Package index • clav

All functions

bivariate_cluster_plot_output(): Plot output for the bivariate cluster figure.

cluster_shiny() clav_shiny_ui() clav_shiny_server(): Run the Shiny application.

cluster_module(): Shiny module for cluster analysis.

cluster_pairs_plot_output(): Plot output for the pairs plot.

cluster_size_bar_plot_output(): Plot output for the bar plot of cluster sizes.

cluster_validation() plot(<clustervalidation>) print(<clustervalidation>) summary(<clustervalidation>) plot(<cv_summary>) fix_cluster_labels() plot_distributions(): Cluster profile validation

cluster_variable_input(): Input to select the variables to perform the cluster analysis with.

daacs: Diagnostic Assessment and Achievement of College Skills

dependent_null_hypothesis_output(): Output from the dependent varaible analysis.

dependent_variable_input(): Shiny input to select the dependent (outcome) variable.

dependent_variable_plot_output(): Shiny output for the dependnet sample plot.

dependent_variable_table_output(): Output of the dependent variable analysis.

describe_by(): Basic summary statistics by group

discriminant_projection_plot_output(): Plot output for the discriminant project figure.

optimal_clusters() plot(<optimalclusters>) wss() silhouette_score() calinski_harabasz() davies_bouldin() rand_index(): Utility function used to determine the optimal number of clusters.

n_cluster_message(): Output for printing status messages from the Shiny module.

n_cluster_plot_output(): Plot output for the figure to determine the optimal number of clusters.

n_clusters_input(): Slider input for the desired number of clusters.

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.

profile_plot_output(): Plot output for the profiles.

scale_this(): Convert vector to z-scores