Heatmap-Integrated Decision Tree Visualizations

[Up] [Top]

Documentation for package ‘treeheatr’ version 0.2.1

Help Pages

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 metrics.
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 ---- Get the fitted tree depending on the input 'x'.
get_fit.data.frame ---- Get the fitted tree depending on the input 'x'.
get_fit.default ---- Get the fitted tree depending on the input 'x'.
get_fit.party ---- Get the fitted tree depending on the input 'x'.
get_fit.partynode ---- Get the fitted tree depending on the input 'x'.
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.
treeheatr Draws and aligns decision tree and heatmap.
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.