case0401 | R Documentation |
The number of space shuttle O-ring incidents for 4 space shuttle launches when the air temperatures was below 65 degrees F and for 20 space shuttle launches when the air temperature was above 65 degrees F.
case0401
A data frame with 24 observations on the following 2 variables.
the number of O-ring incidents
factor variable with two levels—"Cool"
and
"Warm"
Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.
Feynman, R.P. (1988). What do You Care What Other People Think? W. W. Norton.
ex2011
, ex2223
str(case0401)
attach(case0401)
mCool <- mean(Incidents[Launch=="Cool"])
mWarm <- mean(Incidents[Launch=="Warm"])
mDiff <- mCool - mWarm
c(mCool,mWarm,mDiff) # Show the values of these variables
## PERMUTATION TEST , VIA REPEATED RANDOM RE-GROUPING (ADVANCED)
numRep <- 50 # Number of random groupings. CHANGE TO LARGER NUMBER; eg 50,000.
rDiff <- rep(0,numRep) # Initialize this variable to contain numRep 0s.
for (rep in 1:numRep) { # Repeat the following commands numRep times:
randomGroup <- rep("rWarm",24) # Set randomGroup to have 24 values "rWarm"
randomGroup[sample(1:24,4)] <- "rCool" # Replace 4 at random with "rCool"
mW <- mean(Incidents[randomGroup=="rWarm"]) # average of random "rWarm" group
mC <- mean(Incidents[randomGroup=="rCool"]) # average of random "rCool" group
rDiff[rep] <- mC-mW # Store difference in averages in 'rep' cell of rDiff
} # End of loop
hist(rDiff, # Histogram of difference in averages from numRep random groupings
main="Approximate Permutation Distribution",
xlab="Possible Values of Difference in Averages",
ylab="Frequency of Occurrence")
abline(v=mDiff) # Draw a vertical line at the actually observed difference
pValue <- sum(rDiff >= 1.3)/numRep # 1-sided p-value
pValue
text(mDiff,75000, paste(" -->",round(pValue,4)), adj=-0.1)
detach(case0401)
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