Nothing
test_that("min_obs is validated as a whole number >= 1", {
d <- synth_panel(n_id = 5, days = 2, beeps = 12)
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
min_obs = 2.5, n_lambda = 5), "min_obs")
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
min_obs = 0, n_lambda = 5), "min_obs")
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
min_obs = NA, n_lambda = 5), "min_obs")
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
min_obs = "2", n_lambda = 5), "min_obs")
})
test_that("over-large min_obs errors clearly instead of crashing", {
d <- synth_panel(n_id = 5, days = 2, beeps = 12)
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
min_obs = 9999, n_lambda = 5),
"No observations remain")
})
test_that("unknown subject is rejected", {
d <- synth_panel(n_id = 5, days = 2, beeps = 12)
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
subject = 999, n_lambda = 5), "not found")
})
test_that("optional column args must name real columns", {
d <- synth_panel(n_id = 5, days = 2, beeps = 12)
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
day = "nope", n_lambda = 5), "not found")
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
beep = c("a", "b"), n_lambda = 5),
"single column name")
})
test_that("scalar logical flags are validated", {
d <- synth_panel(n_id = 5, days = 2, beeps = 12)
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
scale = "yes", n_lambda = 5), "TRUE/FALSE")
expect_error(fit_graphical_var(d, vars = c("A", "B", "C"), id = "id",
lambda_min_ratio = -1, n_lambda = 5))
})
test_that("fit_mlvar / fit_gimme validate their column args", {
d <- synth_panel(n_id = 6, days = 2, beeps = 12)
expect_error(
fit_mlvar(d, vars = c("A", "B", "C"), id = "id", day = "missing"),
"not found"
)
skip_if_not_installed("lavaan")
expect_error(
fit_gimme(d, vars = c("A", "B", "C"), id = "id", beep = c("x", "y")),
"single column name"
)
})
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