R Dataset / Package robustbase / wagnerGrowth

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-95527.csv 2.23 KB
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 wagnerGrowth data set which pertains to Wagner's Hannover Employment Growth Data. The wagnerGrowth data set is found in the robustbase R package. Try to load the wagnerGrowth data set in R by issuing the following command at the console data("wagnerGrowth"). This may load the data into a variable called wagnerGrowth. If R says the wagnerGrowth data set is not found, you can try installing the package by issuing this command install.packages("robustbase") and then attempt to reload the data with library("robustbase") followed by data("wagnerGrowth"). 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 wagnerGrowth 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 wagnerGrowth R data set. The size of this file is about 2,284 bytes.


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) ]"))

--

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