context("Kaplan-meier plot")

library(survival)
# data(colon);data(pbc)

test_that("Run jskm", {
  fit <- survfit(Surv(time, status) ~ rx, data = colon)
  expect_is(jskm(fit, timeby = 500, table = T, pval = T), "gg")
  expect_is(jskm(fit,
    table = T, pval = T, label.nrisk = "No. at risk", timeby = 365, xlabs = "Time(Day)", ylabs = "Survival", marks = F, xlims = c(0, 3500), ylims = c(0.25, 1),
    ystratalabs = c("Obs", "Lev", "Lev + 5FU"), ystrataname = "rx"
  ), "gg")
  expect_is(jskm(fit, timeby = 500), "gg")
  expect_is(jskm(fit, timeby = 500, main = "kaplan", xlabs = "time", ylabs = "Suvrival (%)", surv.scale = "percent"), "gg")
  expect_is(jskm(fit, pval.size = 7, pval.coord = c(100, 0.2), pval.testname = T, showpercent = T), "gg")
  expect_is(jskm(fit, timeby = 500, ci = T), "gg")
  expect_is(jskm(fit, timeby = 500, legend = F, showpercent = T), "gg")
  expect_is(jskm(fit, timeby = 500, cumhaz = T, cut.landmark = 500, showpercent = T), "gg")

  expect_is(jskm(fit, cluster.option = "cluster", cluster.var = "id", pval = T), "gg")
  expect_warning(jskm(fit, cluster.option = "frailty", cluster.var = "id", pval = T))

  fit3 <- survfit(Surv(time, status) ~ rx + frailty(id), data = colon)
  expect_is(jskm(fit3), "gg")
  expect_is(jskm(fit3, pval = T), "gg")
})




test_that("Run svyjskm", {
  pbc$randomized <- with(pbc, !is.na(trt) & trt > 0)
  biasmodel <- glm(randomized ~ age * edema, data = pbc)
  pbc$randprob <- fitted(biasmodel)
  dpbc <- survey::svydesign(id = ~1, prob = ~randprob, strata = ~edema, data = subset(pbc, randomized))
  s1 <- survey::svykm(Surv(time, status > 0) ~ sex, design = dpbc, se = T)
  expect_is(svyjskm(s1, ci = T), "gg")
  expect_is(svyjskm(s1, ci = F, ylabs = "Suvrival (%)", surv.scale = "percent"), "gg")
  expect_is(svyjskm(s1, table = T, pval = T, design = dpbc), "gg")
  expect_is(svyjskm(s1, ci = T, cumhaz = T), "gg")
  expect_is(svyjskm(s1, ci = F, cumhaz = T), "gg")
  s2 <- survey::svykm(Surv(time, status > 0) ~ sex, design = dpbc, se = F)
  expect_is(svyjskm(s2, ci = F), "gg")
  expect_is(svyjskm(s2, design = dpbc, pval = T, pval.size = 7, pval.coord = c(100, 0.2), pval.testname = T), "gg")
  # pv <- svyjskm(s2, pval = T, design = dpbc)
  # expect_is(pv, "gg")
  expect_error(svyjskm(s2, ci = T))
  s3 <- survey::svykm(Surv(time, status > 0) ~ 1, design = dpbc, se = T)
  expect_is(svyjskm(s3, ci = T), "gg")
  expect_is(svyjskm(s3, ci = F, showpercent = T), "gg")
  s4 <- survey::svykm(Surv(time, status > 0) ~ 1, design = dpbc, se = F)
  expect_is(svyjskm(s4, ci = F), "gg")
  expect_error(svyjskm(s4, ci = T, showpercent = T))
})