Calculate Gating Entropy Based on Positive Percentages

Computes the entropy associated with gating, categorizing the data into 'High' or 'Low' based on whether the gated percentage of a group is above or below the overall mean percentage. This function is useful for analyzing the variability or predictability of gating outcomes across different groups.

Usage

gating_entropy(positive_percentage)

Arguments

positive_percentage

A data frame with at least two columns: 'group' which categorizes the data, and 'gated_percentage' which represents the percentage of some criterion being met (e.g., cells positive for a marker).

Value

A single numeric value representing the entropy, which quantifies the unpredictability associated with the gating classifications across the groups.

See also

Other GatingTree: ExtractGatingTree(), GatingTreeToDF(), PlotDeltaEnrichment(), PlotDeltaEnrichmentPrunedTree(), PruneGatingTree(), addChildNode(), add_prune(), apply_gating_conditions(), baseline_entropy(), calculate_enrichment(), calculate_entropy(), collect_all_enrichment(), collect_all_entropy(), collect_history(), collect_leaf_enrichment(), collect_markers(), count_nodes(), createChildNode(), createGatingTreeObject(), findNodeByPath(), find_and_update_nodes(), general_node_rule(), generate_marker_names(), getNode(), prune_tree(), recursiveAddChildNode(), update_nodes_by_paths()

Examples

if (FALSE) { # \dontrun{
gating_entropy(data)
} # }