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$cohort2
#> # Source: table<cohort2> [?? x 4]
#> # Database: DuckDB v1.3.1 [unknown@Linux 6.11.0-1015-azure:R 4.5.1/:memory:]
#> cohort_definition_id subject_id cohort_start_date cohort_end_date
#> <int> <int> <date> <date>
#> 1 1 3 2007-06-02 2010-01-09
#> 2 2 6 2022-05-22 2022-06-24
#> 3 2 5 2020-11-19 2020-12-09
#> 4 2 1 2018-01-01 2018-04-13
#> 5 1 9 1996-07-08 2011-06-17
#> 6 2 2 2013-01-11 2013-03-19
#> 7 2 10 2001-09-26 2003-09-30
#> 8 2 8 1984-01-05 1984-01-10
#> 9 3 4 2012-06-19 2012-10-10
#> 10 3 7 2007-06-07 2007-08-01
settings(cdm$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)
# }