Nothing
context("Interval info and median and modus information")
data("tumor")
ped <- tumor[1:200, ] %>% as_ped(Surv(days, status)~ complications + age,
cut=seq(0,400, by=100))
ped <- filter(ped, id %in% c(1:3, 135:137))
test_that("Interval infos correct", {
expect_data_frame(int_info(1:2), nrows=2L, ncols=5L)
expect_data_frame(int_info(2:1), nrows=2L, ncols=5L)
expect_data_frame(int_info(data.frame(x1 = c(1,0), x2=c(2, 1))), nrows = 2L, ncols = 5L)
expect_equal(names(int_info(1:2)), c("tstart", "tend", "intlen", "intmid", "interval"))
expect_equal(levels(int_info(1:2)$interval), c("(0,1]", "(1,2]"))
})
test_that("Interval info returned for ped objects", {
expect_data_frame(int_info(ped), nrows=4L, ncols=5L, types=c("numeric", "factor"))
})
test_that("Sample info returned for data frame", {
expect_data_frame(si <- sample_info(tumor), nrows=1L, ncols=9L)
expect_equal(colnames(si), colnames(tumor))
expect_data_frame(si <- tumor %>% group_by(complications, status) %>% sample_info(),
nrows=4L, ncols=9L)
expect_equal(colnames(si), colnames(tumor))
})
test_that("Sample info returned for ped objects", {
expect_data_frame(sample_info(ped), nrows=1, ncols=2)
})
test_that("Sample info returned for grouped ped objects", {
expect_data_frame(group_by(ped, complications) %>% sample_info(),
nrows=2, ncols=2)
})
test_that("ped info returned for (grouped) ped objects", {
# normal
expect_data_frame(ped_info(ped), nrows=4L, ncols=7L)
#grouped
expect_data_frame(group_by(ped, complications) %>% ped_info(), nrows=8L, ncols=7L)
# without covariates
expect_data_frame(ped_info(select(ped, -complications, -age)), nrows=4L, ncols=5L)
})
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