# A Shiny App for Visual Exploration of Hierarchical Clustering

## Documentation for package ‘visxhclust’ version 1.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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