R Dataset / Package vcd / Employment

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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Attachment Size
dataset-51322.csv 836 bytes
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 Employment data set which pertains to Employment Status. The Employment data set is found in the vcd R package. Try to load the Employment data set in R by issuing the following command at the console data("Employment"). This may load the data into a variable called Employment. If R says the Employment 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 with library("vcd") followed by data("Employment"). 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 Employment 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 Employment R data set. The size of this file is about 836 bytes.


Employment Status

Description

Data from a 1974 Danish study given by Andersen (1991) on the employees who had been laid off. The workers are classified by their employment status on 1975-01-01, the cause of their layoff and the length of employment before they were laid off.

Usage

data("Employment")

Format

A 3-dimensional array resulting from cross-tabulating variables for 1314 employees. The variables and their levels are as follows:

No Name Levels
1 EmploymentStatus NewJob, Unemployed
2 EmploymentLength <1Mo, 1-3Mo, 3-12Mo, 1-2Yr, 2-5Yr, >5Yr
3 LayoffCause Closure, Replaced

Source

Michael Friendly (2000), Visualizing Categorical Data, pages 126–129.

References

E. B. Andersen (1991), The Statistical Analysis of Categorical Data. Springer-Verlag, Berlin.

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

Examples

data("Employment")## Employment Status
mosaic(Employment,
       expected = ~ LayoffCause * EmploymentLength + EmploymentStatus,
       main = "Layoff*EmployLength + EmployStatus")mosaic(Employment,
       expected = ~ LayoffCause * EmploymentLength + LayoffCause * EmploymentStatus,
       main = "Layoff*EmployLength + Layoff*EmployStatus")## Stratified viewgrid.newpage()
pushViewport(viewport(layout = grid.layout(ncol = 2)))
pushViewport(viewport(layout.pos.col = 1))## Closure
mosaic(Employment[,,1], main = "Layoff: Closure", newpage = FALSE)popViewport(1)
pushViewport(viewport(layout.pos.col = 2))## Replaced
mosaic(Employment[,,2], main = "Layoff: Replaced", newpage = FALSE)
popViewport(2)

--

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