Calculate Node-Level Aggregate Statistics (Conditional on Significance)

Calculates mean log2FC, p-value, and q-value for each node (Label), prioritizing significant metabolites (qval <= q_value). If none are significant, uses all measured metabolites for the node. Adds results to both dataframes.

Usage

calculate_node_aggregates_conditional(
  nodes_sep_df,
  nodes_orig_df,
  q_value,
  stat_col_name,
  ...
)

Arguments

nodes_sep_df

Dataframe with metabolites separated (e.g., 'nodes_final'). Must contain Label, log2FC, qval.

nodes_orig_df

Original dataframe with potentially semi-colon separated metabolites. Must contain Label.

q_value

Significance threshold for q-values (e.g., 0.05).

stat_col_name

p value column name

...

Column names of numeric values to be processed (e.g., log2FC, pval, qval).

Value

A list containing two dataframes: $nodes_separated: Input nodes_sep_df with 2 new columns: node_values, node_stat $nodes: Input nodes_orig_df with 2 new columns: node_values, node_stat