## ----include = FALSE---------------------------------------------------------- NOT_CRAN <- identical(tolower(Sys.getenv("NOT_CRAN")), "true") knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = NOT_CRAN ) ## ----include = FALSE---------------------------------------------------------- # knitr::opts_chunk$set( # collapse = TRUE, # comment = "#>", message = FALSE, warning = FALSE, # fig.width = 7 # ) # # library(CDMConnector) # if (Sys.getenv("EUNOMIA_DATA_FOLDER") == "") Sys.setenv("EUNOMIA_DATA_FOLDER" = tempdir()) # if (!dir.exists(Sys.getenv("EUNOMIA_DATA_FOLDER"))) dir.create(Sys.getenv("EUNOMIA_DATA_FOLDER")) # if (!eunomiaIsAvailable()) downloadEunomiaData(datasetName = "synpuf-1k") ## ----------------------------------------------------------------------------- # library(CDMConnector) # library(OmopSketch) # library(PhenotypeR) # library(dplyr) # library(CohortConstructor) # # con <- DBI::dbConnect(duckdb::duckdb(), # CDMConnector::eunomiaDir("synpuf-1k", "5.3")) # cdm <- CDMConnector::cdmFromCon(con = con, # cdmName = "Eunomia Synpuf", # cdmSchema = "main", # writeSchema = "main", # achillesSchema = "main") # # cdm$injuries <- conceptCohort(cdm = cdm, # conceptSet = list( # "ankle_sprain" = 81151L, # "ankle_fracture" = 4059173L, # "forearm_fracture" = 4278672L, # "hip_fracture" = 4230399L # ), # name = "injuries") ## ----------------------------------------------------------------------------- # db_diagnostics <- databaseDiagnostics(cdm$injuries) ## ----------------------------------------------------------------------------- # tableOmopSnapshot(db_diagnostics) ## ----------------------------------------------------------------------------- # tableObservationPeriod(db_diagnostics) ## ----------------------------------------------------------------------------- # tablePerson(db_diagnostics) ## ----------------------------------------------------------------------------- # tableClinicalRecords(db_diagnostics)