Nothing
model <- lm(mpg ~ disp + hp + wt + drat + qsec, data = mtcars)
test_that("when fitted.values == TRUE, fitted values from the regression\n\tare used for the test", {
b <- ols_test_score(model)
expect_equal(round(b$score, 3), 1.269)
expect_equal(round(b$p, 3), 0.26)
expect_equal(b$df, 1)
expect_true(b$fv)
expect_false(b$rhs)
expect_match(b$preds, "fitted values of mpg")
expect_match(b$resp, "mpg")
})
test_that("when fitted.values == TRUE and rhs == TRUE, predictors from the\n\tmodel are used for the test", {
b <- ols_test_score(model, rhs = TRUE)
expect_equal(round(b$score, 3), 2.516)
expect_equal(round(b$p, 3), 0.774)
expect_equal(b$df, 5)
expect_false(b$fv)
expect_true(b$rhs)
expect_equal(b$preds, c("disp", "hp", "wt", "drat", "qsec"), ignore_attr = TRUE)
expect_match(b$resp, "mpg")
})
test_that("when vars != NULL, variables specified from the are\n\tused for the test", {
b <- ols_test_score(model, vars = c("disp", "hp"))
expect_equal(round(b$score, 3), 0.969)
expect_equal(round(b$p, 3), 0.616)
expect_equal(b$df, 2)
expect_false(b$fv)
expect_false(b$rhs)
expect_equal(b$preds, c("disp", "hp"), ignore_attr = TRUE)
expect_match(b$resp, "mpg")
})
test_that("when vars != NULL and rhs == TRUE, predictors in the model are\n\tused for the test", {
b <- ols_test_score(model, rhs = TRUE, vars = c("disp", "hp"))
expect_equal(round(b$score, 3), 2.516)
expect_equal(round(b$p, 3), 0.774)
expect_equal(b$df, 5)
expect_false(b$fv)
expect_true(b$rhs)
expect_equal(b$preds, c("disp", "hp", "wt", "drat", "qsec"), ignore_attr = TRUE)
expect_match(b$resp, "mpg")
})
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