Filter cohorts to keep only records for those with a minimum amount of subjects
Source:R/requireMinCohortCount.R
requireMinCohortCount.RdrequireMinCohortCount() filters an existing cohort table, keeping only
records from cohorts with a minimum number of individuals
Usage
requireMinCohortCount(
cohort,
minCohortCount,
cohortId = NULL,
name = tableName(cohort)
)Arguments
- cohort
A cohort table in a cdm reference.
- minCohortCount
The minimum count of sbjects for a cohort to be included.
- cohortId
Vector identifying which cohorts to modify (cohort_definition_id or cohort_name). If NULL, all cohorts will be used; otherwise, only the specified cohorts will be modified, and the rest will remain unchanged.
- name
Name of the new cohort table created in the cdm object.
Examples
# \donttest{
library(CohortConstructor)
cdm <- mockCohortConstructor(nPerson = 100)
cdm$cohort1 |>
requireMinCohortCount(5)
#> Warning: There was 1 warning in `dplyr::summarise()`.
#> ℹ In argument: `reason_id = max(.data$reason_id)`.
#> Caused by warning in `max()`:
#> ! no non-missing arguments to max; returning -Inf
#> Warning: ! 1 casted column in cohort1 (cohort_attrition) as do not match expected column
#> type:
#> • `reason_id` from numeric to integer
#> # Source: table<main.cohort1> [?? x 4]
#> # Database: DuckDB v1.1.2 [unknown@Linux 6.5.0-1025-azure:R 4.4.2/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
#> 1 1 4 1998-12-14 2002-02-14
#> 2 1 6 2003-04-11 2004-02-23
#> 3 1 7 2004-07-31 2004-11-23
#> 4 1 7 2004-11-24 2005-11-05
#> 5 1 7 2005-11-06 2012-01-12
#> 6 1 8 2009-09-13 2012-04-22
#> 7 1 9 2011-12-20 2011-12-20
#> 8 1 9 2011-12-21 2011-12-29
#> 9 1 9 2011-12-30 2012-04-02
#> 10 1 12 2000-11-15 2013-03-04
#> # ℹ more rows
# }