OpasnetUtils/Apply.decisions
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Description
apply.decisions takes a decision table and applies that to an assessment.
Parameters
- dec is a decision data.frame that must have columns Decision, Option, Variable, Cell, Change, Result. It can have several variables.
Code
# APPLY.DECISIONS ############## apply.decisions takes a decision table and applies that to an assessment.
## dec is a decision data.frame that must have columns Decision, Option, Variable, Cell, Change, Result. It can have several variables.
apply.decisions <- function(assessment) {
dec <- merge(assessment@decisions, assessment@dependencies, by.x = "Variable", by.y = "Name")
colnames(dec)[colnames(dec) == "Result.x"] <- "Result"
colnames(dec)[colnames(dec) == "Result.y"] <- "Name"
for(variables in unique(dec$Name)) { # Take one variable at a time.
dec.var <- dec[dec$Name == variables, ] # dec.var = variable-specific decisions
scenarios <- data.frame(temp = 1)
for(decisions in unique(dec.var$Decision)) { # Add BAU option to each decision and merge decisions.
temp <- as.character(dec.var[dec.var$Decision == decisions, "Option"])
temp <- data.frame(Options = c(temp, "BAU"))
colnames(temp) <- decisions
scenarios <- merge(scenarios, temp)
}
var <- assessment@vars[[variables]]# as.character(dec$Name[1])]]
var@output <- merge(scenarios[colnames(scenarios) != "temp"], var@output)
for(s in 1:nrow(dec.var)) { # Each option row handled separately
cell <- gsub("^[ \t]+|[ \t]+$", "", as.character(dec.var$Cell[s])) # Leading and trailing whitespaces removed.
cell <- gsub(":[ \t]+", ":", cell) # Whitespaces removed after :
cell <- gsub(";[ \t]+", ";", cell) # Whitespaces removed after ;
cell <- gsub("[ \t]+:", ":", cell) # Whitespaces removed before :
cell <- gsub("[ \t]+;", ";", cell) # Whitespaces removed before ;
cell <- strsplit(cell, split = ";") # Separate cell identifiers (indices and locations)
cell <- strsplit(cell[[1]], split = ":")
cond <- as.character(dec.var$Decision[s])
cond <- var@output[, cond] == as.character(dec.var$Option[s]) # Only the rows with the relevant option.
for(r in 1:length(cell)) { # All Cell conditions extracted and combined with AND.
cond <- cond * (var@output[, cell[[r]][1]] == cell[[r]][2])
}
cond <- as.logical(cond)
if(dec.var$Change[s] == "Replace" )
{var@output[cond, "Result"] <- dec.var$Result[s]}
if(dec.var$Change[s] == "Add" )
{var@output[cond, "Result"] <- as.numeric(dec.var$Result[s]) + var@output[cond, "Result"]}
if(dec.var$Change[s] == "Multiply")
{var@output[cond, "Result"] <- as.numeric(dec.var$Result[s]) * var@output[cond, "Result"]}
}
assessment@vars[[variables]] <- var
}
return(assessment)
}
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