Convert mcnode to Long Format for Plotting — tidy

Converts an mcnode to long format suitable for ggplot2 and tidyverse analysis. Each row represents one uncertainty iteration for one variate.

Usage

tidy_mcnode(
  mcmodule = NULL,
  mc_name = NULL,
  mcnode = NULL,
  data = NULL,
  keys_names = NULL,
  filter = NULL
)

Arguments

mcmodule: (mcmodule object, optional). Module containing the node.
mc_name: (character, optional). Name of the mcnode in the module.
mcnode: (mcnode object, optional). mcnode to convert directly.
data: (data frame, optional). Input data; extracted from mcmodule if NULL. Default: NULL.
keys_names: (character vector, optional). Column names for grouping variates. If NULL, uses node keys from module or all available keys. Default: NULL.
filter: (expression, optional). Unquoted expression to filter variates (e.g., pathogen == "a" or origin == "nord"). Evaluated in context of keys data frame. Default: NULL.

Value

A long data frame with columns:

All key columns from keys_names.
variate: Variate index (data row number).
simulation: Uncertainty iteration index.
value: mcnode value for that combination.

Details

Call signatures:

tidy_mcnode(mcmodule, \"node_name\")
tidy_mcnode(mcnode = mcnode, data = data)
tidy_mcnode(mcmodule, mcnode = mcnode)

Examples

# Using mcmodule and node name
long_data <- tidy_mcnode(imports_mcmodule, "w_prev")

# Using with specific keys
long_data <- tidy_mcnode(imports_mcmodule, "w_prev",
  keys_names = "origin"
)

# Using mcnode and data directly
w_prev <- imports_mcmodule$node_list$w_prev$mcnode
long_data <- tidy_mcnode(mcnode = w_prev, data = imports_data)

# Filter variates
long_data <- tidy_mcnode(imports_mcmodule, "w_prev",
  filter = pathogen == "a"
)