skip_on_os(c("mac", "solaris"))
test_that("data_grid", {
data(efc, package = "ggeffects")
fit <- lm(barthtot ~ c12hour + neg_c_7 + c161sex + c172code, data = efc)
# defaults
nd <- new_data(fit, c("c12hour [meansd]", "c161sex"))
pr <- ggpredict(fit, c("c12hour [meansd]", "c161sex"))
expect_equal(
predict(fit, type = "response", newdata = nd),
pr$predicted[order(pr$group, pr$x)],
ignore_attr = TRUE,
tolerance = 1e-4
)
# typical = "median"
nd <- new_data(fit, c("c12hour [meansd]", "c161sex"), typical = "median")
pr <- ggpredict(fit, c("c12hour [meansd]", "c161sex"), typical = "median")
expect_equal(
predict(fit, type = "response", newdata = nd),
pr$predicted[order(pr$group, pr$x)],
ignore_attr = TRUE,
tolerance = 1e-4
)
# condition
nd <- new_data(fit, c("c12hour [meansd]", "c161sex"), condition = c(c172code = 1))
pr <- ggpredict(fit, c("c12hour [meansd]", "c161sex"), condition = c(c172code = 1))
expect_equal(
predict(fit, type = "response", newdata = nd),
pr$predicted[order(pr$group, pr$x)],
ignore_attr = TRUE,
tolerance = 1e-4
)
})
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