"ovariable"Standard modelling variables for the Opasnet modelling framework
Objects can be created by calls of the form new("ovariable", ...).
Or by using the Ovariable-constructor.
name:Object of class "character" name of variable, should match object name
output:Object of class "data.frame" output from formula and/or data operations
data:Object of class "data.frame" data describing the variable, should have a "Result" column
marginal:Object of class "logical" identifies output columns which are considered indices
formula:Object of class "function" a function that produces a data.frame that describes this variable
dependencies:Object of class "data.frame" list of variables that are used in formula, format is described in details for Fetch
ddata:Object of class "character" specifies an Opasnet page identifier (Op_enXXXX) which will be used to download most recent data on this variable in the Opasnet database
signature(x = "ovariable"): Math will be applied on Result column of output
signature(x = "data.frame", y = "ovariable"): data.frame will be converted to ovariable (with only output slot defined) and then merged
signature(x = "numeric", y = "ovariable"): numeric is converted to data.frame and then to ovariable and then merged
signature(x = "ovariable", y = "data.frame"): same as above
signature(x = "ovariable", y = "numeric"): same as above
signature(x = "ovariable", y = "ovariable"): output slots will be merged with all = TRUE, a blank ovariable with only output defined is returned
signature(e1 = "numeric", e2 = "ovariable"): numeric is converted to data.frame and then to ovariable and then operated
signature(e1 = "ovariable", e2 = "numeric"): same as above
signature(e1 = "ovariable", e2 = "ovariable"): the ovariables are merged and then the two Result columns are operated unto, the result is saved in another Result column (or the same if they are not named: "Var1Result" vs "Result")
signature(x = "ovariable"): plots a simple comparison between sources (data vs formula)
signature(object = "ovariable"): returns a data.frame. Takes function_names and marginals as extra arguments. The former matches
character vector elements into functions which will be tapplied with. The latter matches character vector elements to output
data.frame columns which define INDEX. The default is to tapply over iterations using mean, sd, min, quantile(probs=0.025), median, quantile(probs=0.975) and max.