
xseq <- 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.