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{
library(DrugUtilisation)
cdm <- mockDrugUtilisation()
cdm$cohort2 <- cdm$cohort1 |>
erafyCohort(gapEra = 30, name = "cohort2")
cdm$cohort2
#> # A tibble: 10 × 4
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> * <int> <int> <date> <date>
#> 1 1 9 2016-07-16 2020-07-04
#> 2 2 1 2022-08-07 2022-08-17
#> 3 2 4 2022-03-11 2022-04-08
#> 4 2 8 1990-05-01 2012-08-16
#> 5 2 10 1988-03-04 1988-03-05
#> 6 3 2 2008-07-19 2009-03-26
#> 7 3 3 2022-06-06 2022-06-26
#> 8 3 5 2007-03-06 2013-02-17
#> 9 3 6 2017-11-10 2018-06-02
#> 10 3 7 2021-06-05 2021-11-03
settings(cdm$cohort2)
#> # A tibble: 3 × 3
#> cohort_definition_id cohort_name gap_era
#> <int> <glue> <chr>
#> 1 1 cohort_1_30 30
#> 2 2 cohort_2_30 30
#> 3 3 cohort_3_30 30
# }