test_that("pull_dag and pull_dag_data return the correct objects", { testthat::skip_on_ci() testthat::skip_on_cran() # Create a dagitty object dag <- dagify(y ~ x + z, x ~ z) # Create a tidy_dagitty object tidy_dag <- tidy_dagitty(dag, seed = 1234) # Test that pull_dag returns the correct dagitty object expect_equal(pull_dag(dag), dag) # Test that pull_dag returns the correct dagitty object from a tidy_dagitty object expect_equal(pull_dag(tidy_dag), dag) # Test that pull_dag_data returns the correct data frame expect_equal(pull_dag_data(dag, seed = 1234), pull_dag_data(tidy_dag)) # Test that pull_dag_data returns the correct data frame from a tidy_dagitty object expect_equal(pull_dag_data(tidy_dag), pull_dag_data(tidy_dag)) }) test_that("updating DAG and DAG data work", { tidy_dagitty_obj <- dagify(y ~ x + z, x ~ z) %>% tidy_dagitty() dag <- pull_dag(tidy_dagitty_obj) dag_data <- pull_dag_data(tidy_dagitty_obj) tidy_dagitty_obj <- tidy_dagitty_obj %>% dplyr::mutate(name = toupper(name), to = toupper(to)) %>% # recreate the DAG component update_dag() big_dag <- dagify(Y ~ X + Z, X ~ Z) expect_identical( names(big_dag), names(pull_dag(tidy_dagitty_obj)) ) tidy_dagitty_obj <- tidy_dagitty_obj %>% dplyr::left_join(data.frame( name = c("Y", "X", "Z"), status = c("exposure", "outcome", "latent"), adjusted = c("unadjusted", "unadjusted", "adjusted") ), by = "name") %>% # recreate the DAG component update_dag() status_dag <- pull_dag(tidy_dagitty_obj) expect_identical(dagitty::exposures(status_dag), "Y") expect_identical(dagitty::outcomes(status_dag), "X") expect_identical(dagitty::latents(status_dag), "Z") expect_identical(dagitty::adjustedNodes(status_dag), "Z") update_dag(tidy_dagitty_obj) <- big_dag expect_identical(pull_dag(tidy_dagitty_obj), big_dag) dag_data$label <- paste0(dag_data$name, "(observed)") update_dag_data(tidy_dagitty_obj) <- dag_data expect_identical(pull_dag_data(tidy_dagitty_obj), dag_data) })