R Dataset / Package vcd / JobSatisfaction

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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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-vcd-jobsatisfaction.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-64351.csv 222 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 JobSatisfaction data set which pertains to Job Satisfaction Data. The JobSatisfaction data set is found in the vcd R package. Try to load the JobSatisfaction data set in R by issuing the following command at the console data("JobSatisfaction"). This may load the data into a variable called JobSatisfaction. If R says the JobSatisfaction 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("JobSatisfaction"). 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 JobSatisfaction 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 JobSatisfaction R data set. The size of this file is about 222 bytes.


Job Satisfaction Data

Description

Data from Petersen (1968) about the job satisfaction of 715 blue collar workers, selected from Danish Industry in 1968.

Usage

data("JobSatisfaction")

Format

A data frame with 8 observations and 4 variables.

Freq

frequency.

management

factor indicating quality of management (bad, good).

supervisor

factor indicating supervisor's job satisfaction (low, high).

own

factor indicating worker's own job satisfaction (low, high).

Source

E. B. Andersen (1991), The Statistical Analysis of Categorical Data, Table 5.4.

References

E. B. Andersen (1991), The Statistical Analysis of Categorical Data. 2nd edition. Springer-Verlag, Berlin.

E. Petersen (1968), Job Satisfaction in Denmark. (In Danish). Mentalhygiejnisk Forlag, Copenhagen.

Examples

data("JobSatisfaction")
structable(~ ., data = JobSatisfaction)mantelhaen.test(xtabs(Freq ~ own + supervisor + management,
                      data = JobSatisfaction))
--

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