Nothing
test_that("parameters_type-1", {
m0 <- lm(mpg ~ am * cyl, mtcars)
m1 <- lm(mpg ~ am * scale(cyl), mtcars)
m2 <- lm(mpg ~ scale(am) * cyl, mtcars)
m3 <- lm(mpg ~ scale(am) * scale(cyl), mtcars)
expect_equal(parameters_type(m0)[4, "Type"], "interaction")
expect_equal(parameters_type(m1)[4, "Type"], "interaction")
expect_equal(parameters_type(m2)[4, "Type"], "interaction")
expect_equal(parameters_type(m3)[4, "Type"], "interaction")
})
test_that("parameters_type-2", {
model <- lm(Sepal.Length ~ Petal.Width * scale(Petal.Length, TRUE, FALSE), data = iris)
expect_equal(
parameters_type(model)$Type,
c("intercept", "numeric", "numeric", "interaction")
)
})
test_that("parameters_type works with logicals", {
data(mtcars)
tmp <- mtcars
tmp$am <- as.logical(tmp$am)
tmp$cyl <- as.factor(tmp$cyl)
mod <- lm(mpg ~ am + cyl + disp, tmp)
expect_equal(
parameters_type(mod),
data.frame(
Parameter = c("(Intercept)", "amTRUE", "cyl6", "cyl8", "disp"),
Type = c("intercept", "logical", "factor", "factor", "numeric"),
Link = c("Mean", "Difference", "Difference", "Difference", "Association"),
Term = c("(Intercept)", "amTRUE", "cyl6", "cyl8", "disp"),
Variable = c(NA, "am", "cyl", "cyl", "disp"),
Level = c(NA, "TRUE", "6", "8", NA),
Secondary_Parameter = c(
NA_character_,
NA_character_,
NA_character_,
NA_character_,
NA_character_
),
Secondary_Type = c(NA, NA, NA, NA, NA),
Secondary_Link = c(NA, NA, NA, NA, NA),
Secondary_Term = c(NA, NA, NA, NA, NA),
Secondary_Variable = c(NA, NA, NA, NA, NA),
Secondary_Level = c(NA, NA, NA, NA, NA),
Tertiary_Parameter = c(NA, NA, NA, NA, NA)
),
ignore_attr = TRUE
)
})
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