pollution: Air Pollution and Mortality

In SMPracticals: Practicals for Use with Davison (2003) Statistical Models

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) ...

Example output

Loading required package: ellipse

Attaching package: 'ellipse'

The following object is masked from 'package:graphics':

    pairs

SMPracticals documentation built on May 2, 2019, 11:12 a.m.