swh:1:snp:2c68a6c5a8af2f06ac2c0225927f25b54fd1f9d0
Tip revision: 4936034770c69a8db2855f46f578e34116ffa383 authored by Dominique Makowski on 20 October 2019, 06:20:02 UTC
version 0.4.0
version 0.4.0
Tip revision: 4936034
test-p_significance.R
context("p_significance")
test_that("p_significance", {
set.seed(333)
x <- bayestestR::distribution_normal(10000, 1, 1)
ps <- bayestestR::p_significance(x)
testthat::expect_equal(as.numeric(ps), 0.816, tolerance = 0.1)
testthat::expect_equal(nrow(p_significance(data.frame(replicate(4, rnorm(100))))), 4)
testthat::expect_is(ps, "p_significance")
testthat::expect_equal(tail(capture.output(print(ps)), 1), "ps [0.10] = 81.60%")
})
if (require("insight")) {
m <- insight::download_model("stanreg_merMod_5")
p <- insight::get_parameters(m, effects = "all")
testthat::expect_equal(
p_significance(m, effects = "all")$ps[1],
0.988,
tolerance = 1e-3
)
}