step_hill() is a recipes step that
replaces wide species columns (one column per species, abundance or
incidence values) with Hill numbers of chosen orders, so community
diversity can be used as a predictor in tidymodels workflows.
Usage
step_hill(
recipe,
...,
q = c(0, 1, 2),
prefix = "hill_q",
keep_original_cols = FALSE,
role = "predictor",
trained = FALSE,
columns = NULL,
skip = FALSE,
id = NULL
)Examples
wide <- data.frame(elev = c(200, 700, 1200),
sp1 = c(5, 0, 2), sp2 = c(1, 3, 0), sp3 = c(2, 2, 2))
recipes::recipe(elev ~ ., data = wide) |>
step_hill(dplyr::starts_with("sp"), q = c(0, 2)) |>
recipes::prep() |>
recipes::bake(new_data = NULL)
#> # A tibble: 3 x 3
#> elev hill_q0 hill_q2
#> <dbl> <dbl> <dbl>
#> 1 200 3 2.13
#> 2 700 2 1.92
#> 3 1200 2 2