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
