Function reference • visxhclust

All functions
`annotate_clusters()`	Annotate data frame with clusters
`bin_df`	Simulated binary data
`cluster_boxplots()`	Plot boxplots with clusters
`cluster_colors`	List of colors used in the Shiny app for clusters
`cluster_heatmaps()`	Plot heatmap with cluster results and dendrogram
`compute_clusters()`	Compute clusters hierarchically from distance matrix
`compute_dmat()`	Compute a distance matrix from scaled data
`compute_gapstat()`	Compute Gap statistic for clustered data
`compute_metric()`	Compute an internal evaluation metric for clustered data
`correlation_heatmap()`	Plot a correlation heatmap
`create_annotations()`	Create heatmap annotations from selected variables
`cut_clusters()`	Cut a hierarchical tree targeting k clusters
`dmat_projection()`	Plot a 2D MDS projection of a distance matrix
`facet_boxplot()`	Faceted boxplots with points or violin plots
`line_plot()`	A custom line plot with optional vertical line
`logscaled_df`	Simulated logscaled data
`normal_annotated`	Simulated normal data with annotations
`normal_df`	Simulated normal data
`normal_missing`	Simulated normal data with missing values
`optimal_score()`	Find minimum or maximum score in a vector
`plot_annotation_dist()`	Plot distribution of annotation data across clusters
`run_app()`	Runs the Shiny app

Reference