R Dataset / Package survival / genfan

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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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-survival-genfan.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-66053.csv 437 bytes
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 genfan data set which pertains to Generator fans. The genfan data set is found in the survival R package. You can load the genfan data set in R by issuing the following command at the console data("genfan"). This will load the data into a variable called genfan. If R says the genfan data set is not found, you can try installing the package by issuing this command install.packages("survival") 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 genfan R data set. The size of this file is about 437 bytes.

Documentation

Generator fans

Description

The data come from a field engineering study of the time to failure of diesel generator fans. The ultimate goal was to decide whether or not to replace the working fans with a higher quality fan to prevent future failures. Seventy generators were studied. For each one, the number of hours of running time from its first being put into service until fan failure or until the end of the study(whichever came first) was recorded.

Usage

data("genfan")

Format

A data frame with 70 observations on the following 2 variables.

hours

hours of service

status

1=failure, 0=censored

References

Nelson, Journal of Quality Technology, 1:27-52, 1969

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

R Output Date
Picostat Output - Boxplot Jun 13, 2019