R/airpollution.R

In nclSLR: The nclSLR package.

#' Air pollution data.
#'
#' 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.
#'
#' @name airpollution
#' @docType data
#' @usage data(airpollution)
#' @return A data frame with 80 rows and 11 variables. The data frame contains
#' the following columns:
#' \describe{
#' \item{SMIN}{Smallest biweekly sulphate reading in micrograms per cubic metre
#' (x 10).}
#' \item{SMEAN}{Arithmetic mean of biweekly sulphate reading in micrograms per 
#' cubic metre (x 10).}
#' \item{SMAX}{Largest biweekly sulphate reading in micrograms per cubic metre
#' (x 10).}
#' \item{PMIN}{Smallest biweekly suspended particulate reading in micrograms per 
#' cubic metre (x 10).}
#' \item{PMEAN}{Arithmetic mean of biweekly suspended particulate reading in 
#' micrograms per cubic metre (x 10).}
#' \item{PMAX}{Largest biweekly suspended particulate reading in micrograms per 
#' cubic metre (x 10).}
#' \item{PM2}{Population density per square mile (x 0.1).}
#' \item{PERWH}{Percent of population who are white.}
#' \item{NONPOOR}{Percent of families with income above the poverty level.}
#' \item{GE65}{Percent of population who are at least 65 (x 10).}
#' \item{LPOP}{Logarithm (base 10) of population (x 10).}}
#' @source The complete data set is described in Gibbons \emph{et al.} (1987).
#' @references
#' D.I. Gibbons and G.C. McDonald and R.F. Gunst (1987), The complementary use of
#' regression diagnostics and robust estimators. \emph{Naval Research Logistics},
#' \bold{34}, 109--131.
#' @keywords datasets
#' @examples
#' data(airpollution)
#' head(airpollution)
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