R Dataset / Package vcd / Federalist

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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Numerical Summaries

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Pie Chart

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Plot

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Regression

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-vcd-federalist.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-66982.csv 60 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 Federalist data set which pertains to ‘May’ in Federalist Papers. The Federalist data set is found in the vcd R package. You can load the Federalist data set in R by issuing the following command at the console data("Federalist"). This will load the data into a variable called Federalist. If R says the Federalist data set is not found, you can try installing the package by issuing this command install.packages("vcd") 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 Federalist R data set. The size of this file is about 60 bytes.

Documentation

‘May’ in Federalist Papers

Description

Data from Mosteller & Wallace (1984) investigating the use of certain keywords (‘may’ in this data set) to identify the author of 12 disputed ‘Federalist Papers’ by Alexander Hamilton, John Jay and James Madison.

Usage

data("Federalist")

Format

A 1-way table giving the number of occurrences of ‘may’ in 262 blocks of text. The variable and its levels are

No Name Levels
1 nMay 0, 1, ..., 6

Source

Michael Friendly (2000), Visualizing Categorical Data, page 19.

References

F. Mosteller & D. L. Wallace (1984), Applied Bayesian and Classical Inference: The Case of the Federalist Papers. Springer-Verlag, New York, NY.

M. Friendly (2000), Visualizing Categorical Data. SAS Institute, Cary, NC.

Examples

data("Federalist")
gf <- goodfit(Federalist, type = "nbinomial")
summary(gf)
plot(gf)
--

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

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