Nothing
context("Test as_ped_cr functions")
test_that("Trafo works and attributes are appended.", {
# preparations
ped <- as_ped(
data = sir_adm,
formula = Surv(time, status) ~ age + pneu,
cut = c(0, 10, 100)
)
expect_data_frame(ped, nrow = 12L * 2L, ncols = 9L)
expect_is(ped, "ped_cr_union")
expect_subset(c("ped_status", "tstart", "tend",
"interval", "offset", "cause"), names(ped))
expect_is(attr(ped, "breaks"), "numeric")
expect_is(attr(ped, "intvars"), "character")
expect_is(attr(ped, "id_var"), "character")
expect_equal(attr(ped, "id_var"), "id")
expect_equal(sum(as.numeric(ped$cause)), 36)
# check that trafo can be recovered
ped2 <- as_ped(ped, newdata = sir_adm)
expect_equal(ped, ped2, check.attributes = FALSE)
# check that list output identical for given cut points
ped_list <- as_ped(
data = sir_adm,
formula = Surv(time, status) ~ age + pneu,
cut = c(0, 10, 100),
combine = FALSE)
ped2 <- do.call(rbind, ped_list)
expect_true(all.equal(do.call(rbind, ped_list), ped, check.attributes = FALSE))
expect_identical(length(ped_list), 2L)
expect_identical(class(ped_list), c("ped_cr_list", "ped_cr", "ped", "list"))
expect_identical(names(attributes(ped_list)), c("class", "names", "trafo_args", "risks"))
expect_identical(length(attr(ped_list, "trafo_args")$cut), 2L)
# check that trafo can be recovered for ped list objects
ped_list2 <- as_ped(ped_list, newdata = sir_adm)
expect_equal(ped_list, ped_list2, check.attributes = FALSE)
# test when split points not specified
ped <- as_ped(data = sir_adm, formula = Surv(time, status) ~ .)
expect_data_frame(ped, nrows = 56L, ncols = 10L)
expect_equal(sum(as.numeric(ped$cause)), 84L)
ped_list <- as_ped_cr(sir_adm, Surv(time, status) ~ ., combine = FALSE)
expect_identical(attr(ped_list[[1]], "breaks"), c(4L, 10L, 24L, 37L, 101L))
expect_identical(attr(ped_list[[2]], "breaks"), c(22L, 25L))
ped_list2 <- as_ped(ped_list, newdata = sir_adm)
expect_equal(ped_list, ped_list2, check.attributes = FALSE)
})
test_that("Trafo works for more than two risks.", {
# preparations
sir_adm$status[2] <- 3
ped <- as_ped(
data = sir_adm,
formula = Surv(time, status) ~ age + pneu,
cut = c(0, 10, 100)
)
expect_data_frame(ped, nrow = 12L * 3L, ncols = 9L)
expect_is(ped, "ped_cr_union")
expect_subset(c("ped_status", "tstart", "tend",
"interval", "offset", "cause"), names(ped))
expect_is(attr(ped, "breaks"), "numeric")
expect_is(attr(ped, "intvars"), "character")
expect_is(attr(ped, "id_var"), "character")
expect_equal(attr(ped, "id_var"), "id")
expect_equal(sum(as.numeric(ped$cause)), 72)
expect_equal(sum(ped$ped_status[ped$cause == 3L]), 1)
})
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