# kmg01 functions ---- test_that("kmg01 works as expected", { withr::with_options(opts_partial_match_old, { filter_data <- dunlin::log_filter(syn_data, PARAMCD == "OS", "adtte") pre_data <- expect_silent(kmg01_pre(filter_data, dataset = "adtte")) raw_res <- expect_silent(kmg01_main(pre_data, dataset = "adtte")) expect_true(ggplot2::is.ggplot(raw_res)) }) }) # kmg01 ---- test_that("kmg01 works as expected with custom color set", { skip_on_os("windows") withr::with_options(opts_partial_match_old, { col <- c( "A: Drug X" = "black", "B: Placebo" = "blue", "C: Combination" = "gray" ) filter_data <- dunlin::log_filter(syn_data, PARAMCD == "OS", "adtte") res <- expect_silent(run(kmg01, filter_data, dataset = "adtte", col = col)) expect_true(ggplot2::is.ggplot(res)) res <- expect_silent(run(kmg01, filter_data, dataset = "adtte", col = unname(col))) expect_true(ggplot2::is.ggplot(res)) }) }) test_that("kmg01 works if change pvalue, ties and conf level", { skip_on_os("windows") withr::with_options(opts_partial_match_old, { filter_data <- dunlin::log_filter(syn_data, PARAMCD == "OS", "adtte") res <- expect_silent(run(kmg01, filter_data, dataset = "adtte", pval_method = "log-rank", ties = "efron", conf_level = 0.99 )) expect_true(ggplot2::is.ggplot(res)) }) }) test_that("kmg01 works if change annotation position", { skip_on_os("windows") withr::with_options(opts_partial_match_old, { filter_data <- dunlin::log_filter(syn_data, PARAMCD == "OS", "adtte") res <- expect_silent(run(kmg01, filter_data, dataset = "adtte", annot_surv_med = FALSE, annot_coxph = TRUE, control_annot_coxph = control_coxph_annot(x = 0.78, y = 0.9) )) expect_true(ggplot2::is.ggplot(res)) }) }) test_that("kmg01 works for stratified analysis", { skip_on_os("windows") withr::with_options(opts_partial_match_old, { filter_data <- dunlin::log_filter(syn_data, PARAMCD == "OS", "adtte") res <- expect_silent(run(kmg01, filter_data, dataset = "adtte", annot_surv_med = FALSE, control_annot_coxph = tern::control_coxph_annot(x = 0.4, y = 0.5), control_annot_surv_med = tern::control_surv_med_annot(x = 0.99, y = 0.7), strata = c("STRATA1", "STRATA2") )) expect_true(ggplot2::is.ggplot(res)) }) })