R/data.R

In tpgjs66/cchaidR: Chi-squared Automated Interaction Detection for continuous response variable

#' Daily work/school activity duration
#'
#' @description A dataset represents daily work/school activity duration
#' (in minutes) from MON 2004 (Dutch household travel survey of 2004).
#' The variables are as follows:
#' @name WorkDuration
#' @docType data
#' @author Seheon Kim
#' @format Socio-economic and situational attributes used:
#'\describe{
#'  \itemize{
#'    \item{Urb}{Urban Density}
#'    \item{Comp}{Household Composition}
#'    \item{Child}{Child category}
#'    \item{Day}{Day of the week}
#'    \item{pAge}{Age category}
#'    \item{SEC}{Socio-economic class}
#'    \item{Ncar}{Number of cars}
#'    \item{Gend}{Gender}
#'    \item{Driver}{Has a driving license}
#'    \item{wstat}{Work status of an individual}
#'    \item{Pwstat}{Work status of partner}
#'    \item{Xdag}{# of employees daily sector within 3.1km from home}
#'    \item{Xn.dag}{# employees non-daily sector within 4.4km from home}
#'    \item{Xarb}{# employees total within 4.4km from home}
#'    \item{Xpop}{# households within 3.1km from home}
#'    \item{Ddag}{Distance to nearest 160 employees daily-good sector}
#'    \item{Dn.dag}{Distance to nearest 260 employees non-daily-good sector}
#'    \item{Darb}{Distance to nearest 4500 employees total}
#'    \item{Dpop}{Distance to nearest 5200 households}
#'    \item{Dur}{Total duration of Work/School activity (in minutes)}
#'  }
#'}
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