Nothing
test_that("check_normality | afex", {
skip_if_not(getRversion() >= "4.0.0")
skip_if_not_installed("afex")
data(obk.long, package = "afex")
obk.long$treatment <- as.character(obk.long$treatment)
suppressWarnings(suppressMessages({
aM <- afex::aov_car(value ~ treatment * gender + Error(id / (phase * hour)),
data = obk.long
)
aW <- afex::aov_car(value ~ Error(id / (phase * hour)),
data = obk.long
)
aB <- afex::aov_car(value ~ treatment * gender + Error(id),
data = obk.long
)
}))
msg <- capture.output(pM <- check_normality(aM))
msg <- capture.output(pW <- check_normality(aW))
msg <- capture.output(pB <- check_normality(aB))
expect_equal(pM, 0.2054236, ignore_attr = TRUE, tolerance = 0.001)
expect_equal(pW, 0.5496325, ignore_attr = TRUE, tolerance = 0.001)
expect_equal(pB, 0.734765, ignore_attr = TRUE, tolerance = 0.001)
})
test_that("check_normality | glmmTMB", {
skip_if_not_installed("glmmTMB")
skip_if_not(getRversion() >= "4.0.0")
data("Salamanders", package = "glmmTMB")
m <- glmmTMB::glmmTMB(
count ~ mined + spp + (1 | site),
family = poisson,
data = Salamanders
)
out <- check_normality(m, effects = "random")
expect_equal(attributes(out)$re_groups, "site: (Intercept)")
expect_equal(as.vector(out), 0.698457693553405, tolerance = 1e-3)
expect_message(
out <- check_normality(m, effects = "fixed"),
"for linear models"
)
expect_null(out)
})
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