# Copyright (c) 2022 Merck & Co., Inc., Rahway, NJ, USA and its affiliates. All rights reserved.
#
# This file is part of the simtrial program.
#
# simtrial is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#' Cut a Dataset for Analysis at a Specified Event Count
#'
#' `cut_data_by_event` takes a time-to-event data set and cuts the data at which an
#' event count is reached.
#'
#' @param x a time-to-event dataset, e.g., generated by \code{sim_pw_surv}
#' @param count event count at which data cutoff is to be made
#'
#' @examples
#' library(tidyr)
#' # Use default enrollment and event rates at cut at 100 events
#' x <- sim_pw_surv(n = 200) %>% cut_data_by_event(100)
#' table(x$event, x$Treatment)
#'
#' @return a \code{tibble} ready for survival analysis, including culumns time to event (`tte`),
#' `event`, the `stratum` and the `treatment.`
#'
#' @export
cut_data_by_event <- function(x, count){
cut_date <- get_cut_date_by_event(x, count)
ans <- x %>% cut_data_by_date(cut_date = cut_date)
return(ans)
}
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