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| 1 | +test_that("bake method works in all cases", { |
| 2 | + edf <- case_death_rate_subset %>% |
| 3 | + filter(time_value > "2021-11-01", geo_value %in% c("ak", "ca", "ny")) |
| 4 | + r <- epi_recipe(jhu) %>% |
| 5 | + step_epi_lag(death_rate, lag = c(0, 7, 14)) %>% |
| 6 | + step_epi_ahead(death_rate, ahead = 7) |
| 7 | + |
| 8 | + r2 <- epi_recipe(jhu) %>% |
| 9 | + step_epi_lag(death_rate, lag = c(0, 7, 14)) %>% |
| 10 | + step_epi_ahead(death_rate, ahead = 7) %>% |
| 11 | + step_epi_naomit() |
| 12 | + |
| 13 | + b_null <- bake(prep(r, edf), NULL) |
| 14 | + b_train <- bake(prep(r, edf), edf) |
| 15 | + expect_s3_class(b_null, "epi_df") |
| 16 | + expect_identical(b_null, b_train) |
| 17 | + |
| 18 | + b_baked <- bake(prep(r2, edf), edf) # leaves rows with NA in the response |
| 19 | + # doesn't (because we "juice", so skip doesn't apply) |
| 20 | + b_juiced <- bake(prep(r2, edf), NULL) |
| 21 | + expect_equal(nrow(b_juiced), sum(complete.cases(b_train))) |
| 22 | + expect_equal(nrow(b_baked), sum(complete.cases(b_train)) + 3 * 7) |
| 23 | + |
| 24 | + # check that the {recipes} behaves |
| 25 | + expect_s3_class(bake(prep(r, edf), NULL, composition = "tibble"), "tbl_df") |
| 26 | + expect_s3_class(bake(prep(r, edf), NULL, composition = "data.frame"), "data.frame") |
| 27 | + # can't be a matrix because time_value/geo_value aren't numeric |
| 28 | + expect_error(bake(prep(r, edf), NULL, composition = "matrix")) |
| 29 | +}) |
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