tree_to_text | R Documentation |
Get latex code in the format of the package "forest" for the plot of the decision tree
tree_to_text(
node_id,
tree_info_df,
train_data_df,
test_data_df,
rf_list,
tree_number,
dependent_var,
show_sample_size,
show_prediction_nodes,
show_uncertainty,
show_coverage,
show_intervalwidth,
vert_sep,
hor_sep,
colors
)
node_id |
Node ID of the node whose parent ID is to be determined |
tree_info_df |
Data frame containing information about the structure of the decision tree, which is built like a "treeInfo()" data frame from the package "ranger" |
train_data_df |
Data frame of the training data with which the random forest was trained |
test_data_df |
Data frame of the test data (only needed, if show_coverage = TRUE) |
rf_list |
Random forest, which is built like the one you get from ranger() |
tree_number |
Number of the decision tree of the rf_list to be displayed |
dependent_var |
Name of the column of the dependent variable in training data |
show_sample_size |
Option to display percentage of observations that reach nodes during training (TRUE or FALSE) |
show_prediction_nodes |
Option to display prediction in all nodes (TRUE or FALSE) |
show_uncertainty |
Option to display uncertainty quantification in terminal nodes (for now only available for regression) |
show_coverage |
Option to display marginal coverage (only in combination with show_uncertainty = TRUE) |
show_intervalwidth |
Option to display interval width uncertainty quantification in terminal nodes (only in combination with show_uncertainty = TRUE) |
vert_sep |
Vertical spacing of nodes in mm (parameter from Latex package "forest") |
hor_sep |
Horizontal spacing of nodes in mm (parameter from Latex package "forest") |
Character pasted Latex code for the plot with the Latex package "forest"
Lea Louisa Kronziel, M.Sc.
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