Revision as of 11:18, 14 June 2012

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make.oassessment

Description

make.oassessment creates S4 assessment from dependencies data.frame, including decisions, stakeholders, probabilities, and variables.

NOTE! You must include the formula code from each variable page, otherwise formulas and dependencies are not updated.

Parameters

Dependencies

a data.frame that has the structure of oassessment@name (Columns: Name, Identifier, Direction, Result)

Code

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# MAKE.OASSESSMENT ########## make.oassessment creates S4 assessment from dependencies data.frame, including decisions, stakeholders, probabilities, and variables. 
########### NOTE! You must include the formula code from each variable page, otherwise formulas and dependencies are not updated. 
########### Parameters:
## dependencies: a data.frame that has the structure of oassessment@name (Columns: Name, Identifier, Direction, Result)
make.oassessment <- function(x) {
	x  <- fetch(x)
	decisions     <- fetch(x[x$Result == "decisions",     "Identifier"])
	stakeholders  <- fetch(x[x$Result == "stakeholders",  "Identifier"])
	probabilities <- fetch(x[x$Result == "probabilities", "Identifier"])
	dependencies  <- x[!x$Result %in% c("decisions", "stakeholders", "probabilities"), ]
	vars          <- list()
	for(i in 1:nrow(dependencies)) { # Objects with names as aliases are created and filled with data from Opasnet Base.
		cat("Initialising variable ", as.character(dependencies$Name[i]), ".\n", sep = "")
		ident <- as.character(dependencies$Identifier[i])
		data <- fetch(ident, direction = as.character(dependencies$Direction[i]))
		if(exists(paste("formula.", ident, sep = ""))) 
			{formula <- get(paste("formula.", ident, sep = ""))
		} else {
			formula <- function(dependencies) {return(0)}
		}
		if(exists(paste("dependencies.", ident, sep = "")))
			{depend <- get(paste("dependencies.", ident, sep = ""))
		} else {
			depend <- data.frame()
		}
		vars[[i]] <- make.ovariable(
			name = as.character(dependencies$Result[i]),
			data = data,
			formula = formula,
			dependencies = depend
		)
	}
	names(vars) <- dependencies$Result
	assessment <- new("oassessment", 
		dependencies  = dependencies, 
		decisions     = decisions,
		stakeholders  = stakeholders,
		probabilities = probabilities,
		vars          = vars
	)

	return(assessment)
}

setclass.oassessment

Description

Defines the S4 class "oassessment" which is the object type for open assessments.

Code

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# SETCLASS OASSESSMENT ################### Defines the S4 class "oassessment" which is the object type for open assessments.
temp <- setClass(
	"oassessment", 
	representation(
		dependencies  = "data.frame", 
		decisions     = "data.frame",
		probabilities = "data.frame",
		stakeholders  = "data.frame",
		vars          = "list"
	)
)

@@ Line 90: / Line 90: @@
 	)
 )
-</rcode>
-=movariable=
-==Description==
-movariable takes a data.frame, a function, and a list and makes an ovariable out of them. It is a subfunction of [[make.ovariable]] and prevents infinite recursion of S4 methods.
-==Code==
-<rcode
-	name="answer"
-	label="Initiate functions"
-	graphics="1"
->
-library(OpasnetBaseUtils)
-library(xtable)
-n <- 5
-# MOVARIABLE ########## movariable takes a data.frame, a function, and a list and makes an ovariable out of them. It is a
-#####subfunction of make.ovariable and prevents infinite recursion of S4 methods.
-movariable <- function(
-	data,
-	formula,
-	dependencies,
-	name
-) {
-	output <- interpret(data)
-	out <- new("ovariable",
-		name         = name,
-		output       = output,
-		data         = data,
-		marginal     = ifelse(colnames(output) %in% c("Result", "Unit"), FALSE, TRUE),
-		formula      = formula,
-		dependencies = dependencies
-	)
-	out <- update(out)
-	return(out)
-}
 </rcode>

OpasnetUtils/Oassessment: Difference between revisions

Revision as of 11:18, 14 June 2012

Contents

make.oassessment

Description

Parameters

Dependencies

Code

setclass.oassessment

Description

Code

See also

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