library(testthat)
library(recipes)
x_year <- seq(0, 86400 * 365 * 4, by = 31556926)
x_month_sidereal <- seq(0, 86400 * 7, by = 2360592)
x_month_synodic <- seq(0, 86400 * 7, by = 2551443)
x_month_average <- seq(0, 86400 * 365, by = 2629744)
x_week <- seq(0, 86400 * 365, by = 86400 * 7)
x_day <- seq(0, 86400 * 365, by = 86400)
x_hour <- seq(0, 86400 * 7, by = 3600)
x_minute <- seq(0, 86400, by = 60)
x_second <- 0:86400
test_that("harmonic error", {
harmonic_dat <- tibble(
osc = sin(2 * pi * x_second / (3600 * 6)),
time_var = x_second
)
# missing input
expect_snapshot(error = TRUE,
recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 1,
cycle_size = NA
)
)
expect_snapshot(error = TRUE,
recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 1,
starting_val = 0,
cycle_size = NA
)
)
expect_snapshot(error = TRUE,
recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 1,
starting_val = 0,
cycle_size = "a"
)
)
# starting_val is numeric, Date or POSIXt
expect_snapshot(error = TRUE,
recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 1,
starting_val = "a",
cycle_size = 86400
)
)
expect_snapshot(error = TRUE,
recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(
time_var,
frequency = 1,
starting_val = factor("a"),
cycle_size = 86400
)
)
})
test_that("harmonic multiple variables", {
harmonic_dat_mult <- tibble(
osc = sin(2 * pi * x_second / (3600 * 6)),
time_var_1 = x_second,
time_var_2 = x_second * 2
)
rec <- recipe(osc ~ time_var_1 + time_var_2, data = harmonic_dat_mult) %>%
step_harmonic(time_var_1, time_var_2,
frequency = c(5, 10),
cycle_size = 1
) %>%
prep() %>%
bake(new_data = NULL)
expect_equal(rec$time_var_1_sin_1, rec$time_var_2_sin_2)
expect_equal(rec$time_var_1_cos_1, rec$time_var_2_cos_2)
})
test_that("harmonic frequencies", {
harmonic_dat <- tibble(
osc = sin(2 * pi * x_second / (3600 * 6)),
time_var = x_second
)
rec <- recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = c(1, 1.93, 2),
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
expect_equal(ncol(rec), 7)
})
test_that("harmonic keep_original_cols", {
harmonic_dat <- tibble(
osc = sin(2 * pi * x_second / (3600 * 6)),
time_var = x_second
)
rec <- recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = c(1, 1.93, 2),
cycle_size = 86400,
keep_original_cols = TRUE
) %>%
prep() %>%
bake(new_data = NULL)
expect_equal(ncol(rec), 8)
})
test_that("harmonic phase", {
harmonic_dat_1 <- tibble(
osc = sin(2 * pi * x_second / 86400),
time_var = x_second
)
rec_1 <- recipe(osc ~ time_var, data = harmonic_dat_1) %>%
step_harmonic(time_var,
frequency = 1,
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
# different starting point
harmonic_dat_2 <- tibble(
osc = sin(2 * pi * (x_second + 43200) / 86400),
time_var = x_second
)
rec_2 <- recipe(osc ~ time_var, data = harmonic_dat_2) %>%
step_harmonic(time_var,
frequency = 1,
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
fit_1 <- lm(osc ~ time_var_sin_1 + time_var_cos_1 - 1, rec_1)
fit_2 <- lm(osc ~ time_var_sin_1 + time_var_cos_1 - 1, rec_2)
co_1 <- coefficients(fit_1)
co_2 <- coefficients(fit_2)
expect_equal(as.numeric(atan2(co_1[1], co_1[2]) - atan2(co_2[1], co_2[2])), pi,
ignore_attr = TRUE
)
# set reference (starting_val) at half period
rec_3 <- recipe(osc ~ time_var, data = harmonic_dat_2) %>%
step_harmonic(time_var,
frequency = 1,
starting_val = 43200,
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
fit_3 <- lm(osc ~ time_var_sin_1 + time_var_cos_1 - 1, rec_3)
co_3 <- coefficients(fit_3)
expect_equal(atan2(co_1[1], co_1[2]), atan2(co_3[1], co_3[2]))
})
test_that("harmonic model recovers amplitude", {
set.seed(123)
amplitude <- abs(rnorm(1))
harmonic_dat <- tibble(
osc = amplitude * sin(2 * pi * x_second / (3600 * 6)),
time_var = x_second
)
rec <- recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 4,
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
fit <- lm(osc ~ time_var_sin_1 + time_var_cos_1 - 1, rec)
expect_equal(sqrt(sum(coefficients(fit)^2)), amplitude)
})
test_that("harmonic datetime, numeric and date columns", {
x_datetime <- as.POSIXct(x_second,
origin = "1970-01-01",
tz = "UTC"
)
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_second) / (3600 * 6)),
time_var_posixt = x_datetime,
time_var_int = x_second
)
rec_datetime <- recipe(osc ~ time_var_posixt, data = harmonic_dat) %>%
step_harmonic(time_var_posixt,
frequency = 4,
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
rec_numeric <- recipe(osc ~ time_var_int, data = harmonic_dat) %>%
step_harmonic(time_var_int,
frequency = 4,
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
expect_equal(rec_datetime[[3]],
rec_numeric[[3]],
ignore_attr = TRUE
)
x_date <- as.Date(x_second[1:366], origin = "1970-01-01") # one year
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_date)),
time_var_date = x_date
)
rec_date <- recipe(osc ~ time_var_date, data = harmonic_dat) %>%
step_harmonic(time_var_date,
frequency = 12,
cycle_size = 366
) %>%
prep() %>%
bake(new_data = NULL)
x_date_sec <- seq(0, 365, 1) * 86400 # one year
harmonic_dat <- tibble(
osc = sin(2 * pi * x_date_sec),
time_var_date_s = x_date_sec
)
rec_date_s <- recipe(osc ~ time_var_date_s, data = harmonic_dat) %>%
step_harmonic(time_var_date_s,
frequency = 12,
cycle_size = 86400 * 366
) %>%
prep() %>%
bake(new_data = NULL)
expect_equal(rec_date[[3]],
rec_date_s[[3]],
ignore_attr = TRUE
)
})
test_that("harmonic NA in term", {
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_second) / (3600 * 6)),
time_var = x_second
)
harmonic_dat[20, "time_var"] <- NA
harmonic_dat[3, "time_var"] <- NA
rec_na <- recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 4,
cycle_size = 86400,
keep_original_cols = TRUE
) %>%
prep() %>%
bake(new_data = NULL)
expect_equal(sum(is.na(rec_na)), 2 * 3)
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_second) / (3600 * 6)),
time_var = NA_real_
)
expect_snapshot(error = TRUE,
recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 4,
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
)
})
test_that("harmonic character in term", {
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_second) / (3600 * 6)),
time_var = "x_second"
)
expect_snapshot(error = TRUE,
recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 4,
cycle_size = 86400
) %>%
prep() %>%
bake(new_data = NULL)
)
})
test_that("harmonic cycle_size length", {
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_second) / (3600 * 6)),
time_var_1 = x_second,
time_var_2 = x_second,
time_var_3 = x_second
)
expect_snapshot(error = TRUE,
recipe(osc ~ time_var_1 + time_var_2 + time_var_3, data = harmonic_dat) %>%
step_harmonic(time_var_1, time_var_2, time_var_3,
frequency = 4,
cycle_size = c(86400, 86400)
) %>%
prep()
)
})
test_that("harmonic starting_val length", {
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_second) / (3600 * 6)),
time_var_1 = x_second,
time_var_2 = x_second,
time_var_3 = x_second
)
expect_snapshot(error = TRUE,
recipe(osc ~ time_var_1 + time_var_2 + time_var_3, data = harmonic_dat) %>%
step_harmonic(time_var_1, time_var_2, time_var_3,
frequency = 4,
starting_val = c(86400, 86400),
cycle_size = 86400
) %>%
prep()
)
})
test_that("harmonic check tidy starting value", {
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_second) / (3600 * 6)),
time_var = x_second
)
tidy_starting <- recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 4,
cycle_size = 86400
) %>%
prep() %>%
tidy(number = 1)
expect_equal(tidy_starting$starting_val[[1]], 0,
ignore_attr = TRUE
)
tidy_starting <- recipe(osc ~ time_var, data = harmonic_dat) %>%
step_harmonic(time_var,
frequency = 4,
starting_val = 10,
cycle_size = 86400
) %>%
prep() %>%
tidy(number = 1)
expect_equal(tidy_starting$starting_val[[1]], 10,
ignore_attr = TRUE
)
x_datetime <- as.POSIXct(x_second,
origin = "1990-01-01 01:02:23",
tz = "UTC"
)
harmonic_dat <- tibble(
osc = sin(2 * pi * as.numeric(x_datetime) / (3600 * 6)),
time_var_posixt = x_datetime
)
tidy_starting <- recipe(osc ~ time_var_posixt, data = harmonic_dat) %>%
step_harmonic(time_var_posixt,
frequency = 4,
starting_val = as.POSIXct(100, origin = "1970-01-01"),
cycle_size = 86400
) %>%
prep() %>%
tidy(number = 1)
expect_equal(tidy_starting$starting_val[[1]],
100,
ignore_attr = TRUE
)
})
test_that("empty selection prep/bake is a no-op", {
rec1 <- recipe(mpg ~ ., mtcars)
rec2 <- step_harmonic(rec1, frequency = 1 / 11, cycle_size = 1)
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_harmonic(rec, frequency = 1 / 11, cycle_size = 1)
expect <- tibble(
terms = character(),
starting_val = double(),
cycle_size = double(),
frequency = double(),
key = character(),
id = character()
)
expect_identical(tidy(rec, number = 1), expect)
rec <- prep(rec, mtcars)
expect_identical(tidy(rec, number = 1), expect)
})
test_that("printing", {
skip_if(packageVersion("rlang") < "1.0.0")
rec <- recipe(mpg ~ ., mtcars)
with_harmonic <- rec %>% step_harmonic(hp, frequency = 1 / 11, cycle_size = 1)
expect_snapshot(print(with_harmonic))
expect_snapshot(prep(with_harmonic))
})
test_that("empty printing", {
skip_if(packageVersion("rlang") < "1.0.0")
rec <- recipe(mpg ~ ., mtcars)
rec <- step_harmonic(rec, frequency = 1 / 11, cycle_size = 1)
expect_snapshot(rec)
rec <- prep(rec, mtcars)
expect_snapshot(rec)
})
test_that("bake method errors when needed non-standard role columns are missing", {
harmonic_dat_mult <- tibble(
osc = sin(2 * pi * x_second / (3600 * 6)),
time_var_1 = x_second,
time_var_2 = x_second * 2
)
rec <- recipe(osc ~ time_var_1 + time_var_2, data = harmonic_dat_mult) %>%
step_harmonic(time_var_1, time_var_2,
frequency = c(5, 10),
cycle_size = 1
) %>%
update_role(time_var_1, time_var_2, new_role = "potato") %>%
update_role_requirements(role = "potato", bake = FALSE) %>%
prep()
expect_error(bake(rec, new_data = harmonic_dat_mult[, 1:2]),
class = "new_data_missing_column")
})
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