test_that("error handling works", {
df <- data.frame(
y = sample.int(30, replace = TRUE),
x = sample(c("A", "B"), 30, replace = TRUE, prob = c(0.6, 0.4))
)
m <- stats::glm(y ~ x, df, family = poisson())
expect_error(
r2(m),
glue::glue(
"The method `r2` is not yet implemented for an object \\
of class `glm`.
If you would like it to be implemented, please file an issue at \\
https://github.com/verasls/lvmisc/issues."
),
class = "error_no_method_for_class"
)
expect_error(
r2("m"),
glue::glue(
"The method `r2` is not yet implemented for an object \\
of class `character`.
If you would like it to be implemented, please file an issue at \\
https://github.com/verasls/lvmisc/issues."
),
class = "error_no_method_for_class"
)
})
test_that("r2 lm and lmerMod methods works", {
m <- stats::lm(disp ~ mpg, mtcars)
out <- r2(m)
expect_equal(names(out), c("R2", "R2_adj"))
m <- lme4::lmer(
Sepal.Length ~ Sepal.Width + Petal.Length + (1 | Species), data = iris
)
out <- r2(m)
expect_equal(names(out), c("R2_marg", "R2_cond"))
})
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