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test_that("unnormalize work as expected", {
x <- normalize(c(0, 1, 5, -5, -2))
expect_equal(
unnormalize(x),
c(0, 1, 5, -5, -2),
ignore_attr = TRUE
)
expect_error(
unnormalize(c(0, 1, 5, -5, -2)),
"Can't unnormalize variable"
)
})
test_that("unnormalize error if not supported", {
expect_error(
unnormalize(c("a", "b")),
"can't be unnormalized"
)
})
test_that("unnormalize and unstandardized x 4", {
set.seed(123)
x <- rnorm(6, 4, 10)
z <- standardise(x)
expect_named(attributes(z), c("center", "scale", "robust", "class"))
expect_equal(attributes(z)$center, 8.47, tolerance = 0.01)
expect_equal(unstandardise(z), x, ignore_attr = TRUE)
z <- center(x)
expect_named(attributes(z), c("center", "scale", "robust", "class"))
expect_equal(unstandardise(z), x, ignore_attr = TRUE)
z <- normalize(x)
expect_named(attributes(z), c(
"include_bounds", "flag_bounds", "min_value",
"vector_length", "range_difference", "class"
))
expect_equal(unnormalize(z), x, ignore_attr = TRUE)
z <- change_scale(x, to = c(-3, 14.5))
expect_named(attributes(z), c(
"min_value", "max_value", "new_min", "new_max",
"range_difference", "to_range", "class"
))
expect_equal(unnormalize(z), x, ignore_attr = TRUE)
z <- change_scale(x, range = c(-100, 100))
expect_named(attributes(z), c(
"min_value", "max_value", "new_min", "new_max",
"range_difference", "to_range", "class"
))
expect_equal(unnormalize(z), x, ignore_attr = TRUE)
})
# select helpers ------------------------------
test_that("unnormalize regex", {
x <- normalize(mtcars, select = "mpg")
expect_identical(
unnormalize(x, select = "pg", regex = TRUE),
unnormalize(x, select = "mpg")
)
})
test_that("unnormalize: grouped data", {
skip_if_not_installed("poorman")
# 1 group, 1 normalized var
norm <- poorman::group_by(mtcars, cyl)
norm <- normalize(norm, "mpg")
expect_identical(
poorman::ungroup(unnormalize(norm, "mpg")),
mtcars,
ignore_attr = TRUE # unnormalize removed rownames
)
# 2 groups, 1 normalized var
set.seed(123)
test <- iris
test$grp <- sample(c("A", "B"), nrow(test), replace = TRUE)
norm <- poorman::group_by(test, Species, grp)
norm <- normalize(norm, "Sepal.Length")
expect_identical(
poorman::ungroup(unnormalize(norm, "Sepal.Length")),
test
)
# 2 groups, 2 normalized vars
set.seed(123)
test <- iris
test$grp <- sample(c("A", "B"), nrow(test), replace = TRUE)
norm <- poorman::group_by(test, Species, grp)
norm <- normalize(norm, c("Sepal.Length", "Petal.Length"))
unnorm <- unnormalize(norm, c("Sepal.Length", "Petal.Length"))
expect_identical(
poorman::ungroup(unnorm),
test
)
expect_s3_class(unnorm, "grouped_df")
# can't recover attributes
norm <- poorman::group_by(iris, Species)
norm <- normalize(norm, "Sepal.Length")
attr(norm, "groups") <- NULL
expect_error(
unnormalize(norm, "Sepal.Length"),
regexp = "Couldn't retrieve the necessary information"
)
# normalize applied on grouped data but unnormalize applied on ungrouped data
norm <- poorman::group_by(mtcars, cyl)
norm <- normalize(norm, "mpg")
norm <- poorman::ungroup(norm)
expect_error(
unnormalize(norm, "mpg"),
regexp = "Can't unnormalize variable"
)
# normalize applied on grouped data but unnormalize applied different grouped
# data
norm <- poorman::group_by(norm, am)
expect_error(
unnormalize(norm, "mpg"),
regexp = "Couldn't retrieve the necessary"
)
})
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