R Dataset / Package vcd / WomenQueue

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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<iframe src="https://embed.picostat.com/r-dataset-package-vcd-womenqueue.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-67724.csv 87 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 WomenQueue data set which pertains to Women in Queues. The WomenQueue data set is found in the vcd R package. Try to load the WomenQueue data set in R by issuing the following command at the console data("WomenQueue"). This may load the data into a variable called WomenQueue. If R says the WomenQueue 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("WomenQueue"). 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 WomenQueue 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 WomenQueue R data set. The size of this file is about 87 bytes.


Women in Queues

Description

Data from Jinkinson \& Slater (1981) and Hoaglin \& Tukey (1985) reporting the frequency distribution of females in 100 queues of length 10 in a London Underground station.

Usage

data("WomenQueue")

Format

A 1-way table giving the number of women in 100 queues of length 10. The variable and its levels are

No Name Levels
1 nWomen 0, 1, ..., 10

Source

M. Friendly (2000), Visualizing Categorical Data, pages 19–20.

References

D. C. Hoaglin \& J. W. Tukey (1985), Checking the shape of discrete distributions. In D. C. Hoaglin, F. Mosteller, J. W. Tukey (eds.), Exploring Data Tables, Trends and Shapes, chapter 9. John Wiley \& Sons, New York.

R. A. Jinkinson \& M. Slater (1981), Critical discussion of a graphical method for identifying discrete distributions, The Statistician, 30, 239–248.

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

Examples

data("WomenQueue")
gf <- goodfit(WomenQueue, type = "binomial")
summary(gf)
plot(gf)

--

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