cell_type_layers        Determines the layer on which a phenotype
                        resides.
extract_markers         Extracts markers from cell population
                        phenotypes
fg_add_feature          Adds a feature.
fg_add_summary          Adds a feature summary.
fg_clean_phen           Reformats phenotype
fg_clear_features       Clears all featuresin a flowGraph object.
fg_clear_summary        Removes all summary statistics.
fg_data_fca             fg_data_fca
fg_data_pos2            fg_data_pos2
fg_data_pos30           fg_data_pos30
fg_extract_phenotypes   Extracts a set of phenotypes from a flowGraph
                        object.
fg_extract_raw          Clears all features and feature summaries in a
                        flowGraph object.
fg_extract_samples      Extracts a set of samples from a flowGraph
                        object.
fg_feat_cumsum          Converts cell counts into cumulated cell
                        counts.
fg_feat_edge_prop       Generates the proportion edge feature.
fg_feat_edge_specenr    Generates the SpecEnr edge feature.
fg_feat_mean_class      Normalizes all features for class.
fg_feat_node_prop       Generates the proportion node feature.
fg_feat_node_specenr    Generates the SpecEnr node feature.
fg_get_feature          Retrieves a feature matrix.
fg_get_feature_desc     Retrieves and/or recalculates a feature
                        description table.
fg_get_feature_means    Retrieves feature summaries.
fg_get_graph            Retrieves a graph list from a given flowGraph
                        object.
fg_get_markers          Retrieves the markers from a given flowGraph
                        object.
fg_get_meta             Retrieves sample meta.
fg_get_summary          Retrieves a summary statistic.
fg_get_summary_desc     Retrieves a feature summary description table.
fg_get_summary_index    Retrieves the index of the requested summary.
fg_get_summary_tables   Retrieves a table containing all node or edge
                        summary statistics.
fg_gsub_ids             Replace sample id's.
fg_gsub_markers         Replace marker names.
fg_load                 Load a flowGraph object from a specified folder
                        path.
fg_merge                Merges two flowGraph objects together.
fg_merge_samples        Merges the samples from two flowGraph objects.
fg_plot                 Creates a cell hierarchy plot.
fg_plot_box             Creates a boxplot of the values of one
                        node/edge
fg_plot_pVSdiff         Creates a p value vs feature difference plot
fg_plot_qq              Creates a QQ plot of a summary statistic.
fg_replace_meta         Replaces sample meta.
fg_rm_feature           Removes a feature.
fg_rm_summary           Removes a feature summary.
fg_save                 Saves flowGraph object to a specified path.
fg_save_plots           Saves numerous plots for all summary statistics
                        to a folder.
fg_set_layout           Determines cell hierarchy layout.
fg_summary              Calculates feature summary statistics.
flowGraph               flowGraph object constructor.
flowGraph-class         'flowGraph': A class for storing cell count
                        feature values for the Phenotype class.
flowGraphSubset         flowGraph object constructor.
flowGraphSubset_summary_adjust
                        Default for flowGraphSubset's summary_adjust
flowGraphSubset_summary_pars
                        Default for flowGraphSubset's summary_pars
fpurrr_map              Wrapper for map
get_child               Gets child populations of given cell
                        populations
get_eprop               Gets edge proportions of a given edge matrix
get_paren               Gets parent populations of given cell
                        populations
get_phen_list           Creates edge lists.
get_phen_meta           Genrates phenotype meta data.
ggdf                    Prepares a given node and edge graph list for
                        plotting.
loop_ind_f              Prepares parallel loop indices.
mean_diff               Normalizes matrix values by class.
ms_create               Calcuate SpecEnr from proportion and expected
                        proportion
ms_psig                 Determines which phenotypes are statistically
                        significant
plot_gr                 Plots a cell hierarchy.
set_layout_graph        Determines cell hierarchy layout.
summary_table           Summarizes a numeric matrix.
test_c                  Converts input into a significance test
                        function
time_output             Outputs elapsed time.
tstr                    Formats time into string.
