test_that("plot.fect executes for gap plot without error", { suppressWarnings(try(data("simdata", package = "fect"), silent = TRUE)) expect_true(exists("simdata")) set.seed(4) out <- fect::fect( Y ~ D + X1 + X2, data = simdata, index = c("id", "time"), method = "ife", r = 1, CV = FALSE, se = FALSE, parallel = FALSE ) # Just ensure the plotting call produces a ggplot object p <- plot.fect(out, type = "gap", show.count = FALSE) expect_s3_class(p, "ggplot") }) test_that("plot.fect executes for heterogeneous (hte) plot without error", { suppressWarnings(try(data("simdata", package = "fect"), silent = TRUE)) expect_true(exists("simdata")) set.seed(4) out <- fect::fect( Y ~ D + X1 + X2, data = simdata, index = c("id", "time"), method = "ife", r = 1, CV = FALSE, se = FALSE, parallel = FALSE ) p <- plot.fect(out, type = "hte", covariate = "X1", show.count = FALSE) expect_s3_class(p, "ggplot") }) test_that("plot.fect executes for calendar plot with relative.time=TRUE without error", { suppressWarnings(try(data("simdata", package = "fect"), silent = TRUE)) expect_true(exists("simdata")) set.seed(4) out <- fect::fect( Y ~ D + X1 + X2, data = simdata, index = c("id", "time"), method = "ife", r = 1, CV = FALSE, se = FALSE, parallel = FALSE ) p <- plot.fect(out, type = "calendar", relative.time = TRUE, show.count = TRUE) expect_s3_class(p, "ggplot") }) test_that("plot.fect executes for heterogeneous pretreatment plot with num.pretreatment without error", { suppressWarnings(try(data("simdata", package = "fect"), silent = TRUE)) expect_true(exists("simdata")) set.seed(4) out <- fect::fect( Y ~ D + X1 + X2, data = simdata, index = c("id", "time"), method = "ife", r = 1, CV = FALSE, se = FALSE, parallel = FALSE ) p <- plot.fect(out, type = "hte", covariate = "X1", pretreatment = TRUE, num.pretreatment = 3, show.count = FALSE) expect_s3_class(p, "ggplot") })