Man pages for rhenkin/visxhclust
A Shiny App for Visual Exploration of Hierarchical Clustering
| 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 |
| plot_cluster_heatmaps | Draw two heatmaps |
| run_app | Runs the Shiny app |
