R Dataset / Package pscl / vote92
On this Picostat.com statistics page, you will find information about the vote92 data set which pertains to Reports of voting in the 1992 U.S. Presidential election.. The vote92 data set is found in the pscl R package. Try to load the vote92 data set in R by issuing the following command at the console data("vote92"). This may load the data into a variable called vote92. If R says the vote92 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 library("pscl") followed by data("vote92"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing vote92 at the command-line which should display the entire dataset.
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 vote92 R data set. The size of this file is about 36,852 bytes.
Reports of voting in the 1992 U.S. Presidential election.
Survey data containing self-reports of vote choice in the 1992 U.S. Presidential election, with numerous covariates, from the 1992 American National Election Studies.
A data frame with 909 observations on the following 10 variables.
These data are unweighted. Refer to the original data source for weights that purport to correct for non-representativeness and non-response.
Alvarez, R. Michael and Jonathan Nagler. 1995. Economics, issues and the Perot candidacy: Voter choice in the 1992 Presidential election. American Journal of Political Science. 39:714-44.
Miller, Warren E., Donald R. Kinder, Steven J. Rosenstone and the National Election Studies. 1999. National Election Studies, 1992: Pre-/Post-Election Study. Center for Political Studies, University of Michigan: Ann Arbor, Michigan.
Inter-University Consortium for Political and Social Research. Study Number 1112. http://dx.doi.org/10.3886/ICPSR01112.
Jackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey. Examples 8.7 and 8.8.
Dataset imported from https://www.r-project.org.
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