AustralianElections | R Documentation |
Aggregate data on the 24 elections to Australia's House of Representatives, 1949 to 2016.
data(AustralianElections)
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. https://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)
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