R/framingham.R

In TimothyHyndman/deconvolve: Deconvolution Tools for Measurement Error Problems

#' Framingham Data
#'
#' A dataset from the Framingham Study on coronary heart disease described by 
#' Carroll, Ruppert, and Stefanski (1995)
#'
#' @format A data frame with 1615 rows and 10 variables:
#' \describe{
#'	\item{OBS}{observation number (1-1615)}
#' 	\item{AGE}{age at exam 2}
#' 	\item{SBP21}{first systolic blood pressure at exam 2}
#' 	\item{SBP22}{second systolic blood pressure at exam 2}
#' 	\item{SBP31}{first systolic blood pressure at exam 3}
#' 	\item{SBP32}{second systolic blood pressure at exam 3}
#' 	\item{SMOKE}{present smoking at exam 1}
#' 	\item{CHOLEST2}{serum cholesterol at exam 2}
#' 	\item{CHOLEST3}{serum cholesterol at exam 3}
#' 	\item{FIRSTCHD}{indicator of first evidence of CHD occurring at exam 3 through 6, i.e., within an eight-year follow-up period to exam 2 }
#' }
#' 
#' @source \url{https://www.stat.tamu.edu/~carroll/data.php}
#' 
#' @section References: 
#' Carroll, R. J., Ruppert, D., and Stefanski, L. A. (1995). Measurement Error 
#' in Nonlinear Models: A Modern Perspective, Second Edition. Chapman Hall, New
#' York.
#' 
"framingham"