R Dataset / Package multgee / 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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Pie Chart

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Plot

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Regression

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Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-multgee-arthritis.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-38817.csv 14.79 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 Rheumatoid Arthritis Clinical Trial. The arthritis data set is found in the multgee 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("multgee") 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 15,141 bytes.

Documentation

Rheumatoid Arthritis Clinical Trial

Description

Rheumatoid self-assessment scores for 302 patients, measured on a five-level ordinal response scale at three follow-up times.

Usage

data(arthritis)

Format

A data frame with 906 observations on the following 7 variables:

id

Patient identifier variable.

y

Self-assessment score of rheumatoid arthritis measured on a five-level ordinal response scale.

sex

Coded as (1) for female and (2) for male.

age

Recorded at the baseline.

trt

Treatment group variable, coded as (1) for the placebo group and (2) for the drug group.

baseline

Self-assessment score of rheumatoid arthritis at the baseline.

time

Follow-up time recorded in months.

Source

Lipsitz, S.R. and Kim, K. and Zhao, L. (1994) Analysis of repeated categorical data using generalized estimating equations. Statistics in Medicine, 13, 1149–1163.

Examples

data(arthritis)
str(arthritis)
--

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

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