Description Usage Value Source References Examples
A data comprising of observations from 80 US cities for the year 1960 on 11 variables. These include a number of measures of air pollution, specifically concentrations of sulphate and suspended particulate, as well as a number of demographic variables.
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A data frame with 80 rows and 11 variables. The data frame contains the following columns:
Smallest biweekly sulphate reading in micrograms per cubic metre (x 10).
Arithmetic mean of biweekly sulphate reading in micrograms per cubic metre (x 10).
Largest biweekly sulphate reading in micrograms per cubic metre (x 10).
Smallest biweekly suspended particulate reading in micrograms per cubic metre (x 10).
Arithmetic mean of biweekly suspended particulate reading in micrograms per cubic metre (x 10).
Largest biweekly suspended particulate reading in micrograms per cubic metre (x 10).
Population density per square mile (x 0.1).
Percent of population who are white.
Percent of families with income above the poverty level.
Percent of population who are at least 65 (x 10).
Logarithm (base 10) of population (x 10).
The complete data set is described in Gibbons et al. (1987).
D.I. Gibbons and G.C. McDonald and R.F. Gunst (1987), The complementary use of regression diagnostics and robust estimators. Naval Research Logistics, 34, 109–131.
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