R/data-doc.R

In stagedtrees: Staged Event Trees

#' Pokemon Go Users
#'
#' Demographic information of a population of possible Pokemon Go users.
#'
#'
#' @format A data frame with 999 rows and 5 variables:
#' \describe{
#'   \item{Use}{\code{Y} if the individual used the app, \code{N} otherwise}
#'   \item{Age}{\code{>30} if the individual is older than 30,
#'               \code{<=30} otherwise}
#'   \item{Degree}{\code{Yes} if the individual completed a Higher
#'                 Education degree, \code{No} otherwise}
#'   \item{Gender}{\code{Male} or \code{Female}}
#'   \item{Activity}{\code{Yes} if the individual was physically active
#'                   (i.e. had a walk longer than 30 mins, went for a run or
#'                   had a bike ride to get some exercise) in the past week
#'                   before the experiment, \code{No} otherwise}
#' }
#'
#' @source \url{https://osf.io/xy5g6/}
#' @references Gabbiadini, Alessandro, Christina Sagioglou, and Tobias Greitemeyer.
#' "Does Pokémon Go lead to a more physically active life style?."
#'  *Computers in Human Behavior* 84 (2018): 258-263.
"Pokemon"

#' PhD Students Publications
#'
#' Number of publications of 915 PhD biochemistry students
#' during the 1950’s and 1960’s.
#'
#'
#' @format A data frame with 915 rows and 6 variables:
#' \describe{
#'   \item{Articles}{Number of articles during the last 3 years of PhD: either
#'                   \code{0}, \code{1-2} or \code{>2}.}
#'   \item{Gender}{\code{male} or \code{female}.}
#'   \item{Kids}{\code{yes} if the student has at least one kid 5 or younger,
#'               \code{no} otherwise.}
#'   \item{Married}{\code{yes} or \code{no}.}
#'   \item{Mentor}{Number of publications of the student's mentor:
#'                \code{low} between 0 and 3, \code{medium} between 4 and 10,
#'                \code{high} otherwise.}
#'   \item{Prestige}{\code{low} if the student is at a low-prestige university,
#'         \code{high} otherwise.}
#' }
#'
#' @source The data has been modified from the \code{Rchoice} package.
#' @references Long, J. S. (1990). The origins of sex differences in science.
#'  *Social Forces*, 68(4), 1297-1316.
"PhDArticles"

#' Asym dataset
#'
#' Artificial dataset with observations from four variables 
#' having a non-symmetrical conditional independence structure.
#'
#' @format A data frame with 1000 observations of 4 binary variables.
#'
#' @source The data has been generated by Federico Carli \email{carli@dima.unige}.
"Asym"