R Dataset / Package Stat2Data / FlightResponse
On this Picostat.com statistics page, you will find information about the FlightResponse data set which pertains to FlightResponse. The FlightResponse data set is found in the Stat2Data R package. Try to load the FlightResponse data set in R by issuing the following command at the console data("FlightResponse"). This may load the data into a variable called FlightResponse. If R says the FlightResponse data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") and then attempt to reload the data with library("Stat2Data") followed by data("FlightResponse"). 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 FlightResponse 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 FlightResponse R data set. The size of this file is about 14,709 bytes.
Flight Response of Pacific Brant
A dataset with 464 observations on the following 7 variables.
A 1994 study collected data on the effects of air traffic on the behavior of the Pacific Brant (a small migratory goose). The data represent the flight response to helicopter "overflights" to see what the relationship between the proximity of a flight, both lateral and altitudinal, would be to the propensity of the Brant to flee the area. For this experiment, air traffic was restricted to helicopters because previous study had ascertained that helicopters created more radical flight response than other aircraft. The data are in FlightResponse. Each case represents a flock of Brant that has been observed during one overflight in the study. Flocks were determined observationally as contiguous collections of Brants, flock sizes varying from 10 to 30,000 birds.
Data come from the book Statistical Case Studies: A Collaboration Between Academe and Industry, Roxy Peck, Larry D. Haugh, and Arnold Goodman, editors; SIAM and ASA, 1998.
Dataset imported from https://www.r-project.org.
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