context("anscombe works for two lm examples across all argument permutations")

# theargs <- formals(anscombe)

carslm <- lm(dist ~ speed, data = cars)
bostonlm <- lm(medv ~ crim + zn + indus + chas + nox + rm +
                 age + dis + rad + tax + ptratio + b + lstat, data = BostonHousing)

theargs <- list("studentise" = c(TRUE, FALSE), mainlm = list(carslm, bostonlm))

allargs <- expand.grid(theargs, stringsAsFactors = FALSE)

test_that("linear regression works with all permutations of formals", {
  pvals <- vapply(1:nrow(allargs), function(i) do.call(what = anscombe,
        args = append(list("statonly" = FALSE),
        unlist(allargs[i, ], recursive = FALSE)))$p.value, NA_real_)
  lapply(1:length(pvals), function(i) expect_true(is.btwn01(pvals[i])))
})