library(testthat)
library(recipes)
library(tibble)
n <- 20
ex_dat <- data.frame(
x1 = -1:8,
x2 = 1,
x3 = c(1:9, NA),
x4 = 11:20,
x5 = letters[1:10]
)
rec <- recipe(~ x1 + x2 + x3 + x4 + x5, data = ex_dat)
test_that("1:many", {
rec1 <- rec %>%
step_ratio(x1, denom = denom_vars(all_numeric()), id = "")
exp_un_1 <- tibble(
terms = "x1", denom = "all_numeric()", id = ""
)
expect_equal(tidy(rec1, number = 1), exp_un_1)
rec1 <- prep(rec1, ex_dat, verbose = FALSE)
obs1 <- bake(rec1, ex_dat)
res1 <- tibble(
x1_o_x2 = ex_dat$x1 / ex_dat$x2,
x1_o_x3 = ex_dat$x1 / ex_dat$x3,
x1_o_x4 = ex_dat$x1 / ex_dat$x4
)
for (i in names(res1)) {
expect_equal(res1[i], obs1[i])
}
exp_tr_1 <- tibble(
terms = rep("x1", 3),
denom = c("x2", "x3", "x4"),
id = ""
)
expect_equal(tidy(rec1, number = 1), exp_tr_1)
})
test_that("many:1", {
rec2 <- rec %>%
step_ratio(all_numeric(), denom = denom_vars(x1), id = "")
exp_un_2 <- tibble(
terms = "all_numeric()", denom = "x1", id = ""
)
expect_equal(tidy(rec2, number = 1), exp_un_2)
rec2 <- prep(rec2, ex_dat, verbose = FALSE)
obs2 <- bake(rec2, ex_dat)
res2 <- tibble(
x2_o_x1 = ex_dat$x2 / ex_dat$x1,
x3_o_x1 = ex_dat$x3 / ex_dat$x1,
x4_o_x1 = ex_dat$x4 / ex_dat$x1
)
for (i in names(res2)) {
expect_equal(res2[i], obs2[i])
}
exp_tr_2 <- tibble(
terms = c("x2", "x3", "x4"),
denom = rep("x1", 3),
id = ""
)
expect_equal(tidy(rec2, number = 1), exp_tr_2)
})
test_that("many:many", {
rec3 <- rec %>%
step_ratio(all_numeric(), denom = denom_vars(all_numeric()), id = "")
exp_un_3 <- tibble(
terms = "all_numeric()", denom = "all_numeric()", id = ""
)
expect_equal(tidy(rec3, number = 1), exp_un_3)
rec3 <- prep(rec3, ex_dat, verbose = FALSE)
obs3 <- bake(rec3, ex_dat)
res3 <- tibble(
x2_o_x1 = ex_dat$x2 / ex_dat$x1,
x3_o_x1 = ex_dat$x3 / ex_dat$x1,
x4_o_x1 = ex_dat$x4 / ex_dat$x1,
x1_o_x2 = ex_dat$x1 / ex_dat$x2,
x3_o_x2 = ex_dat$x3 / ex_dat$x2,
x4_o_x2 = ex_dat$x4 / ex_dat$x2,
x1_o_x3 = ex_dat$x1 / ex_dat$x3,
x2_o_x3 = ex_dat$x2 / ex_dat$x3,
x4_o_x3 = ex_dat$x4 / ex_dat$x3,
x1_o_x4 = ex_dat$x1 / ex_dat$x4,
x2_o_x4 = ex_dat$x2 / ex_dat$x4,
x3_o_x4 = ex_dat$x3 / ex_dat$x4
)
for (i in names(res3)) {
expect_equal(res3[i], obs3[i])
}
exp_tr_3 <- tidyr::crossing(
terms = paste0("x", 1:4),
denom = paste0("x", 1:4)
)
exp_tr_3 <- exp_tr_3[exp_tr_3$terms != exp_tr_3$denom, ]
exp_tr_3$id <- ""
expect_equal(tidy(rec3, number = 1), exp_tr_3)
})
test_that("wrong type", {
rec4 <- rec %>%
step_ratio(x1, denom = denom_vars(all_predictors()))
expect_snapshot(error = TRUE,
prep(rec4, ex_dat, verbose = FALSE)
)
rec5 <- rec %>%
step_ratio(all_predictors(), denom = denom_vars(x1))
expect_snapshot(error = TRUE,
prep(rec5, ex_dat, verbose = FALSE)
)
rec6 <- rec %>%
step_ratio(all_predictors(), denom = denom_vars(all_predictors()))
expect_snapshot(error = TRUE,
prep(rec6, ex_dat, verbose = FALSE)
)
})
test_that("printing", {
rec3 <- rec %>%
step_ratio(all_numeric(), denom = denom_vars(all_numeric()))
expect_snapshot(print(rec3))
expect_snapshot(prep(rec3))
})
test_that("keep_original_cols works", {
rec1 <- rec %>%
step_ratio(x1,
denom = denom_vars(all_numeric()),
id = "", keep_original_cols = FALSE
)
rec1 <- prep(rec1, ex_dat, verbose = FALSE)
obs1 <- bake(rec1, ex_dat)
res1 <- tibble(
x5 = factor(letters[1:10]),
x1_o_x2 = ex_dat$x1 / ex_dat$x2,
x1_o_x3 = ex_dat$x1 / ex_dat$x3,
x1_o_x4 = ex_dat$x1 / ex_dat$x4
)
expect_equal(res1, obs1)
})
test_that("can prep recipes with no keep_original_cols", {
rec1 <- rec %>%
step_ratio(x1, denom = denom_vars(all_numeric()), id = "")
rec1$steps[[1]]$keep_original_cols <- NULL
expect_snapshot(
prep1 <- prep(rec1, training = ex_dat, verbose = FALSE)
)
expect_error(
obs1 <- bake(prep1, new_data = ex_dat, all_predictors()),
NA
)
})
test_that("empty selection prep/bake is a no-op", {
rec1 <- recipe(mpg ~ ., mtcars)
rec2 <- step_ratio(rec1, denom = vars(mpg))
rec1 <- prep(rec1, mtcars)
rec2 <- prep(rec2, mtcars)
baked1 <- bake(rec1, mtcars)
baked2 <- bake(rec2, mtcars)
expect_identical(baked1, baked2)
})
test_that("empty selection tidy method works", {
rec <- recipe(mpg ~ ., mtcars)
rec <- step_ratio(rec, denom = vars(mpg))
expect <- tibble(terms = character(), denom = character(), id = character())
expect_identical(tidy(rec, number = 1), expect)
rec <- prep(rec, mtcars)
expect_identical(tidy(rec, number = 1), expect)
})
test_that("empty printing", {
skip_if(packageVersion("rlang") < "1.0.0")
rec <- recipe(mpg ~ ., mtcars)
rec <- step_ratio(rec, denom = vars(mpg))
expect_snapshot(rec)
rec <- prep(rec, mtcars)
expect_snapshot(rec)
})
test_that("bake method errors when needed non-standard role columns are missing", {
rec1 <- rec %>%
step_ratio(x1, denom = denom_vars(all_numeric())) %>%
update_role(x1, new_role = "potato") %>%
update_role_requirements(role = "potato", bake = FALSE)
rec1 <- prep(rec1, ex_dat, verbose = FALSE)
expect_error(bake(rec1, ex_dat[, 2:5]),
class = "new_data_missing_column")
})
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