Description Usage Format Note Source References Examples

Aggregate data on the 24 elections to Australia's House of Representatives, 1949 to 2016.

1 |

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)

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.

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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)
``` |

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