pollution {SMPracticals} | R Documentation |
Air Pollution and Mortality
Description
Data on the relation between weather, socioeconomic, and air pollution variables and mortality rates in 60 Standard Metropolitan Statistical Areas (SMSAs) of the USA, for the years 1959-1961. Some of the variables are highly collinear.
Usage
data(pollution)
Format
A data frame with 60 observations on the following variables.
- prec
Average annual precipitation in inches
- jant
Average January temperature in degrees F
- jult
Average July temperature in degrees F
- ovr95
Percentage of 1960 SMSA population aged 65 or older
- popn
Average household size
- educ
Median school years completed by those over 22
- hous
percentage of housing units which are sound and with all facilities
- dens
Population per square mile in urbanized areas, 1960
- nonw
Percentage non-white population in urbanized areas, 1960
- wwdrk
Percentage employed in white collar occupations
- poor
Percentage of families with income < 3000 dollars
- hc
Relative hydrocarbon pollution potential
- nox
Same for nitric oxides
- so
Same for sulphur dioxide
- humid
Annual average percentage relative humidity at 1pm
- mort
Total age-adjusted mortality rate per 100,000
Source
McDonald, G. C. and Schwing, R. C. (1973) Instabilities of regression estimates relating air pollution to mortality, Technometrics, 15, 463-482.
Examples
data(pollution)
## maybe str(pollution) ; plot(pollution) ...