This function creates a network visualization from ABC results.
Usage
plot_network(
results,
output_file = "network.png",
width = 1200,
height = 900,
resolution = 120,
top_n = 15,
min_score = 1e-04,
node_size_factor = 5,
color_by = "type",
title = "Network Visualization",
show_entity_types = TRUE,
label_size = 1,
verbose = TRUE
)Arguments
- results
The results to visualize
- output_file
Filename for the output PNG (default: "network.png")
- width
Width of the output image (default: 1200)
- height
Height of the output image (default: 900)
- resolution
Resolution of the output image (default: 120)
- top_n
Maximum number of results to include (default: 15)
- min_score
Minimum score threshold (default: 0.0001)
- node_size_factor
Factor for scaling node sizes (default: 5)
- color_by
Column to use for node colors (default: "type")
- title
Plot title (default: "Network Visualization")
- show_entity_types
Logical; if TRUE, show entity types (default: TRUE)
- label_size
Relative size for labels (default: 1.0)
- verbose
Logical; if TRUE, print status messages (default: TRUE)
Examples
# Create example results for visualization
results <- data.frame(
a_term = rep("migraine", 4),
b_term = c("serotonin", "CGRP", "cortisol", "dopamine"),
c_term = c("sumatriptan", "fremanezumab", "propranolol", "amitriptyline"),
abc_score = c(0.8, 0.7, 0.6, 0.5),
b_type = c("chemical", "protein", "hormone", "chemical"),
c_type = rep("drug", 4)
)
# \donttest{
# These require graphics capabilities
plot_heatmap(results, output_file = tempfile(fileext = ".png"))
#> Warning: Entity types not found in results. Setting show_entity_types = FALSE
#> Created heatmap visualization: /tmp/Rtmpy7GTZs/file1e6e4d75bb76.png
plot_network(results, output_file = tempfile(fileext = ".png"))
#> Warning: Entity types not found in results. Setting show_entity_types = FALSE
#> Created network visualization: /tmp/Rtmpy7GTZs/file1e6e7044508.png
# }