Bipartite Variable Match — bipartite_variable

This function matches two sets of variables using a bipartite graph and returns a data frame of the matched pairs.

bipartite_variable_match(
  data,
  cog_col = "cog",
  voi_col = "voi",
  plot = FALSE,
  weight_type = "-log(p)",
  edge_width_multiplier = 11,
  directed = FALSE
)

Arguments

data: A data frame containing the required columns for matching.
cog_col: Character. The name of the first variable column. Default is "cog".
voi_col: Character. The name of the second variable column. Default is "voi".
plot: Logical. If TRUE, plots the resulting bipartite graph. Default is FALSE.
weight_type: Character. Defines the edge weight type for the bipartite graph. Options are "d" (distance), "-log(p)" (negative log p-value). Default is "-log(p)".
edge_width_multiplier: Numeric. Multiplier for the edge width in the plot. Default is 11.
directed: Logical. If TRUE, creates a directed graph. Default is FALSE.

Value

A data frame with matched pairs of variables and their associated data.

Examples

# Example usage:
df <- data.frame(cog = c("cog1", "cog2"), voi = c(1, 2), 
 d = c(0.1, 0.2), p = c(0.05, 0.01), multi = c(1, 2))
bipartite_variable_match(df, plot = TRUE)

#>    cog voi   d    p multi
#> 1 cog1   1 0.1 0.05     1
#> 2 cog2   2 0.2 0.01     2