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) ...
[Package
SMPracticals version 1.3
Index]