Get settings from a summarised_result object.
Source:R/methodSettings.R
settings.summarised_result.Rd
Get settings from a summarised_result object.
Usage
# S3 method for class 'summarised_result'
settings(x)
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
result <- summary(cdm$my_cohort)
settings(result)
#> # A tibble: 2 × 6
#> result_id cohort_definition_id table_name result_type package_name
#> <int> <int> <chr> <chr> <chr>
#> 1 1 1 my_cohort cohort_count omopgenerics
#> 2 2 1 my_cohort cohort_attrition omopgenerics
#> # ℹ 1 more variable: package_version <chr>