R Dataset / Package pscl / AustralianElectionPolling
On this R-data statistics page, you will find information about the AustralianElectionPolling data set which pertains to Political opinion polls in Australia, 2004-07. The AustralianElectionPolling data set is found in the pscl R package. You can load the AustralianElectionPolling data set in R by issuing the following command at the console data("AustralianElectionPolling"). This will load the data into a variable called AustralianElectionPolling. If R says the AustralianElectionPolling 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 AustralianElectionPolling R data set. The size of this file is about 26,888 bytes.
Political opinion polls in Australia, 2004-07
Description
The results of 239 published opinion polls measuring vote intentions (1st preference vote intention in a House of Representatives election) between the 2004 and 2007 Australian Federal elections, from 4 survey houses.
Usage
data(AustralianElectionPolling)
Format
A data frame with 239 observations on the following 14 variables.
ALP
-
a numeric vector, percentage of respondents reported as intending to vote for the Australian Labor Party
Lib
-
a numeric vector, percentage of respondents reported as intending to vote for the Liberal Party
Nat
-
a numeric vector, percentage of respondents reported as intending to vote for the National Party
Green
-
a numeric vector, percentage of respondents reported as intending to vote for the Greens
FamilyFirst
-
a numeric vector, percentage of respondents reported as intending to vote for the Family First party
Dems
-
a numeric vector, percentage of respondents reported as intending to vote for the Australian Democrats
OneNation
-
a numeric vector, percentage of respondents reported as intending to vote for One Nation
DK
-
a numeric vector, percentage of respondents reported as expressing no preference or a “don't know” response
sampleSize
-
a numeric vector, reported sample size of the poll
org
-
a factor with levels
Galaxy
,Morgan, F2F
,Newspoll
,Nielsen
andMorgan, Phone
, indicating the survey house and/or mode of the poll startDate
-
a Date, reported start of the field period
endDate
-
a Date, reported end of the field period
source
-
a character vector, source of the poll report
remark
-
a character vector, remarks noted by author and/or research assistant coders
Details
Morgan uses two modes: phone and face-to-face.
The 2004 Australian election was on October 9; the ALP won 37.6% of the 1st preferences cast in elections for the House of Representatives. The ALP won the 2007 election (November 24) with 43.4% of 1st preferences.
The ALP changed leaders twice in the 2004-07 inter-election period spanned by these data: (1) Mark Latham resigned the ALP leadership on January 18 2005 and was replaced by Kim Beazley; (2) Beazley lost the ALP leadership to Kevin Rudd on December 4, 2006.
The then Prime Minister, John Howard, announced the November 2007 election on October 14, 2007.
Source
See the source
variable. Andrea Abel assisted with the data collection.
References
Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey. Example 9.3.
Examples
data(AustralianElectionPolling) lattice::xyplot(ALP ~ startDate | org, data=AustralianElectionPolling, layout=c(1,5), type="b", xlab="Start Date", ylab="ALP")## test for house effects y <- AustralianElectionPolling$ALP/100 v <- y*(1-y)/AustralianElectionPolling$sampleSize w <- 1/v m1 <- mgcv::gam(y ~ s(as.numeric(startDate)), weight=w, data=AustralianElectionPolling) m2 <- update(m1, ~ . + org) anova(m1,m2)
Dataset imported from https://www.r-project.org.