Reference

Primary functions Package primary functions
heat_tree() treeheatr()	Draws and aligns decision tree and heatmap.
draw_tree()	Draws the conditional decision tree.
draw_heat()	Draws the heatmap.
Utility functions Package primary functions
get_fit()	------------------------------------------------------------------------------------ Get the fitted tree depending on the input `x`.
compute_tree()	Compute decision tree from data set
prediction_df()	Apply the predicted tree on either new test data or training data.
clust_samp_func()	Performs clustering of samples.
clust_feat_func()	Performs clustering or features.
scale_norm()	Performs transformation on continuous variables.
term_node_pos()	Determines terminal node position.
position_nodes()	Creates smart node layout.
prepare_feats()	Prepares the feature dataframes for tiles.
eval_tree()	Print decision tree performance according to different metrics.
align_plots()	Align decision tree and heatmap:
get_cols()	Get color functions from character vectors
get_disp_feats()	Select the important features to be displayed.
prep_data()	------------------------------------------------------------------------------------ Prepare dataset
Datasets Attached datasets available for use via lazy-loading
penguins	Data of three different species of penguins.
diabetes	Diabetes patient records.
wine	Results of a chemical analysis of wines grown in a specific area of Italy.
wine_quality_red	Red variant of the Portuguese "Vinho Verde" wine.
galaxy	Galaxy dataset for regression.
train_covid	Training dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18. Containing NAs.
test_covid	External test dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18.