R Dataset / Package KMsurv / burn

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

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-kmsurv-burn.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-98917.csv 6.12 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 burn data set which pertains to data from Section 1.6. The burn data set is found in the KMsurv R package. You can load the burn data set in R by issuing the following command at the console data("burn"). This will load the data into a variable called burn. If R says the burn data set is not found, you can try installing the package by issuing this command install.packages("KMsurv") 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 burn R data set. The size of this file is about 6,267 bytes.

Documentation

data from Section 1.6

Description

The burn data frame has 154 rows and 17 columns.

Format

This data frame contains the following columns:

Obs

Observation number

Z1

Treatment: 0-routine bathing 1-Body cleansing

Z2

Gender (0=male 1=female)

Z3

Race: 0=nonwhite 1=white

Z4

Percentage of total surface area burned

Z5

Burn site indicator: head 1=yes, 0=no

Z6

Burn site indicator: buttock 1=yes, 0=no

Z7

Burn site indicator: trunk 1=yes, 0=no

Z8

Burn site indicator: upper leg 1=yes, 0=no

Z9

Burn site indicator: lower leg 1=yes, 0=no

Z10

Burn site indicator: respiratory tract 1=yes, 0=no

Z11

Type of burn: 1=chemical, 2=scald, 3=electric, 4=flame

T1

Time to excision or on study time

D1

Excision indicator: 1=yes 0=no

T2

Time to prophylactic antibiotic treatment or on study time

D2

Prophylactic antibiotic treatment: 1=yes 0=no

T3

Time to straphylocous aureaus infection or on study time

D3

Straphylocous aureaus infection: 1=yes 0=no

Source

Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Ichida et al. Stat. Med. 12 (1993): 301-310.

Examples

data(burn)
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Dataset imported from https://www.r-project.org.

R Output Date
Picostat Output - Bivariate Plot May 28, 2020