Nothing
library(dplyr)
data(pedcan_expression)
df_expr <- select(pedcan_expression, starts_with("A"))
test_that("step_select_cv works", {
means <- apply(df_expr, 2, mean)
sds <- apply(df_expr, 2, sd)
cvs <- sds / means
rec <-
recipe(~ ., data = df_expr) %>%
step_select_cv(all_numeric_predictors(), cutoff = 1)
expect_equal(nrow(tidy(rec, 1)), 1)
prepped <- prep(rec)
cv_tidy <- tidy(prepped, 1)
expect_equal(nrow(cv_tidy), ncol(df_expr))
expect_equal(pull(cv_tidy, cv, terms), cvs)
expect_true(all(cv_tidy[cv_tidy$kept, ]$cv >= 1))
expect_true(all(cv_tidy[!cv_tidy$kept, ]$cv < 1))
baked <- bake(prepped, new_data = NULL)
expect_setequal(colnames(baked),
names(cvs[cvs > 1]))
expect_invisible(recipes_pkg_check(required_pkgs.step_select_cv()))
})
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