R Dataset / Package Zelig / bivariate

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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Regression

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-zelig-bivariate.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-59486.csv 966 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the bivariate data set which pertains to Sample data for bivariate probit regression. The bivariate data set is found in the Zelig R package. You can load the bivariate data set in R by issuing the following command at the console data("bivariate"). This will load the data into a variable called bivariate. If R says the bivariate 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. 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 bivariate R data set. The size of this file is about 966 bytes.

Documentation

Sample data for bivariate probit regression

Description

Sample data for the bivariate probit regression.

Usage

data(bivariate)

Format

A table containing 6 variables ("y1", "y2", "x1", "x2", "x3", and "x4") and 78 observations.

Source

This is a cleaned and relabelled version of the sanction data set, available in Zelig.

References

Martin, Lisa (1992). Coercive Cooperation: Explaining Multilateral Economic Sanctions, Princeton: Princeton University Press.

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

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