skip_on_os(c("mac", "solaris"))
skip_if_not_installed("betareg")
skip_if_not_installed("datawizard")
test_that("predictions and SE with character focal terms", {
set.seed(1)
ex <- data.frame(
x = rnorm(2000),
group = sample(letters[1:4], size = 2000, replace = TRUE),
stringsAsFactors = FALSE
)
ex <- datawizard::data_modify(
ex,
group_value = datawizard::recode_into(
group == "a" ~ 1,
group == "b" ~ 2,
group == "c" ~ 0,
group == "d" ~ -1
),
y_latent = x + rnorm(2000) + group_value,
y = pnorm(y_latent, sd = 3)
)
beta_fit <- betareg::betareg(y ~ x + group, data = ex)
expect_message(
ggpredict(beta_fit, terms = c("x", "group [a, b]")),
regex = "Some of the focal terms are of type `character`"
)
})
test_that("predictions and SE work with factor focal terms", {
set.seed(1)
ex <- data.frame(
x = rnorm(2000),
group = sample(letters[1:4], size = 2000, replace = TRUE),
stringsAsFactors = FALSE
)
ex <- datawizard::data_modify(
ex,
group_value = datawizard::recode_into(
group == "a" ~ 1,
group == "b" ~ 2,
group == "c" ~ 0,
group == "d" ~ -1
),
y_latent = x + rnorm(2000) + group_value,
y = pnorm(y_latent, sd = 3),
group = as.factor(group)
)
beta_fit <- betareg::betareg(y ~ x + group, data = ex)
out <- ggpredict(beta_fit, terms = c("x", "group [a, b]"))
expect_false(anyNA(out$conf.low))
})
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