Nothing
skip_on_cran()
skip_if_not(is_pkg_installed(c("broom.helpers", "broom"), reference_pkg = "gtsummary"))
test_that("add_nevent.tbl_uvregression() works", {
expect_silent(
tbl <-
tbl_uvregression(
trial,
y = response,
method = glm,
method.args = list(family = binomial),
include = c(trt),
exponentiate = TRUE,
hide_n = TRUE
)
)
# total N added to table is accurate
expect_silent(
res <- tbl |> add_nevent()
)
expect_equal(
as.data.frame(res, col_label = FALSE)$stat_nevent |>
na.omit() |>
unique(),
tidyr::drop_na(trial, response, trt) |>
dplyr::filter(response == 1) |>
nrow() |>
as.character()
)
# N added to levels is accurate
expect_silent(
res <- tbl |> add_nevent(location = "level")
)
expect_equal(
as.data.frame(res, col_label = FALSE)$stat_nevent |>
na.omit(),
tidyr::drop_na(trial, response, trt) |>
dplyr::filter(response == 1) |>
with(table(trt)) |>
as.integer() |>
as.character(),
ignore_attr = TRUE
)
# N added to levels and labels is accurate
expect_error(
res <- tbl |> add_nevent(location = c("label", "level")),
NA
)
expect_equal(
as.data.frame(res, col_label = FALSE)$stat_nevent |>
na.omit(),
tidyr::drop_na(trial, response, trt) |>
dplyr::filter(response == 1) |>
with(table(trt)) |>
as.integer() %>%
{c(sum(.), .)} |> # styler: off
as.character(),
ignore_attr = TRUE
)
})
test_that("add_nevent.tbl_uvregression() messaging for linear model", {
expect_silent(
tbl1 <- tbl_uvregression(
trial,
x = trt,
include = c(marker, age),
show_single_row = trt,
method = lm,
hide_n = TRUE
)
)
expect_error(
res <- tbl1 |> add_nevent(),
"Reporting event N on label rows is not available for this model type."
)
})
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