R Dataset / Package Stat2Data / ICU

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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Correlation Coefficient

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Plot

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Regression

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<iframe src="https://embed.picostat.com/r-dataset-package-stat2data-icu.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-31811.csv 4.8 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 ICU data set which pertains to ICU. The ICU data set is found in the Stat2Data R package. You can load the ICU data set in R by issuing the following command at the console data("ICU"). This will load the data into a variable called ICU. If R says the ICU data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") 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 ICU R data set. The size of this file is about 4,919 bytes.

Documentation

ICU

Description

Patients at an Intensive Care Unit (ICU)

Format

A dataset with 200 observations on the following 9 variables.

ID Patient ID code
Survive 1=patient survived to discharge or 0=patient died
Age Age (in years)
AgeGroup 1= young (under 50), 2= middle (50-69), 3 = old (70+)
Sex 1=female or 0=male
Infection 1=infection suspected or 0=no infection
SysBP Systolic blood pressure (in mm of Hg)
Pulse Hear rate4 (beats per minute)
Emergency 1=emergency admission or 0=elective admission

Details

This dataset contains information for a sample of 200 patients who were part of a larger study conducted in a hospital's Intensive Care Unit (ICU). Since an ICU often deals with serious, life-threatening cases, a key variable to study is patient survival, which is coded in the Survive variable as 1 if the patient lived to be discharged and 0 if the patient died.

Source

Data downladed from The Data and Story Library (DASL), http://lib.stat.cmu.edu/DASL/Datafiles/ICU.html.

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

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