Description Usage Format Details Source
First extensive published use of normal qqplots. Hazen uses a=1/2 to make the p values for the plots. Hazen doesn'tplot zeros but has them contribute to the sample size. The context of use is in a study of the relation between the water storage provided in a reservoir on any stream and the quantity of water that can be continuously supplied by it. To quote the paper: ... treat all the remaining variations on the basis of probabilities, using all data from a number of streams; and to study them in comparison with the normal law of error."
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A data frame with 15 rows and 6 variates:
Computed storage, in millions of gallons per square mile of land area, given a draft of 100,000 gallons per square mile daily.
Computed storage, in millions of gallons per square mile of land area, given a draft of 200,000 gallons per square mile daily.
Computed storage, in millions of gallons per square mile of land area, given a draft of 400,000 gallons per square mile daily.
Computed storage, in millions of gallons per square mile of land area, given a draft of 600,000 gallons per square mile daily.
Computed storage, in millions of gallons per square mile of land area, given a draft of 800,000 gallons per square mile daily.
Computed storage, in millions of gallons per square mile of land area, given a draft of 1,000,000 gallons per square mile daily.
qqtest(WachusettReservoir$draft800,dist="uniform", a=1/2,type="o")
will effect Hazen's original plot for a draft of 800,000 gallons per square mile daily.
qqtest(WachusettReservoir$draft800,dist="normal", a=1/2, type="o")
will effect Hazen's normal qq plot for a draft of 800,000 gallons per square mile daily.
"Storage to be provided in impounding reservoirs for municipal water supply (with discussion)", Allen Hazen, Transactions of the American Society of Civil Engineers, Vol. 77, (1914), pp. 1539-1669.
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