R Dataset / Package DAAG / orings

Attachment Size
dataset-87463.csv 248 bytes
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 orings data set which pertains to Challenger O-rings Data. The orings data set is found in the DAAG R package. You can load the orings data set in R by issuing the following command at the console data("orings"). This will load the data into a variable called orings. If R says the orings data set is not found, you can try installing the package by issuing this command install.packages("DAAG") 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 orings R data set. The size of this file is about 248 bytes.


Challenger O-rings Data

Description

Record of the number and type of O-ring failures prior to the tragic Challenger mission in January, 1986.

Usage

orings

Format

This data frame contains the following columns:

Temperature

O-ring temperature for each test firing or actual launch of the shuttle rocket engine

Erosion

Number of erosion incidents

Blowby

Number of blowby incidents

Total

Total number of incidents

Source

Presidential Commission on the Space Shuttle Challenger Accident, Vol. 1, 1986: 129-131.

References

Tufte, E. R. 1997. Visual Explanations. Graphics Press, Cheshire, Connecticut, U.S.A.

Examples

oldpar <- par(mfrow=c(1,2))
plot(Total~Temperature, data = orings[c(1,2,4,11,13,18),]) # the 
               # observations included in the pre-launch charts
plot(Total~Temperature, data = orings)
par(oldpar)
--

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

Title Authored on Content type
OpenIntro Statistics Dataset - dream August 9, 2020 - 12:25 PM Dataset
OpenIntro Statistics Dataset - winery_cars August 9, 2020 - 2:38 PM Dataset
R Dataset / Package HSAUR / toothpaste March 9, 2018 - 1:06 PM Dataset
R Dataset / Package HSAUR / pottery March 9, 2018 - 1:06 PM Dataset
R Dataset / Package HistData / Guerry March 9, 2018 - 1:06 PM Dataset