test_that("best_model function returns best-model and mean", {
u1 <- unlist(best_model(rwToT_test_file_A, 36)$best_model_rmst_mean[2])
expected_result <- "Weibull"
expect_equal(u1, expected_result)
})
test_that("count_proportion function returns count and proportions", {
#for AML dataset there are 5 rows with CNSR status 0 and 18 with CNSR status 1
u2 <- count_proportion(rwToT_aml)
expected_result <- c("5 (21.7%)", "18 (78.3%)")
expect_equal(u2, expected_result)
})
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