chicagoNMMAPS {dlnm} | R Documentation |
Daily Mortality Weather and Pollution Data for Chicago
Description
The data set contains daily mortality (all causes, CVD, respiratory), weather (temperature, dew point temperature, relative humidity) and pollution data (PM10 and ozone) for Chicago in the period 1987-2000 from the National Morbidity, Mortality and Air Pollution Study (NMMAPS)
Usage
data(chicagoNMMAPS)
Format
A data frame with 5114 observations on the following 14 variables.
date
: Date in the period 1987-2000.time
: The sequence of observationsyear
: Yearmonth
: Month (numeric)doy
: Day of the yeardow
: Day of the week (factor)death
: Counts of all cause mortality excluding accidentcvd
: Cardiovascular Deathsresp
: Respiratory Deathstemp
: Mean temperature (in Celsius degrees)dptp
: Dew point temperaturerhum
: Mean relative humiditypm10
: PM10o3
: Ozone
Details
These data represents a subsample of the variables included in the NMMAPS dataset for Chicago.
The variable temp
is derived from the original tmpd
after a transformation from Fahrenheit to Celsius. The variables pm10
and o3
are an approximated reconstruction of the original series, adding the de-trended values and the median of the long term trend. This is the reason they include negative values.
Source
The complete dataset used to be available at the Internet-based Health and Air Pollution Surveillance System (iHAPSS) website, or through the packages NMMAPSdata or NMMAPSlite. Currently, the data are not available any more and the two packages have been archived.
See Also
nested
for an example of analysing exposure-lag-response associations in a nested case-control study. drug
for an example of analysing exposure-lag-response associations in a randomized controlled trial.
The application of DLNMs to this data with more detailed examples are given in vignette dlnmExtended.
See dlnm-package
for an introduction to the package and for links to package vignettes providing more detailed information.