context("lmbeta-lm-beta")

skip_on_cran()

skip_if_not_installed("modeltests")
library(modeltests)

skip_if_not_installed("lm.beta")
library(lm.beta)

test_that("lm.beta tidier arguments", {
  check_arguments(tidy.lm.beta)
})

fit <- lm.beta::lm.beta(lm(mpg ~ wt, mtcars))
fit2 <- lm.beta::lm.beta(lm(mpg ~ wt + log(disp), mtcars))

# the cyl:qsec term isn't defined for this fit
na_row_data <- mtcars[c(6, 9, 13:15, 22), ]
fit_na_row <- lm(mpg ~ cyl * qsec + gear, data = na_row_data)

# rank-deficient fit
rd_data <- data.frame(y = rnorm(10), x = letters[seq_len(10)])
fit_rd <- lm(y ~ x - 1, data = rd_data)

test_that("tidy.lm.beta works", {
  td <- tidy(fit)
  td2 <- tidy(fit2)

  # conf.int = TRUE works for rank deficient fits
  # should get a "NaNs produced" warning
  expect_warning(td_rd <- tidy(fit_rd, conf.int = TRUE))

  check_tidy_output(td)
  check_tidy_output(td2)

  check_tidy_output(td_rd)

  check_dims(td, expected_rows = 2)
  check_dims(td2, expected_rows = 3)

  expect_equal(td$term, c("(Intercept)", "wt"))
  expect_equal(td2$term, c("(Intercept)", "wt", "log(disp)"))

  # shouldn't error. regression test for issues 166, 241
  # rows for confidence intervals of undefined terms should be dropped
  expect_error(tidy(fit_na_row, conf.int = TRUE), NA)
})