R Dataset / Package vcd / Arthritis

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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Plot

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Regression

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-vcd-arthritis.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-54845.csv 2.66 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Arthritis data set which pertains to Arthritis Treatment Data. The Arthritis data set is found in the vcd R package. You can load the Arthritis data set in R by issuing the following command at the console data("Arthritis"). This will load the data into a variable called Arthritis. If R says the Arthritis 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. 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 Arthritis R data set. The size of this file is about 2,725 bytes.

Documentation

Arthritis Treatment Data

Description

Data from Koch \& Edwards (1988) from a double-blind clinical trial investigating a new treatment for rheumatoid arthritis.

Usage

data("Arthritis")

Format

A data frame with 84 observations and 5 variables.

ID

patient ID.

Treatment

factor indicating treatment (Placebo, Treated).

Sex

factor indicating sex (Female, Male).

Age

age of patient.

Improved

ordered factor indicating treatment outcome (None, Some, Marked).

Source

Michael Friendly (2000), Visualizing Categorical Data: http://euclid.psych.yorku.ca/ftp/sas/vcd/catdata/arthrit.sas

References

G. Koch \& S. Edwards (1988), Clinical efficiency trials with categorical data. In K. E. Peace (ed.), Biopharmaceutical Statistics for Drug Development, 403–451. Marcel Dekker, New York.

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

Examples

data("Arthritis")
art <- xtabs(~ Treatment + Improved, data = Arthritis, subset = Sex == "Female")
artmosaic(art, gp = shading_Friendly)
mosaic(art, gp = shading_max)
--

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

R Output Date
Picostat Output - Boxplot May 5, 2020
Picostat Output - Boxplot May 5, 2020