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# Copyright 2023 DARWIN EU (C)
#
# This file is part of omopgenerics
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#' Get attrition from an object.
#'
#' @param x An object for which to get an attrition summary.
#'
#' @return A table with the attrition.
#'
#' @export
#'
attrition <- function(x) {
UseMethod("attrition")
}
#' Get cohort attrition from a cohort_table object.
#'
#' @param x A cohort_table
#'
#' @return A table with the attrition.
#'
#' @export
#'
#' @examples
#' \donttest{
#' library(omopgenerics)
#' library(dplyr, warn.conflicts = FALSE)
#'
#' person <- tibble(
#' person_id = 1, gender_concept_id = 0, year_of_birth = 1990,
#' race_concept_id = 0, ethnicity_concept_id = 0
#' )
#' observation_period <- tibble(
#' observation_period_id = 1, person_id = 1,
#' observation_period_start_date = as.Date("2000-01-01"),
#' observation_period_end_date = as.Date("2023-12-31"),
#' period_type_concept_id = 0
#' )
#' cohort <- tibble(
#' cohort_definition_id = c(1, 1, 1, 2),
#' subject_id = 1,
#' cohort_start_date = as.Date(c("2020-01-01", "2021-01-01", "2022-01-01", "2022-01-01")),
#' cohort_end_date = as.Date(c("2020-01-01", "2021-01-01", "2022-01-01", "2022-01-01")),
#' )
#' cdm <- cdmFromTables(
#' tables = list("person" = person, "observation_period" = observation_period),
#' cdmName = "my_example_cdm",
#' cohortTables = list("cohort1" = cohort)
#' )
#'
#' attrition(cdm$cohort1)
#' }
attrition.cohort_table <- function(x) {
if (is.null(attr(x, "cohort_attrition"))) {
cli::cli_abort("Cohort attrition does not exist for this cohort.")
}
x <- attr(x, "cohort_attrition") |>
dplyr::collect() |>
dplyr::select(dplyr::all_of(cohortColumns("cohort_attrition"))) |>
dplyr::arrange(.data$cohort_definition_id, .data$reason_id) |>
dplyr::mutate(
"cohort_definition_id" = as.integer(.data$cohort_definition_id),
"number_records" = as.integer(.data$number_records),
"number_subjects" = as.integer(.data$number_subjects),
"reason_id" = as.integer(.data$reason_id),
"reason" = as.character(.data$reason),
"excluded_records" = as.integer(.data$excluded_records),
"excluded_subjects" = as.integer(.data$excluded_subjects)
)
x <- addClass(x, c("omop_attrition", "attrition"))
return(x)
}
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