R Dataset / Package geepack / ohio

How To Create a Barplot

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Visual
Instructional

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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Numerical
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How To Create a Plot

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How to Compute the Median

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Numerical

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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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-geepack-ohio.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-61972.csv 21.62 KB
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 ohio data set which pertains to Ohio Children Wheeze Status. The ohio data set is found in the geepack R package. You can load the ohio data set in R by issuing the following command at the console data("ohio"). This will load the data into a variable called ohio. If R says the ohio data set is not found, you can try installing the package by issuing this command install.packages("geepack") 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 ohio R data set. The size of this file is about 22,140 bytes.


Ohio Children Wheeze Status

Description

The ohio data frame has 2148 rows and 4 columns. The dataset is a subset of the six-city study, a longitudinal study of the health effects of air pollution.

Usage

data(ohio)

Format

This data frame contains the following columns:

resp

an indicator of wheeze status (1=yes, 0=no)

id

a numeric vector for subject id

age

a numeric vector of age, 0 is 9 years old

smoke

an indicator of maternal smoking at the first year of the study

References

Fitzmaurice, G.M. and Laird, N.M. (1993) A likelihood-based method for analyzing longitudinal binary responses, Biometrika 80: 141–151.

Examples

data(ohio)
fit <- geese(resp ~ age + smoke + age:smoke, id=id, data=ohio,
             family=binomial, corstr="exch", scale.fix=TRUE)
summary(fit)
fit.ar1 <- geese(resp ~ age + smoke + age:smoke, id=id, data=ohio,
                 family=binomial, corstr="ar1", scale.fix=TRUE)
summary(fit.ar1)

--

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