R Dataset / Package Zelig / mid

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-mid.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-41673.csv 98.79 KB
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 mid data set which pertains to Militarized Interstate Disputes. The mid data set is found in the Zelig R package. You can load the mid data set in R by issuing the following command at the console data("mid"). This will load the data into a variable called mid. If R says the mid 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 mid R data set. The size of this file is about 101,163 bytes.

Documentation

Militarized Interstate Disputes

Description

A small sample from the militarized interstate disputes (MID) database.

Usage

data(mid)

Format

A table containing 6 variables ("conflict", "major", "contig", "power", "maxdem", "mindem", and "years") and 3,126 observations. For full variable descriptions, please see King and Zeng, 2001.

Source

Militarized Interstate Disputes database

References

King, Gary, and Lanche Zeng (2001). “Explaining Rare Events in International Relations,” International Organization, vol. 55, no. 3, pp. 693-715.

Jones, Daniel M., Stuart A. Bremer and David Singer (1996). “Militarized Interstate Disputes, 1816-1992: Rationale, Coding Rules, and Empirical Patterns,” Conflict Management and Peace Science, vol. 15, no. 2, pp. 163-213.

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

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