R Dataset / Package vcd / SexualFun

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-sexualfun.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-60908.csv 131 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 SexualFun data set which pertains to Sex is Fun. The SexualFun data set is found in the vcd R package. Try to load the SexualFun data set in R by issuing the following command at the console data("SexualFun"). This may load the data into a variable called SexualFun. If R says the SexualFun 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("SexualFun"). 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 SexualFun 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 SexualFun R data set. The size of this file is about 131 bytes.


Sex is Fun

Description

Data from Hout et al. (1987) given by Agresti (1990) summarizing the responses of married couples to the questionnaire item: Sex is fun for me and my partner: (a) never or occasionally, (b) fairly often, (c) very often, (d) almost always.

Usage

data("SexualFun")

Format

A 2-dimensional array resulting from cross-tabulating the ratings of 91 married couples. The variables and their levels are as follows:

No Name Levels
1 Husband Never Fun, Fairly Often, Very Often, Always Fun
2 Wife Never Fun, Fairly Often, Very Often, Always Fun

Source

M. Friendly (2000), Visualizing Categorical Data, page 91.

References

A. Agresti (1990), Categorical Data Analysis. Wiley-Interscience, New York.

M. Hout, O. D. Duncan, M. E. Sobel (1987), Association and heterogeneity: Structural models of similarities and differences, Sociological Methodology, 17, 145-184.

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

Examples

data("SexualFun")## Kappa statistics
Kappa(SexualFun)## Agreement Chart
agreementplot(t(SexualFun), weights = 1)
## Partial Agreement Chart and B-Statistics
agreementplot(t(SexualFun),
              xlab = "Husband's Rating",
              ylab = "Wife's Rating",
              main = "Husband's and Wife's Sexual Fun")

--

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