## ----include = FALSE---------------------------------------------------------- NOT_CRAN <- identical(tolower(Sys.getenv("NOT_CRAN")), "true") knitr::opts_chunk$set( collapse = TRUE, warning = FALSE, message = FALSE, comment = "#>", eval = NOT_CRAN ) ## ----setup-------------------------------------------------------------------- # library(omock) # library(CohortConstructor) # library(CohortCharacteristics) # library(ggplot2) ## ----------------------------------------------------------------------------- # cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb") ## ----------------------------------------------------------------------------- # cdm$medications <- conceptCohort(cdm = cdm, # conceptSet = list("diclofenac" = 1124300, # "acetaminophen" = 1127433), # name = "medications") # cohortCount(cdm$medications) ## ----------------------------------------------------------------------------- # cdm$medintersect <- intersectCohorts( # cohort = cdm$medications, # name = "medintersect" # ) # # cohortCount(cdm$medintersect) ## ----include=FALSE, warning=FALSE--------------------------------------------- # cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb") # # cdm$medications <- conceptCohort(cdm = cdm, # conceptSet = list("diclofenac" = 1124300, # "acetaminophen" = 1127433), # name = "medications") ## ----------------------------------------------------------------------------- # cdm$medintersect <- intersectCohorts( # cohort = cdm$medications, # gap = 365, # name = "medintersect" # ) # # cohortCount(cdm$medintersect) ## ----------------------------------------------------------------------------- # cdm$medunion <- unionCohorts( # cohort = cdm$medications, # name = "medunion" # ) # # cohortCount(cdm$medunion) ## ----include=FALSE, warning=FALSE--------------------------------------------- # cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb") # # cdm$medications <- conceptCohort(cdm = cdm, # conceptSet = list("diclofenac" = 1124300, # "acetaminophen" = 1127433), # name = "medications") ## ----------------------------------------------------------------------------- # cdm$medunion <- unionCohorts( # cohort = cdm$medications, # name = "medunion", # keepOriginalCohorts = TRUE # ) # # cohortCount(cdm$medunion) ## ----include=FALSE, warning=FALSE--------------------------------------------- # cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb") # # cdm$medications <- conceptCohort(cdm = cdm, # conceptSet = list("diclofenac" = 1124300, # "acetaminophen" = 1127433), # name = "medications") ## ----------------------------------------------------------------------------- # cdm$medunion <- unionCohorts( # cohort = cdm$medications, # name = "medunion", # gap = 365, # keepOriginalCohorts = TRUE # ) # # cohortCount(cdm$medunion)