mcmodule (version 1.2.0)

tidy_mcnode: Convert mcnode to Long Format for Plotting

Description

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
)

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.

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.

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"
)