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#' Print function for gapclosing objects
#' @description Prints the same output as generated by \code{summary}
#' @param x An object of class \code{gapclosing}, which results from a call to the function \code{gapclosing}
#' @param ... Other arguments to \code{print} commands
#' @param digits Argument passed to print.data.frame
#' @param quote Argument passed to print.data.frame
#' @param right Argument passed to print.data.frame
#' @param row.names Argument passed to print.data.frame
#' @param max Argument passed to print.data.frame
#' @return Prints a summary of the estimates.
#' @references Lundberg I (2021). "The gap-closing estimand: A causal approach to study interventions that close disparities across social categories." Sociological Methods and Research. Available at {https://osf.io/gx4y3/}.
#' @importFrom magrittr %>%
#' @export
print.gapclosing <- function(
x,
...,
digits = 2,
quote = FALSE,
right = FALSE,
row.names = FALSE,
max = NULL
) {
# Prepare for non-standard evaluation
change_type <- change_formula <- NULL
cat("\nFactual mean outcomes:\n")
print(x$factual_means,
digits = digits,
quote = quote,
right = right,
row.names = row.names,
max = max, scientific = FALSE)
cat("\nCounterfactual mean outcomes (post-intervention means):\n")
print(x$counterfactual_means,
digits = digits,
quote = quote,
right = right,
row.names = row.names,
max = max, scientific = FALSE)
cat("\nFactual disparities:\n")
print(x$factual_disparities,
digits = digits,
quote = quote,
right = right,
row.names = row.names,
max = max, scientific = FALSE)
cat("\nCounterfactual disparities (gap-closing estimands):\n")
print(x$counterfactual_disparities,
digits = digits,
quote = quote,
right = right,
row.names = row.names,
max = max, scientific = FALSE)
cat("\nAdditive gap closed: Counterfactual - Factual\n")
print(x$change_disparities %>%
dplyr::filter(change_type == "additive") %>%
dplyr::select(-change_type, -change_formula),
digits = digits,
quote = quote,
right = right,
row.names = row.names,
max = max, scientific = FALSE)
cat("\nProportional gap closed: (Counterfactual - Factual) / Factual\n")
print(x$change_disparities %>%
dplyr::filter(change_type == "proportional") %>%
dplyr::select(-change_type, -change_formula),
digits = digits,
quote = quote,
right = right,
row.names = row.names,
max = max, scientific = FALSE)
}
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