tests/testthat/test-forestcox.R

In jstable: Create Tables from Different Types of Regression

context("Show sub-group table")


test_that("Run TableSubgroupMultiCox", {
  library(survival)
  library(dplyr)
  lung %>%
    mutate(
      status = as.integer(status == 1),
      sex = factor(sex),
      kk = factor(as.integer(pat.karno >= 70)),
      kk1 = factor(as.integer(pat.karno >= 60))
    ) -> lung

  expect_is(TableSubgroupMultiCox(Surv(time, status) ~ sex, time_eventrate = 100, data = lung), "data.frame")
  expect_warning(TableSubgroupMultiCox(Surv(time, status) ~ sex, var_subgroups = c("kk", "kk1"), data = lung, time_eventrate = 100))
  expect_warning(TableSubgroupMultiCox(Surv(time, status) ~ sex, var_subgroups = c("kk", "kk1"), data = lung, time_eventrate = 100, line = TRUE))

  ## Survey data
  library(survey)
  expect_warning(data.design <- svydesign(id = ~1, data = lung))
  expect_is(TableSubgroupMultiCox(Surv(time, status) ~ sex, data = data.design, time_eventrate = 100), "data.frame")
  expect_warning(TableSubgroupMultiCox(Surv(time, status) ~ sex, var_subgroups = c("kk", "kk1"), data = data.design, time_eventrate = 100))
  expect_warning(TableSubgroupMultiCox(Surv(time, status) ~ sex, var_subgroups = c("kk", "kk1"), data = data.design, time_eventrate = 100, line = TRUE))
})