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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 codelist from a cohort_table object.
#'
#' @param cohortTable A cohort_table object.
#' @param cohortId A particular cohort definition id that is present in the
#' cohort table.
#' @param type The reason for the codelist. Can be "index event", "inclusion
#' criteria", or "exit criteria".
#'
#' @return A table with the codelists used.
#'
#' @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)
#' )
#' cdm$cohort1 <- newCohortTable(table = cdm$cohort1,
#' cohortCodelistRef = dplyr::tibble(
#' cohort_definition_id = c(1,1,1,2,2),
#' codelist_name =c("disease X", "disease X", "disease X",
#' "disease Y", "disease Y"),
#' concept_id = c(1,2,3,4,5),
#' type = "index event"
#' ))
#' cohortCodelist(cdm$cohort1, cohortId = 1, type = "index event")
#' }
cohortCodelist <- function(cohortTable,
cohortId,
type = c("index event",
"inclusion criteria",
"exclusion criteria",
"exit criteria")) {
assertClass(cohortTable, "cohort_table")
assertNumeric(cohortId, length = 1)
if(nrow(settings(cohortTable) |>
dplyr::filter(.data$cohort_definition_id == .env$cohortId)) == 0){
cli::cli_abort("cohortId {cohortId} not found in settings for cohortTable {tableName(cohortTable)}")
}
assertChoice(type, c("index event",
"inclusion criteria",
"exclusion criteria",
"exit criteria"))
if(is.null(attr(cohortTable, "cohort_codelist"))){
cli::cli_abort("Codelist does not exist for this cohort.")
}
if(isFALSE(all(cohortColumns("cohort_codelist") %in%
colnames(attr(cohortTable, "cohort_codelist"))))){
cli::cli_abort("Codelist does not have the expected columns: {cohortColumns('cohort_codelist')}")
}
x <- attr(cohortTable, "cohort_codelist") |>
dplyr::filter(.data$cohort_definition_id %in% .env$cohortId) |>
dplyr::collect()
if(nrow(x) == 0){
cli::cli_warn("No codelists found for the specified cohorts")
return(newCodelist(list()))
}
x <- x |>
dplyr::filter(.data$type %in% {{type}})
if(nrow(x) == 0){
cli::cli_warn("No codelists found for the specified type")
return(newCodelist(list()))
}
x <- split(
x,
x[, c("codelist_name")],
drop = TRUE
)
for(i in seq_along(x)){
x[[i]] <- x[[i]] |>
dplyr::pull("concept_id")
}
x <- newCodelist(x)
return(x)
}
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