## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, eval = TRUE, message = FALSE, warning = FALSE, comment = "#>" ) library(CohortConstructor) library(CohortCharacteristics) library(ggplot2) library(CDMConnector) library(dplyr, warn.conflicts = FALSE) library(PatientProfiles) if (Sys.getenv("EUNOMIA_DATA_FOLDER") == ""){ Sys.setenv("EUNOMIA_DATA_FOLDER" = file.path(tempdir(), "eunomia"))} if (!dir.exists(Sys.getenv("EUNOMIA_DATA_FOLDER"))){ dir.create(Sys.getenv("EUNOMIA_DATA_FOLDER")) downloadEunomiaData() } ## ----------------------------------------------------------------------------- con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir()) cdm <- cdm_from_con(con, cdm_schema = "main", write_schema = c(prefix = "my_study_", schema = "main")) ## ----------------------------------------------------------------------------- cdm$medications <- conceptCohort(cdm = cdm, conceptSet = list("diclofenac" = 1124300, "acetaminophen" = 1127433), name = "medications") cohortCount(cdm$medications) ## ----------------------------------------------------------------------------- cdm$stratified <- cdm$medications |> addAge(ageGroup = list("Child" = c(0,17), "18 to 65" = c(18,64), "65 and Over" = c(65, Inf))) |> addSex(name = "stratified") |> stratifyCohorts(strata = list("sex", "age_group", c("sex", "age_group")), name = "stratified") settings(cdm$stratified) ## ----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$medications <- conceptCohort(cdm = cdm, conceptSet = list("diclofenac" = 1124300, "acetaminophen" = 1127433), name = "medications") ## ----------------------------------------------------------------------------- cdm$years <- cdm$medications |> yearCohorts(years = 2005:2010, name = "years") settings(cdm$years)