tests/testthat/test-add_data_missings.R

In ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

skip_on_os(c("mac", "solaris"))
skip_if_not_installed("datawizard")
skip_if_not_installed("withr")

withr::with_environment(
  new.env(),
  test_that("ggpredict, raw data available", {
    data(mtcars)

    # add missing data
    mpg_miss <- mtcars
    set.seed(123)
    mpg_miss$unif <- runif(nrow(mpg_miss))
    mpg_miss$mpg[1] <- NA
    mpg_miss$cyl[2] <- NA
    mpg_miss$unif[3] <- NA

    mtcars_miss <- mpg_miss

    lm_model <- lm(mpg ~ cyl, data = mtcars_miss, weights = mtcars_miss$unif)
    out <- ggpredict(model = lm_model, terms = "cyl")
    expect_false(is.null(attributes(out)$rawdata))

    lm_model_ok <- lm(mpg ~ cyl, data = mtcars_miss)
    out <- ggpredict(model = lm_model_ok, terms = "cyl")
    expect_false(is.null(attributes(out)$rawdata))
  })
)