R Dataset / Package vcd / Saxony

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

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-vcd-saxony.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-71157.csv 120 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 Saxony data set which pertains to Families in Saxony. The Saxony data set is found in the vcd R package. You can load the Saxony data set in R by issuing the following command at the console data("Saxony"). This will load the data into a variable called Saxony. If R says the Saxony 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 Saxony R data set. The size of this file is about 120 bytes.

Documentation

Families in Saxony

Description

Data from Geissler, cited in Sokal & Rohlf (1969) and Lindsey (1995) on gender distributions in families in Saxony in the 19th century.

Usage

data("Saxony")

Format

A 1-way table giving the number of male children in 6115 families of size 12. The variable and its levels are

No Name Levels
1 nMales 0, 1, ..., 12

Source

M. Friendly (2000), Visualizing Categorical Data, pages 40–42.

References

J. K. Lindsey (1995), Analysis of Frequency and Count Data. Oxford University Press, Oxford, UK.

R. R. Sokal & F. J. Rohlf (1969), Biometry. The Principles and Practice of Statistics. W. H. Freeman, San Francisco, CA.

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

Examples

data("Saxony")
gf <- goodfit(Saxony, type = "binomial")
summary(gf)
plot(gf)
--

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

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