Employment: Employment Status

In vcd: Visualizing Categorical Data

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 view

grid.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)

vcd documentation built on Sept. 17, 2024, 1:08 a.m.