wagnerGrowth {robustbase} | R Documentation

## Wagner's Hannover Employment Growth Data

### Description

Wagner (1994) investigates the rate of employment growth (`y`) as function of percentage of people engaged in producation activities (`PA`) and higher services (`HS`) and of the growth of these percentages (`GPA`, `GHS`) during three time periods in 21 geographical regions of the greater Hannover area.

### Usage

    data(wagnerGrowth)

### Format

A data frame with 21 * 3 = 63 observations (one per `Region x Period`) on the following 7 variables.

`Region`

  a `factor` with 21 levels, denoting the corresponding region in Hannover (conceptually a “block factor”).

`PA`

  numeric: percent of people involved in production activities.

`GPA`

  growth of `PA`.

`HS`

  a numeric vector

`GHS`

  a numeric vector

`y`

  a numeric vector

`Period`

  a `factor` with levels `1:3`, denoting the time period, 1 = 1979-1982, 2 = 1983-1988, 3 = 1989-1992.

### Source

Hubert, M. and Rousseeuw, P. J. (1997). Robust regression with both continuous and binary regressors, Journal of Statistical Planning and Inference 57, 153–163.

### References

Wagner J. (1994). Regionale Beschäftigungsdynamik und höherwertige Produktionsdienste: Ergebnisse für den Grossraum Hannover (1979-1992). Raumforschung und Raumordnung 52, 146–150.

### Examples

    data(wagnerGrowth)
    ## maybe
    str(wagnerGrowth)

    require(lattice)
    (xyplot(y ~ Period | Region, data = wagnerGrowth,
             main = "wagnerGrowth: 21 regions @ Hannover"))

    (dotplot(y ~ reorder(Region,y,median), data = wagnerGrowth,
             main = "wagnerGrowth",
             xlab = "Region [ordered by  median(y | Region) ]"))

[Package robustbase version 0.92-8 Index]