R Dataset / Package vcd / SpaceShuttle
On this Picostat.com statistics page, you will find information about the SpaceShuttle data set which pertains to Space Shuttle O-ring Failures. The SpaceShuttle data set is found in the vcd R package. Try to load the SpaceShuttle data set in R by issuing the following command at the console data("SpaceShuttle"). This may load the data into a variable called SpaceShuttle. If R says the SpaceShuttle data set is not found, you can try installing the package by issuing this command install.packages("vcd") and then attempt to reload the data with library("vcd") followed by data("SpaceShuttle"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing SpaceShuttle at the command-line which should display the entire dataset.
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 SpaceShuttle R data set. The size of this file is about 578 bytes.
Space Shuttle O-ring Failures
Data from Dalal et al. (1989) about O-ring failures in the NASA space shuttle program. The damage index comes from a discussion of the data by Tufte (1997).
A data frame with 24 observations and 6 variables.
Michael Friendly (2000), Visualizing Categorical Data: http://euclid.psych.yorku.ca/ftp/sas/vcd/catdata/orings.sas
S. Dalal, E. B. Fowlkes, B. Hoadly (1989), Risk analysis of the space shuttle: Pre-Challenger prediction of failure, Journal of the American Statistical Association, 84, 945–957.
E. R. Tufte (1997), Visual Explanations: Images and Quantities, Evidence and Narrative. Graphics Press, Cheshire, CT.
M. Friendly (2000), Visualizing Categorical Data. SAS Institute, Cary, NC.
data("SpaceShuttle") plot(nFailures/6 ~ Temperature, data = SpaceShuttle, xlim = c(30, 81), ylim = c(0,1), main = "NASA Space Shuttle O-Ring Failures", ylab = "Estimated failure probability", pch = 19, col = 4) fm <- glm(cbind(nFailures, 6 - nFailures) ~ Temperature, data = SpaceShuttle, family = binomial) lines(30 : 81, predict(fm, data.frame(Temperature = 30 : 81), type = "re"), lwd = 2) abline(v = 31, lty = 3)
Dataset imported from https://www.r-project.org.
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