R/dataset2.R

In johnlpearce/sommix: Tools to Apply Self-Organizing Maps

#' Data Set 2 Mixture Simulated Data with an Environmentally Relevant Complex Correlation Pattern
#'
#' This data file is intended to represent data from a cross-sectional study of 14 biomarkers (e.g., PCBs, dioxins, furans) from biomonitoring data potentially associated with a biomarker of effect (e.g., ALT as a marker of liver toxicity).
#' Three covariates are also included, one binary and two continuous.
#'
#' @format A data frame with 500 rows and 18 variables:
#' \describe{
#'   \item{OBS}{subject identifier}
#'   \item{Y}{The outcome, a continuous variable}
#'   \item{X1}{a continous exposure biomarker}
#'   \item{X2}{a continous exposure biomarker}
#'   \item{X3}{a continous exposure biomarker}
#'   \item{X4}{a continous exposure biomarker}
#'   \item{X5}{a continous exposure biomarker}
#'   \item{X6}{a continous exposure biomarker}
#'   \item{X7}{a continous exposure biomarker}
#'   \item{X8}{a continous exposure biomarker}
#'   \item{X9}{a continous exposure biomarker}
#'   \item{X10}{a continous exposure biomarker}
#'   \item{X11}{a continous exposure biomarker}
#'   \item{X12}{a continous exposure biomarker}
#'   \item{X13}{a continous exposure biomarker}
#'   \item{X14}{a continous exposure biomarker}
#'   \item{Z1}{a continous confounder}
#'   \item{Z2}{a continous confounder}
#'   \item{Z3}{a binary confounder}
#'   ...
#' }
#' @source \url{https://www.niehs.nih.gov/about/events/pastmtg/2015/statistical/index.cfm}
"dataset2"