API for visxhclust
A Shiny App for Visual Exploration of Hierarchical Clustering

Global functions
annotate_clusters Man page Source code
app_server Source code
app_ui Source code
bin_df Man page
cholMaha Source code
cluster_boxplots Man page Source code
cluster_colors Man page
cluster_heatmaps Man page Source code
compute_clusters Man page Source code
compute_corr Source code
compute_dmat Man page Source code
compute_gapstat Man page Source code
compute_metric Man page Source code
compute_pvalues Source code
correlation_heatmap Man page Source code
create_annotations Man page Source code
cut_clusters Man page Source code
dmat_heatmap Source code
dmat_projection Man page Source code
facet_boxplot Man page Source code
get_correlated_variables Source code
keep_selected_rows Source code
line_plot Man page Source code
load_data Source code
logscaled_df Man page
normal_annotated Man page
normal_df Man page
normal_missing Man page
optimal_score Man page Source code
pca_drivers_df Source code
pca_driversplot Source code
pca_scatterplot Source code
plot_annotation_dist Man page Source code
plot_cluster_heatmaps Man page Source code
relabel_clusters Source code
remove_selected_rows Source code
reorder_dendrograms Source code
reorder_within Source code
run_app Man page Source code
scale_data Source code
scale_x_reordered Source code
scale_y_reordered Source code
server_boxplots Source code
server_distancematrix Source code
server_evaluation Source code
server_gapstat Source code
server_heatmap Source code
server_overview Source code
server_params Source code
server_pca Source code
server_significance Source code
server_table Source code
ui_boxplots Source code
ui_distancematrix Source code
ui_evaluation Source code
ui_gapstat Source code
ui_heatmap Source code
ui_overview Source code
ui_params Source code
ui_pca Source code
ui_sidebar Source code
ui_significance Source code
ui_table Source code
validate_dataset Source code
visxhclust documentation built on March 31, 2023, 7:30 p.m.