Man pages for treeheatr
Heatmap-Integrated Decision Tree Visualizations
| align_plots | Align decision tree and heatmap: |
| 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... |
| galaxy | Galaxy dataset for regression. |
| get_cols | Get color functions from character vectors |
| get_disp_feats | Select the important features to be displayed. |
| get_fit-methods | ——————- Get the fitted tree depending on the... |
| 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... |
| prepare_feats | Prepares the feature dataframes for tiles. |
| prep_data | ——————- Prepare dataset |
| print.ggHeatTree | Print a ggHeatTree object. Adopted from... |
| scale_norm | Performs transformation on continuous variables. |
| term_node_pos | Determines terminal node position. |
| test_covid | External test dataset. Medical information of Wuhan patients... |
| train_covid | Training dataset. Medical information of Wuhan patients... |
| wine | Results of a chemical analysis of wines grown in a specific... |
| wine_quality_red | Red variant of the Portuguese "Vinho Verde" wine. |
