R Dataset / Package robustbase / CrohnD

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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Visual
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How to Compute the Median

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Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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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

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-robustbase-crohnd.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-21590.csv 4.59 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 CrohnD data set which pertains to Crohn's Disease Adverse Events Data. The CrohnD data set is found in the robustbase R package. You can load the CrohnD data set in R by issuing the following command at the console data("CrohnD"). This will load the data into a variable called CrohnD. If R says the CrohnD data set is not found, you can try installing the package by issuing this command install.packages("robustbase") 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 CrohnD R data set. The size of this file is about 4,700 bytes.


Crohn's Disease Adverse Events Data

Description

Data set issued from a study of the adverse events of a drug on 117 patients affected by Crohn's disease (a chronic inflammatory disease of the intestines).

Usage

data(CrohnD)

Format

A data frame with 117 observations on the following 9 variables.

ID

the numeric patient IDs

nrAdvE

the number of adverse events

BMI

Body MASS Index, i.e., weight[kg] / (height[m])^2.

height

in cm

country

a factor with levels 0 and 1

sex

the person's gender, a binary factor with levels M F

age

in years, a numeric vector

weight

in kilograms, a numeric vector

treat

how CD was treated: a factor with levels 0, 1 and 2, meaning placebo, drug 1 and drug 2.

Source

form the authors of the reference, with permission by the original data collecting agency.

References

Serigne N. Lô and Elvezio Ronchetti (2006). Robust Second Order Accurate Inference for Generalized Linear Models. Technical report, University of Geneva, Switzerland.

Examples

data(CrohnD)
str(CrohnD)
with(CrohnD, ftable(table(sex,country, treat)))

--

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