Nothing
test_that("r2 lm", {
data(iris)
model <- lm(Sepal.Length ~ Species + Petal.Length, data = iris)
out <- r2(model)
expect_equal(out$R2, c(R2 = 0.83672), tolerance = 1e-3)
expect_equal(out$R2_adjusted, c(`adjusted R2` = 0.83337), tolerance = 1e-3)
})
test_that("r2 lm, ci", {
data(iris)
model <- lm(Sepal.Length ~ Species + Petal.Length, data = iris)
out <- r2(model, ci = 0.95)
expect_equal(
out$R2,
c(R2 = 0.83672, CI_low = 0.77725, CI_high = 0.87665),
tolerance = 1e-3
)
expect_equal(
out$R2_adjusted,
c(`adjusted R2` = 0.83337, CI_low = 0.77282, CI_high = 0.87406),
tolerance = 1e-3
)
})
test_that("r2 glm", {
data(mtcars)
model <- glm(am ~ mpg, data = mtcars)
out <- r2(model)
expect_equal(out$R2, c(R2 = 0.3598), tolerance = 1e-3)
})
test_that("r2 glm, ci", {
data(mtcars)
model <- glm(am ~ mpg, data = mtcars)
out <- r2(model, ci = 0.95)
expect_equal(
out$R2,
c(R2 = 0.3598, CI_low = 0.09758, CI_high = 0.6066),
tolerance = 1e-3
)
})
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