R Dataset / Package pscl / unionDensity
| Attachment | Size |
|---|---|
| dataset-39173.csv | 805 bytes |
| Documentation |
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On this Picostat.com statistics page, you will find information about the unionDensity data set which pertains to cross national rates of trade union density. The unionDensity data set is found in the pscl R package. Try to load the unionDensity data set in R by issuing the following command at the console data("unionDensity"). This may load the data into a variable called unionDensity. If R says the unionDensity 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("unionDensity"). 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 unionDensity 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 unionDensity R data set. The size of this file is about 805 bytes. cross national rates of trade union densityDescriptionCross-national data on relative size of the trade unions and predictors, in 20 countries. Two of the predictors are highly collinear, and are the source of a debate between Stephens and Wallerstein (1991), later reviewed by Western and Jackman (1994). Usagedata(unionDensity) Format
SourcePryor, Frederic. 1973. Property and Industrial Organization in Communist and Capitalist Countries. Bloomington: Indiana University Press. Stephens, John and Michael Wallerstein. 1991. Industrial Concentration, Country Size and Trade Union Membership. American Political Science Review 85:941-953. Western, Bruce and Simon Jackman. 1994. Bayesian Inference for Comparative Research. American Political Science Review 88:412-423. Wilensky, Harold L. 1981. Leftism, Catholicism, Democratic Corporatism: The Role of Political Parties in Recemt Welfare State Development. In The Development of Welfare States in Europe and America, ed. Peter Flora and Arnold J. Heidenheimer. New Brunswick: Transaction Books. ReferencesJackman, Simon. 2009. Bayesian Analysis for the Social Sciences. Wiley: Hoboken, New Jersey. Examples
data(unionDensity)
summary(unionDensity)
pairs(unionDensity,
labels=c("Union\nDensity",
"Left\nGovernment",
"log Size of\nLabor Force",
"Economic\nConcentration"),
lower.panel=function(x,y,digits=2){
r <- cor(x,y)
par(usr=c(0,1,0,1))
text(.5,.5,
format(c(r,0.123456789),digits=digits)[1],
cex=1.5)
}
)
ols <- lm(union ~ left + size + concen,
data=unionDensity)
summary(ols)
-- Dataset imported from https://www.r-project.org. |
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