R/data.R

In bnpa: Bayesian Networks & Path Analysis

#' A qualitative data set to test functions
#'
#' This is data set with qualitative nominal variables containing 500 obs
#' extracted from ASIA Bayesian Networks  of bnlearn package repository.
#'
#' @format A data frame with 500 rows and 7 variables:
#' \describe{
#'   \item{A}{a categorical variale}
#'   \item{S}{a categorical variale}
#'   \item{T}{a categorical variale}
#'   \item{L}{a categorical variale}
#'   \item{B}{a categorical variale}
#'   \item{E}{a categorical variale}
#'   \item{X}{a categorical variale}
#'   \item{D}{a categorical variale}
#'   ...
#' }
#' @source \url{http://www.bnlearn.com/bnrepository//}
"dataQualiN"

#' A quantiative data set to test functions
#'
#' This is data set with quantiative continuous variables containing 500 obs
#' extracted from ASIA Bayesian Networks  of bnlearn package repository.
#'
#' @format A data frame with 500 rows and 7 variables:
#' \describe{
#'   \item{A}{a numeric variale}
#'   \item{B}{a numeric variale}
#'   \item{C}{a numeric variale}
#'   \item{D}{a numeric variale}
#'   \item{E}{a numeric variale}
#'   \item{F}{a numeric variale}
#'   \item{G}{a numeric variale}
#'   ...
#' }
#' @source \url{http://www.bnlearn.com/bnrepository//}
"dataQuantC"