https://github.com/cran/bayestestR
Tip revision: aee422d7cd4098dad89e31ecc6dfd9e539d2bda4 authored by Dominique Makowski on 06 August 2019, 10:20:02 UTC
version 0.2.5
version 0.2.5
Tip revision: aee422d
test-ci.R
context("ci")
test_that("ci", {
testthat::expect_equal(ci(rnorm_perfect(1000), ci = .90)$CI_low[1], -1.6361, tolerance = 0.02)
testthat::expect_equal(nrow(ci(rnorm_perfect(1000), ci = c(.80, .90, .95))), 3, tolerance = 0.01)
testthat::expect_equal(ci(rnorm_perfect(1000), ci = 1)$CI_low[1], -3.09, tolerance = 0.02)
# testthat::expect_equal(length(capture.output(print(ci(rnorm_perfect(1000))))))
# testthat::expect_equal(length(capture.output(print(ci(rnorm_perfect(1000), ci = c(.80, .90))))))
testthat::expect_warning(ci(c(2, 3, NA)))
testthat::expect_warning(ci(c(2, 3)))
testthat::expect_warning(ci(rnorm_perfect(1000), ci = 950))
x <- data.frame(replicate(4, rnorm(100)))
x <- ci(x, ci = c(0.68, 0.89, 0.95))
a <- reshape_ci(x)
testthat::expect_equal(c(nrow(x), ncol(x)), c(12, 4))
testthat::expect_true(all(reshape_ci(a) == x))
})