| orings | R Documentation |
On January 28, 1986, a routine launch was anticipated for the Challenger space shuttle. Seventy-three seconds into the flight, disaster happened: the shuttle broke apart, killing all seven crew members on board. An investigation into the cause of the disaster focused on a critical seal called an O-ring, and it is believed that damage to these O-rings during a shuttle launch may be related to the ambient temperature during the launch. The table below summarizes observational data on O-rings for 23 shuttle missions, where the mission order is based on the temperature at the time of the launch.
orings
A data frame with 23 observations on the following 4 variables.
Shuttle mission number.
Temperature, in Fahrenheit.
Number of damaged O-rings (out of 6).
Number of undamaged O-rings (out of 6).
https://archive.ics.uci.edu/ml/datasets/Challenger+USA+Space+Shuttle+O-Ring
library(dplyr) library(forcats) library(tidyr) library(broom) # This is a wide data frame. You can convert it to a long # data frame to predict probability of O-ring damage based # on temperature using logistic regression. orings_long <- orings %>% pivot_longer(cols = c(damaged, undamaged), names_to = "outcome", values_to = "n") %>% uncount(n) %>% mutate(outcome = fct_relevel(outcome, "undamaged", "damaged")) orings_mod <- glm(outcome ~ temperature, data = orings_long, family = "binomial") tidy(orings_mod)