Function reference • treeheatr

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.
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.

Reference