airlineArrival: Airline On-Time Arrival Data

In fastR: Data sets and utilities for Foundations and Applications of Statistics by R Pruim

Description

Flights categorized by destination city, airline, and whether or not the flight was on time.

Usage

data(airlineArrival)

Format

A data frame with 11000 observations on the following 3 variables.

Airport

a factor with levels LosAngeles Phoenix SanDiego SanFrancisco Seattle

Result

a factor with levels Delayed OnTime

Airline

a factor with levels Alaska AmericaWest

Source

Barnett, Arnold. 1994. “How numbers can trick you.” Technology Review, vol. 97, no. 7, pp. 38–45.

References

These and similar data appear in many text books under the topic of Simpson's paradox.

Examples

row.perc(xtabs(~Airline+Result, airlineArrival))
for (city in levels(airlineArrival$Airport)) {
	cat(paste('\nArriving in ', city,':\n',sep=''))
	print(row.perc(xtabs(~Airline+Result, airlineArrival, 
		subset=Airport==city)))
}

fastR documentation built on May 2, 2019, 5:53 p.m.