R/sim_longitudinal.R

#' Simulated longitudinal data
#'
#' Data are simulated to be similar to longitudinal data collected within
#' schools/districts.
#'
#' @format A tibble with 1000 rows and 8 variables:
#' \describe{
#'   \item{sid}{An integer denoting the individual student. 
#'     There are 100 students.}
#'   \item{school}{An integer denoting the school There are 15 schools.}
#'   \item{district}{An integer denoting the school district. There are 
#'     5 districts.}
#'   \item{group}{A character variable denoting the instructional level of 
#'     the student, low, medium, or high.}
#'   \item{treatment}{A factor indicating whether the student received the 
#'     intervention treatment (0 = no treatment received; 1 = treatment 
#'     received).}
#'   \item{prop_low}{The proportion of student in the school in the low 
#'     instructional group.}
#'   \item{wave}{The assessment wave. Each student has nine waves of data 
#'     collection}
#'   \item{score}{The individual students' score at the given wave.}
#' }
"sim_longitudinal"

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equatiomatic documentation built on Jan. 31, 2022, 1:06 a.m.