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Matches an mcnode with a data frame by:

  1. Group matching - Same scenarios but different group order

  2. Scenario matching - Same groups but different scenarios

  3. Null matching - Add missing groups across different scenarios

Usage

mc_match_data(mcmodule, mc_name, data, keys_names = NULL)

Arguments

mcmodule

Monte Carlo module

mc_name

Node name

data

Data frame containing keys to match with

keys_names

Names of key columns

Value

List containing matched node, matched data and combined keys (keys_xy

Examples

test_data  <- data.frame(pathogen=c("a","b"),
                         inf_dc_min=c(0.05,0.3),
                         inf_dc_max=c(0.08,0.4))
result<-mc_match_data(imports_mcmodule,"no_detect_a", test_data)
#> Group by: pathogen
#> no_detect_a prev dim: [1001, 1, 6], new dim: [1001, 1, 6], 0 null matches
#> test_data prev dim: [2, 3], new dim: [6, 4], 0 null matches