Erafy a cohort_table collapsing records separated gapEra days or less.
Source:R/erafyCohort.R
erafyCohort.RdErafy a cohort_table collapsing records separated gapEra days or less.
Usage
erafyCohort(
cohort,
gapEra,
cohortId = NULL,
nameStyle = "{cohort_name}_{gap_era}",
name = omopgenerics::tableName(cohort)
)Arguments
- cohort
A cohort_table object.
- gapEra
Number of days between two continuous exposures to be considered in the same era.
- cohortId
A cohort definition id to restrict by. If NULL, all cohorts will be included.
- nameStyle
String to create the new names of cohorts. Must contain '{cohort_name}' if more than one cohort is present and '{gap_era}' if more than one gapEra is provided.
- name
Name of the new cohort table, it must be a length 1 character vector.
Examples
# \donttest{
cdm <- mockDrugUtilisation()
cdm$cohort2 <- cdm$cohort1 |>
erafyCohort(gapEra = 30, name = "cohort2")
cdm$cohort2
#> # Source: table<cohort2> [?? x 4]
#> # Database: DuckDB v1.2.1 [unknown@Linux 6.8.0-1021-azure:R 4.4.3/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
#> 1 2 5 2012-06-17 2012-10-11
#> 2 2 10 2000-11-15 2003-07-14
#> 3 2 8 2019-01-29 2020-01-11
#> 4 2 3 2021-11-06 2021-11-06
#> 5 2 4 1982-10-28 1982-12-20
#> 6 1 7 2016-04-18 2022-07-09
#> 7 1 2 2002-09-15 2010-09-28
#> 8 2 9 2010-06-20 2011-03-20
#> 9 1 1 2019-05-27 2020-01-18
#> 10 1 6 2016-11-06 2017-02-16
settings(cdm$cohort2)
#> # A tibble: 3 × 3
#> cohort_definition_id cohort_name gap_era
#> <int> <chr> <chr>
#> 1 1 cohort_1_30 30
#> 2 2 cohort_2_30 30
#> 3 3 cohort_3_30 30
mockDisconnect(cdm)
# }