x <- c14_calibrate(c(1500, 1600, 1700), rep(20, 3))
test_that("cal_sum() returns a cal vector of length 1", {
expect_vector(cal_sum(x), cal(), 1)
})
test_that("cal_sum(normalise = TRUE) normalised pdens to 1", {
expect_equal(sum(cal_pdens(cal_sum(x, normalise = TRUE))[[1]]), 1)
})
test_that("sum() is an alias of cal_sum() for cal objects", {
expect_equal(sum(x), cal_sum(x))
})
test_that("cal_density() has the expected prototype", {
expect_vector(
cal_density(x),
tibble::tibble(
age = era::yr(era = "cal BP"),
.estimate = numeric(),
.error = numeric()
),
size = length(cal_age_common(x))
)
})
test_that("density() is an alias for cal_density() for cal objects", {
# set tolerance to compensate for non-determinism in stats::density()
expect_equal(density(x), cal_density(x), tolerance = 0.005)
})
test_that("cal_sample() has the expected dimensions", {
times <- 5
expect_equal(sapply(cal_sample(x, times), length), rep(length(x), times))
})
test_that("cal_bootstraps() has the expected dimensions", {
times <- 5
strata <- c("a", "b", "b")
expect_equal(
sapply(cal_bootstraps(x, times), length),
rep(length(x), times)
)
expect_equal(
sapply(cal_bootstraps(x, times, strata), length),
rep(length(x), times)
)
})
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