Run economic analysis
run_economic_analysis.RdCalculate annual cost and total investment fees for simulated management risk scenario
Usage
run_economic_analysis(
scenario,
price_per_m3,
membership_fee,
grant,
initialSituation,
allocation_key = NULL
)Arguments
- scenario
data.frame scenario obtained with create_scenario function
- price_per_m3
numeric, water price in euro per cubic meter
- membership_fee
numeric annual membership fee in euro per hectare
- grant
numeric amount of the grant in percentage
- initialSituation
boolean, TRUE to simulate initial situation cost, FALSE to simulate supplementary process cost
- allocation_key
numeric allocation key, NULL by default
Examples
scenario <- create_scenario(
system.file("input_1culture_2pop.xlsx", package = "ambre")
)
run_economic_analysis(scenario = scenario,
price_per_m3 = 0.1,
membership_fee = 200,
grant = 0.5,
initialSituation = TRUE)
#> $annual
#>
#> $allocation_key
#> grant CropName allocation
#> 1 0.5 Tomato 0.1111
#> 2 0.5 Corn seed 0.3889
#>
run_economic_analysis(scenario = scenario,
price_per_m3 = 0.1,
membership_fee = 200,
grant = 0.5,
initialSituation = FALSE)
#> $annual
#>
#> $total_investement
#>
#> $allocation_key
#> grant CropName allocation
#> 1 0.5 Tomato 0.1111
#> 2 0.5 Corn seed 0.3889
#>
crop <- scenario$CropName
allocation_custom <- data.frame(CropName = crop,
allocation = c(0.5, 0.5))
run_economic_analysis(scenario = scenario,
price_per_m3 = 0.1,
membership_fee = 200,
grant = 0,
initialSituation = TRUE,
allocation_key = allocation_custom)
#> $annual
#>
#> $allocation_key
#> grant CropName allocation
#> 1 0 Tomato 0.5
#> 2 0 Corn seed 0.5
#>