R/data.R

In evalITR: Evaluating Individualized Treatment Rules

#'  Tennessee’s Student/Teacher Achievement Ratio (STAR) project
#'
#' A longitudinal study experimentally evaluating the impacts of class size in early education on various outcomes (Mosteller, 1995)
#'
#' @name star
#' @format A data frame with 1911 observations and 14 variables:
#' \describe{
#'   \item{treatment}{A binary treatment indicating whether a student is assigned to small class and regular class without an aid}
#'   \item{g3tlangss}{A continous variable measuring student's writing scores}
#'   \item{g3treadss}{A continous variable measuring student's reading scores}
#'   \item{g3tmathss}{A continous variable measuring student's math scores}
#' \item{gender}{Students' gender} 
#' \item{race}{Students' race} 
#' \item{birthmonth}{Students' birth month}
#' \item{birthyear}{Students' birth year}
#' \item{SCHLURBN}{Urban or rural} 
#' \item{GKENRMNT}{Enrollment size} 
#' \item{GRDRANGE}{Grade range} 
#' \item{GKFRLNCH}{Number of students on free lunch} 
#' \item{GKBUSED}{Number of students on school buses} 
#' \item{GKWHITE}{Percentage of white students}
#' }
"star"