R Dataset / Package boot / aircondit7

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-boot-aircondit7.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-55594.csv 82 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 aircondit7 data set which pertains to Failures of Air-conditioning Equipment. The aircondit7 data set is found in the boot R package. You can load the aircondit7 data set in R by issuing the following command at the console data("aircondit7"). This will load the data into a variable called aircondit7. If R says the aircondit7 data set is not found, you can try installing the package by issuing this command install.packages("boot") 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 aircondit7 R data set. The size of this file is about 82 bytes.

Documentation

Failures of Air-conditioning Equipment

Description

Proschan (1963) reported on the times between failures of the air-conditioning equipment in 10 Boeing 720 aircraft. The aircondit data frame contains the intervals for the ninth aircraft while aircondit7 contains those for the seventh aircraft.

Both data frames have just one column. Note that the data have been sorted into increasing order.

Usage

aircondit

Format

The data frames contain the following column:

hours

The time interval in hours between successive failures of the air-conditioning equipment

Source

The data were taken from

Cox, D.R. and Snell, E.J. (1981) Applied Statistics: Principles and Examples. Chapman and Hall.

References

Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.

Proschan, F. (1963) Theoretical explanation of observed decreasing failure rate. Technometrics, 5, 375-383.

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