setDesignW: 'setDesignW' sets the design weight(s) for each variable and...

In david-salgado/contObsPredModelParam: Class and methods for the parameters of a continuous observation- prediction model

Description

setDesignW sets the design weight(s) for each variable and for each statistical unit

Usage

setDesignW(object) <- value

## S4 replacement method for signature 'contObsPredModelParam,data.table'
setDesignW(object) <- value

Arguments

object	Object of class contObsPredModelParam containing the statistical units whose design weights are to be computed.
Param	data.table with the design weigths for each variable and each statistical unit.

Value

Object of class contObsPredModelParam with the design weights.

Examples

## Not run: 

load('C:/FDStQList.RData')
load('C:/FGStQList.RData')
FD <- FD.StQList[['MM112016']]
FDList <- FD.StQList[-11]
ObsPredPar <- new(Class = 'contObsPredModelParam',
                  Data = FG,
                  VarRoles = list(Units = 'NOrden', Domains = 'Tame_05._4.'))
Weights <- StQ::dcast_StQ(ObsPredPar@Data)[, 'NOrden', with = FALSE][, Personal_07.__2.__ := 1][, CifraNeg_13.___ := 1]
setDesignW(ObsPredPar) <- Weights


## End(Not run)

david-salgado/contObsPredModelParam documentation built on Nov. 7, 2019, 5:45 p.m.