View source: R/recordCohortAttrition.R
recordCohortAttrition | R Documentation |
Update cohort attrition.
recordCohortAttrition(cohort, reason, cohortId = NULL)
cohort |
A cohort_table object. |
reason |
A character string. |
cohortId |
Cohort definition id of the cohort to update attrition. If NULL all cohort_definition_id are updated. |
cohort_table with updated attrition.
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$cohort1
attrition(cdm$cohort1)
cdm$cohort1 <- cdm$cohort1 |>
group_by(cohort_definition_id, subject_id) |>
filter(cohort_start_date == min(cohort_start_date)) |>
ungroup() |>
compute(name = "cohort1", temporary = FALSE) |>
recordCohortAttrition("Restrict to first observation")
cdm$cohort1
attrition(cdm$cohort1)
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