step_taxonomy | R Documentation |
Extract clades from a lineage, as defined in the {yatah}
package.
step_taxonomy(
recipe,
...,
role = "predictor",
trained = FALSE,
rank = NULL,
res = NULL,
keep_original_cols = FALSE,
skip = FALSE,
id = rand_id("taxonomy")
)
## S3 method for class 'step_taxonomy'
tidy(x, ...)
recipe |
A recipe object. The step will be added to the sequence of operations for this recipe. |
... |
One or more selector functions to choose variables
for this step. See |
role |
For model terms created by this step, what analysis role should
they be assigned? By default, the new columns created by this step from
the original variables will be used as |
trained |
A logical to indicate if the quantities for preprocessing have been estimated. |
rank |
The desired ranks, a combinaison of |
res |
This parameter is only produced after the recipe has been trained. |
keep_original_cols |
A logical to keep the original variables in
the output. Defaults to |
skip |
A logical. Should the step be skipped when the
recipe is baked by |
id |
A character string that is unique to this step to identify it. |
x |
A |
An updated version of recipe with the new step added to the sequence of any existing operations.
Antoine Bichat
data("cheese_taxonomy")
rec <-
cheese_taxonomy %>%
select(asv, lineage) %>%
recipe(~ .) %>%
step_taxonomy(lineage, rank = c("order", "genus")) %>%
prep()
rec
tidy(rec, 1)
bake(rec, new_data = NULL)
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