## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(CohortConstructor) library(CohortCharacteristics) library(ggplot2) ## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, eval = TRUE, message = FALSE, warning = FALSE, comment = "#>" ) library(CDMConnector) library(dplyr, warn.conflicts = FALSE) if (Sys.getenv("EUNOMIA_DATA_FOLDER") == ""){ Sys.setenv("EUNOMIA_DATA_FOLDER" = file.path(tempdir(), "eunomia"))} if (!dir.exists(Sys.getenv("EUNOMIA_DATA_FOLDER"))){ dir.create(Sys.getenv("EUNOMIA_DATA_FOLDER")) downloadEunomiaData() } ## ----------------------------------------------------------------------------- con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir()) cdm <- cdm_from_con(con, cdm_schema = "main", write_schema = c(prefix = "my_study_", schema = "main")) ## ----------------------------------------------------------------------------- cdm$medications <- conceptCohort(cdm = cdm, conceptSet = list("diclofenac" = 1124300, "acetaminophen" = 1127433), name = "medications") cohortCount(cdm$medications) ## ----------------------------------------------------------------------------- cdm$medintersect <- CohortConstructor::intersectCohorts( cohort = cdm$medications, name = "medintersect" ) cohortCount(cdm$medintersect) ## ----include=FALSE, warning=FALSE--------------------------------------------- con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir()) cdm <- cdm_from_con(con, cdm_schema = "main", write_schema = c(prefix = "my_study_", schema = "main")) cdm$medications <- conceptCohort(cdm = cdm, conceptSet = list("diclofenac" = 1124300, "acetaminophen" = 1127433), name = "medications") ## ----------------------------------------------------------------------------- cdm$medintersect <- CohortConstructor::intersectCohorts( cohort = cdm$medications, gap = 365, name = "medintersect" ) cohortCount(cdm$medintersect) ## ----------------------------------------------------------------------------- cdm$medunion <- CohortConstructor::unionCohorts( cohort = cdm$medications, name = "medunion" ) cohortCount(cdm$medunion) ## ----include=FALSE, warning=FALSE--------------------------------------------- con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir()) cdm <- cdm_from_con(con, cdm_schema = "main", write_schema = c(prefix = "my_study_", schema = "main")) cdm$medications <- conceptCohort(cdm = cdm, conceptSet = list("diclofenac" = 1124300, "acetaminophen" = 1127433), name = "medications") ## ----------------------------------------------------------------------------- cdm$medunion <- CohortConstructor::unionCohorts( cohort = cdm$medications, name = "medunion", keepOriginalCohorts = TRUE ) cohortCount(cdm$medunion) ## ----include=FALSE, warning=FALSE--------------------------------------------- con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir()) cdm <- cdm_from_con(con, cdm_schema = "main", write_schema = c(prefix = "my_study_", schema = "main")) cdm$medications <- conceptCohort(cdm = cdm, conceptSet = list("diclofenac" = 1124300, "acetaminophen" = 1127433), name = "medications") ## ----------------------------------------------------------------------------- cdm$medunion <- CohortConstructor::unionCohorts( cohort = cdm$medications, name = "medunion", gap = 365, keepOriginalCohorts = TRUE ) cohortCount(cdm$medunion)