R/data.R

In BayesGWQS: Bayesian Grouped Weighted Quantile Sum Regression

#' Simulated data of chemical concentrations and one binary outcome variable
#'
#' Data were simulated to have 0.7 in-group correlation and 0.3 between-group correlation. There are three groups,
#' with the third being significantly correlated to the outcome variable.
#'
#'
#' @format A data frame with 1000 rows and 15 variables:
#' \describe{
#' \item{pcb_118}{a numeric vector; part of group 1}
#' \item{pcb_138}{a numeric vector; part of group 1}
#' \item{pcb_153}{a numeric vector; part of group 1}
#' \item{pcb_180}{a numeric vector; part of group 1}
#' \item{pcb_192}{a numeric vector; part of group 1}
#' \item{as}{a numeric vector; part of group 2}
#' \item{cu}{a numeric vector; part of group 2}
#' \item{pb}{a numeric vector; part of group 2}
#' \item{sn}{a numeric vector; part of group 2}
#' \item{carbaryl}{a numeric vector; part of group 3}
#' \item{propoxur}{a numeric vector; part of group 3}
#' \item{methoxychlor}{a numeric vector; part of group 3}
#' \item{diazinon}{a numeric vector; part of group 3}
#' \item{chlorpyrifos}{a numeric vector; part of group 3}
#' \item{Y}{a numeric vector; the outcome variable}
#' }
"simdata"