Turn a Node object into predictor and outcome.
node_to_df(x, drop_last_level = TRUE)Node object
TRUE unused
a named list of x and y, being respectively the predictor data-frame and the outcomes data-frame,
as expected inputs for hardhat::mold() function.
library(dplyr)
library(data.tree)
data(starwars)
starwars_tree <- starwars %>%
mutate(pathString = paste("tree", species, homeworld, `name`, sep = "/")) %>%
as.Node()
node_to_df(starwars_tree)$x %>% head()
#> birth_year eye_color
#> 1 19.0 blue
#> 2 41.9 yellow
#> 3 52.0 blue
#> 4 47.0 blue
#> 5 24.0 brown
#> 6 41.9 blue
#> films
#> 1 A New Hope, The Empire Strikes Back, Return of the Jedi, Revenge of the Sith, The Force Awakens
#> 2 A New Hope, The Empire Strikes Back, Return of the Jedi, Revenge of the Sith
#> 3 A New Hope, Attack of the Clones, Revenge of the Sith
#> 4 A New Hope, Attack of the Clones, Revenge of the Sith
#> 5 A New Hope
#> 6 The Phantom Menace, Attack of the Clones, Revenge of the Sith
#> gender hair_color homeworld mass sex skin_color species
#> 1 masculine blond Tatooine 77 male fair Human
#> 2 masculine none Tatooine 136 male white Human
#> 3 masculine brown, grey Tatooine 120 male light Human
#> 4 feminine brown Tatooine 75 female light Human
#> 5 masculine black Tatooine 84 male light Human
#> 6 masculine blond Tatooine 84 male fair Human
#> starships
#> 1 X-wing, Imperial shuttle
#> 2 TIE Advanced x1
#> 3 <NA>
#> 4 <NA>
#> 5 X-wing
#> 6 Naboo fighter, Trade Federation cruiser, Jedi Interceptor
#> vehicles
#> 1 Snowspeeder, Imperial Speeder Bike
#> 2 <NA>
#> 3 <NA>
#> 4 <NA>
#> 5 <NA>
#> 6 Zephyr-G swoop bike, XJ-6 airspeeder
node_to_df(starwars_tree)$y %>% head()
#> level_2 level_3
#> 1 Human Tatooine
#> 2 Human Tatooine
#> 3 Human Tatooine
#> 4 Human Tatooine
#> 5 Human Tatooine
#> 6 Human Tatooine