A Shiny App for Visual Exploration of Hierarchical Clustering

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Documentation for package ‘visxhclust’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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