R Dataset / Package Zelig / PErisk

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Ratio

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Regression

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Stem and Leaf Plots

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-zelig-perisk.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-62632.csv 2.77 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the PErisk data set which pertains to Political Economic Risk Data from 62 Countries in 1987. The PErisk data set is found in the Zelig R package. Try to load the PErisk data set in R by issuing the following command at the console data("PErisk"). This may load the data into a variable called PErisk. If R says the PErisk data set is not found, you can try installing the package by issuing this command install.packages("Zelig") and then attempt to reload the data with library("Zelig") followed by data("PErisk"). 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 PErisk 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 PErisk R data set. The size of this file is about 2,835 bytes.


Political Economic Risk Data from 62 Countries in 1987

Description

Political Economic Risk Data from 62 Countries in 1987.

Usage

data(PErisk)

Format

A data frame with 62 observations on the following 6 variables. All data points are from 1987. See Quinn (2004) for more details.

country: a factor with levels 'Argentina' 'Australia' 'Austria' 'Bangladesh' 'Belgium' 'Bolivia' 'Botswana' 'Brazil' 'Burma' 'Cameroon' 'Canada' 'Chile' 'Colombia' 'Congo-Kinshasa' 'Costa Rica' 'Cote d'Ivoire' 'Denmark' 'Dominican Republic' 'Ecuador' 'Finland' 'Gambia, The' 'Ghana' 'Greece' 'Hungary' 'India' 'Indonesia' 'Iran' 'Ireland' 'Israel' 'Italy' 'Japan' 'Kenya' 'Korea, South' 'Malawi' 'Malaysia' 'Mexico' 'Morocco' 'New Zealand' 'Nigeria' 'Norway' 'Papua New Guinea' 'Paraguay' 'Philippines' 'Poland' 'Portugal' 'Sierra Leone' 'Singapore' 'South Africa' 'Spain' 'Sri Lanka' 'Sweden' 'Switzerland' 'Syria' 'Thailand' 'Togo' 'Tunisia' 'Turkey' 'United Kingdom' 'Uruguay' 'Venezuela' 'Zambia' 'Zimbabwe'

courts: an ordered factor with levels '0' < '1'.'courts' is an indicator of whether the country in question is judged to have an independent judiciary. From Henisz (2002).

barb2: a numeric vector giving the natural log of the black market premium in each country. The black market premium is coded as the black market exchange rate (local currency per dollar) divided by the official exchange rate minus 1. From Marshall, Gurr, and Harff (2002).

prsexp2: an ordered factor with levels '0' < '1' < '2' < '3' < '4' < '5', giving the lack of expropriation risk. From Marshall, Gurr, and Harff (2002).

prscorr2: an ordered factor with levels '0' < '1' < '2' < '3' < '4' < '5', measuring the lack of corruption. From Marshall, Gurr, and Harff (2002).

gdpw2: a numeric vector giving the natural log of real GDP per worker in 1985 international prices. From Alvarez et al. (1999).

Source

Mike Alvarez, Jose Antonio Cheibub, Fernando Limongi, and Adam Przeworski. 1999. “ACLP Political and Economic Database.” <URL: http://www.ssc.upenn.edu/~cheibub/data/&gt;.

Witold J. Henisz. 2002. “The Political Constraint Index (POLCON) Dataset.” \ <URL: http://www-management.wharton.upenn.edu/henisz/POLCON/ContactInfo. html>.

Monty G. Marshall, Ted Robert Gurr, and Barbara Harff. 2002. “State Failure Task Force Problem Set.” <URL: http://www.cidcm.umd.edu/inscr/stfail/index.htm&gt;.

References

Kevin M. Quinn. 2004. “Bayesian Factor Analysis for Mixed Ordinal and Continuous Response.” Political Analyis. Vol. 12, pp.338–353. 

--

Dataset imported from https://www.r-project.org.
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