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Get cohort settings from a cohort_table object.

Usage

# S3 method for class 'cohort_table'
settings(x)

Arguments

x

A cohort_table object.

Value

A table with the details of the cohort settings.

Examples

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 = 1,
  subject_id = 1,
  cohort_start_date = as.Date("2010-01-01"),
  cohort_end_date = as.Date("2012-01-01")
)
cdm <- cdmFromTables(
  tables = list("person" = person, "observation_period" = observation_period),
  cdmName = "test",
  cohortTables = list("my_cohort" = cohort)
)
#> Warning: ! 5 column in person do not match expected column type:
#>  `person_id` is numeric but expected integer
#>  `gender_concept_id` is numeric but expected integer
#>  `year_of_birth` is numeric but expected integer
#>  `race_concept_id` is numeric but expected integer
#>  `ethnicity_concept_id` is numeric but expected integer
#> Warning: ! 3 column in observation_period do not match expected column type:
#>  `observation_period_id` is numeric but expected integer
#>  `person_id` is numeric but expected integer
#>  `period_type_concept_id` is numeric but expected integer
#> Warning: ! 2 column in my_cohort do not match expected column type:
#>  `cohort_definition_id` is numeric but expected integer
#>  `subject_id` is numeric but expected integer

settings(cdm$my_cohort)
#> # A tibble: 1 × 2
#>   cohort_definition_id cohort_name
#>                  <int> <chr>      
#> 1                    1 cohort_1   

cdm$my_cohort <- cdm$my_cohort |>
  newCohortTable(cohortSetRef = tibble(
    cohort_definition_id = 1, cohort_name = "new_name"
  ))
#> Warning: ! 1 casted column in my_cohort (cohort_set) as do not match expected column
#>   type:
#>  `cohort_definition_id` from numeric to integer
#> Warning: ! 2 column in my_cohort do not match expected column type:
#>  `cohort_definition_id` is numeric but expected integer
#>  `subject_id` is numeric but expected integer

settings(cdm$my_cohort)
#> # A tibble: 1 × 2
#>   cohort_definition_id cohort_name
#>                  <int> <chr>      
#> 1                    1 new_name