Package index

All functions

n_cluster_message() cluster_method_input() n_clusters_input() cluster_variable_input() n_cluster_plot_output() cluster_size_bar_plot_output() profile_plot_output() cluster_pairs_plot_output() bivariate_cluster_plot_output() discriminant_projection_plot_output() dependent_variable_input() dependent_variable_plot_output() dependent_variable_table_output() dependent_null_hypothesis_output() optimal_clusters_plot_output() cluster_valdiation_plot_output() cluster_validation_distribution_plot_output() cluster_module()

Output for printing status messages from the Shiny module.

cluster_explainer_shiny() cluster_shiny() clav_shiny_ui() clav_shiny_server()

Run the Cluster Explainer Shiny Application

cluster_agreement_fit() plot(<cluster_agreement_fit>) hist(<cluster_agreement_fit>) print(<cluster_agreement_fit>) summary(<cluster_agreement_fit>) cluster_agreement()

Cluster Agreement Fit

cluster_overlap_fit() plot(<cluster.overlap>)

Cluster analysis fit statistic using bootstrap distributions

cluster_validation() plot(<clustervalidation>) print(<clustervalidation>) summary(<clustervalidation>) plot(<cv_summary>) fix_cluster_labels() plot_distributions()

Cluster profile validation

daacs

Diagnostic Assessment and Achievement of College Skills

describe_by()

Basic summary statistics by group

optimal_clusters() plot(<optimalclusters>) print(<optimalclustersplot>) euclidean_distance() get_centers() wss() silhouette_score() calinski_harabasz() davies_bouldin() rand_index()

Utility function used to determine the optimal number of clusters.

hclust2() predict(<hclust2>)

Hierarchical Clustering

kmeans_iterative()

Function to perform K-means step by step and save iterations

pisa2015

Student questionnaire and science performance data from the 2015 PISA

predict(<kmeans>)

Predict cluster class for k-means cluster

print_p_value()

Utility function to print p-values

profile_plot()

Profile plot for cluster analysis.

scale_this()

Convert vector to z-scores