View source: R/intersectCohorts.R
intersectCohorts | R Documentation |
intersectCohorts()
combines different cohort entries, with those records
that overlap combined and kept. Cohort entries are when an individual was in
both of the cohorts.
intersectCohorts(
cohort,
cohortId = NULL,
gap = 0,
returnNonOverlappingCohorts = FALSE,
keepOriginalCohorts = FALSE,
name = tableName(cohort),
.softValidation = FALSE
)
cohort |
A cohort table in a cdm reference. |
cohortId |
Vector identifying which cohorts to include (cohort_definition_id or cohort_name). Cohorts not included will be removed from the cohort set. |
gap |
Number of days between two subsequent cohort entries to be merged in a single cohort record. |
returnNonOverlappingCohorts |
Whether the generated cohorts are mutually exclusive or not. |
keepOriginalCohorts |
If TRUE the original cohorts will be return together with the new ones. If FALSE only the new cohort will be returned. |
name |
Name of the new cohort table created in the cdm object. |
.softValidation |
Whether to perform a soft validation of consistency. If set to FALSE four additional checks will be performed: 1) a check that cohort end date is not before cohort start date, 2) a check that there are no missing values in required columns, 3) a check that cohort duration is all within observation period, and 4) that there are no overlapping cohort entries |
A cohort table.
library(CohortConstructor)
cdm <- mockCohortConstructor(nPerson = 100)
cdm$cohort3 <- intersectCohorts(
cohort = cdm$cohort2,
name = "cohort3",
)
settings(cdm$cohort3)
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