Use achilles counts to filter a codelist to keep only the codes used in the database

Usage

subsetToCodesInUse(
  x,
  cdm,
  minimumCount = 0L,
  table = c("condition_occurrence", "device_exposure", "drug_exposure", "measurement",
    "observation", "procedure_occurrence", "visit_occurrence")
)

Arguments

x: A codelist
cdm: cdm_reference via CDMConnector
minimumCount: Any codes with a frequency under this will be removed.
table: cdm table

Value

Use achilles counts to filter codelist to only the codes used in the database

Examples

# \donttest{
cdm <- mockVocabRef("database")
#> Warning: ! 8 column in cdm_source do not match expected column type:
#> • `cdm_source_abbreviation` is logical but expected character
#> • `cdm_holder` is logical but expected character
#> • `source_description` is logical but expected character
#> • `source_documentation_reference` is logical but expected character
#> • `cdm_etl_reference` is logical but expected character
#> • `source_release_date` is logical but expected date
#> • `cdm_release_date` is logical but expected date
#> • `vocabulary_version` is logical but expected character
#> Warning: ! 3 column in concept do not match expected column type:
#> • `valid_start_date` is logical but expected date
#> • `valid_end_date` is logical but expected date
#> • `invalid_reason` is logical but expected character
#> Warning: ! 3 column in concept_relationship do not match expected column type:
#> • `valid_start_date` is logical but expected date
#> • `valid_end_date` is logical but expected date
#> • `invalid_reason` is logical but expected character
#> Warning: ! 1 column in concept_synonym do not match expected column type:
#> • `language_concept_id` is logical but expected integer
#> Warning: ! 4 column in drug_strength do not match expected column type:
#> • `amount_value` is logical but expected numeric
#> • `box_size` is logical but expected integer
#> • `valid_start_date` is logical but expected date
#> • `valid_end_date` is logical but expected date
#> Warning: ! 7 column in achilles_analysis do not match expected column type:
#> • `analysis_name` is numeric but expected character
#> • `stratum_1_name` is logical but expected character
#> • `stratum_2_name` is logical but expected character
#> • `stratum_3_name` is logical but expected character
#> • `stratum_4_name` is logical but expected character
#> • `stratum_5_name` is logical but expected character
#> • `category` is logical but expected character
#> Warning: ! 5 column in achilles_results do not match expected column type:
#> • `stratum_1` is numeric but expected character
#> • `stratum_2` is logical but expected character
#> • `stratum_3` is logical but expected character
#> • `stratum_4` is logical but expected character
#> • `stratum_5` is logical but expected character
#> Warning: ! 14 column in achilles_results_dist do not match expected column type:
#> • `stratum_1` is logical but expected character
#> • `stratum_2` is logical but expected character
#> • `stratum_3` is logical but expected character
#> • `stratum_4` is logical but expected character
#> • `stratum_5` is logical but expected character
#> • `min_value` is logical but expected integer
#> • `max_value` is logical but expected integer
#> • `avg_value` is logical but expected numeric
#> • `stdev_value` is logical but expected numeric
#> • `median_value` is logical but expected numeric
#> • `p10_value` is logical but expected numeric
#> • `p25_value` is logical but expected numeric
#> • `p75_value` is logical but expected numeric
#> • `p90_value` is logical but expected numeric
#> Warning: There are observation period end dates after the current date: 2024-11-26
#> ℹ The latest max observation period end date found is 2025-12-31
#> Warning: There are observation period end dates after the current date: 2024-11-26
#> ℹ The latest max observation period end date found is 2025-12-31
codes <- getCandidateCodes(cdm = cdm,
                           keywords = "arthritis",
                           domains = "Condition",
                           includeDescendants = FALSE)
#> Limiting to domains of interest
#> Getting concepts to include
#> Search completed. Finishing up.
#> ✔ 3 candidate concepts identified
#> Time taken: 0 minutes and 0 seconds
x <- subsetToCodesInUse(list("cs1" = codes$concept_id,
                               "cs2" = 999),
                                cdm = cdm)
#> No codes from codelist cs2 found in the database

x
#> $cs1
#> [1] 4 5
#> 
CDMConnector::cdmDisconnect(cdm)
# }