```
context("influence")
model <- lm(mpg ~ disp + hp + wt + drat + qsec, data = mtcars)
test_that("leverage matches hat from influence.measures", {
s1 <- round(ols_leverage(model), 4)
s2 <- unname(round(influence.measures(model)[[1]][, 10], 4))
expect_equal(s1, s2)
})
test_that("hadi measure matches the textbook example", {
model <- lm(Nitrogen ~ ComIndl, data = rivers)
act <- unname(round(ols_hadi(model)$hadi, 2))
exp <- c(
0.06, 0.07, 0.58, 0.77, 2.04, 0.10, 0.60, 0.37, 0.07, 0.08,
0.13, 0.14, 0.15, 0.13, 0.16, 0.09, 0.12, 0.09, 0.19, 0.11
)
expect_equal(act, exp)
})
test_that("predicted rsquared output matches the expected result", {
model <- lm(y ~ x4, data = cement)
act <- round(ols_pred_rsq(model), 3)
expect_equal(act, 0.56)
model <- lm(y ~ x2, data = cement)
act <- round(ols_pred_rsq(model), 3)
expect_equal(act, 0.557)
model <- lm(y ~ x1 + x2, data = cement)
act <- round(ols_pred_rsq(model), 3)
expect_equal(act, 0.965)
model <- lm(y ~ x1 + x4, data = cement)
act <- round(ols_pred_rsq(model), 3)
expect_equal(act, 0.955)
model <- lm(y ~ x1 + x2 + x4, data = cement)
act <- round(ols_pred_rsq(model), 3)
expect_equal(act, 0.969)
model <- lm(y ~ x1 + x2 + x3, data = cement)
act <- round(ols_pred_rsq(model), 3)
expect_equal(act, 0.967)
model <- lm(y ~ x1 + x2 + x3 + x4, data = cement)
act <- round(ols_pred_rsq(model), 3)
expect_equal(act, 0.959)
})
```

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