# Heatmap-Integrated Decision Tree Visualizations

## Documentation for package ‘treeheatr’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

clust_feat_func | Performs clustering or features.
clust_samp_func | Performs clustering of samples.
compute_tree | Compute decision tree from data set
diabetes | Diabetes patient records.
draw_heat | Draws the heatmap.
draw_tree | Draws the conditional decision tree.
eval_tree | Print decision tree performance according to different metrics.
galaxy | Galaxy dataset for regression.
get_cols | Get color functions from character vectors
get_disp_feats | Select the important features to be displayed.
heat_tree | Draws and aligns decision tree and heatmap.
penguins | Data of three different species of penguins.
position_nodes | Creates smart node layout.
prediction_df | Apply the predicted tree on either new test data or training data.
prepare_feats | Prepares the feature dataframes for tiles.
prep_data | Prepare dataset
scale_norm | Performs transformation on continuous variables.
term_node_pos | Determines terminal node position.
test_covid | External test dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18.
train_covid | Training dataset. Medical information of Wuhan patients collected between 2020-01-10 and 2020-02-18. Containing NAs.
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.