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 |