TSEwgt (version 0.1.0)

AVERSEw: Average relative squared error (aRSE)

Description

Calculates average relative squared error (aRSE) under multiple, different weighting schemes

Usage

AVERSEw(Actual = data.frame(), Survey = data.frame(),
  Weights = data.frame())

Arguments

Actual

data from a "gold standard" survey; objects are variable columns from "gold standard" survey that corruspond to variable columns Survey

Survey

data from a survey; objects are variable columns from a survey that corruspond to variable columns from Actual

Weights

weights to be applied to Survey data; objects are weights columns

Value

Average relative squared error (aRSE) under multiple, different weighting schemes

Details

aRSE for weighting scheme # => mean value of the aRSEs for specified variables under weighting scheme # => mean value of aRSEs for objects in Survey=data.frame() * objects in Weights=data.frame()

Examples

# NOT RUN {
AVERSEw(Actual=data.frame(TESTWGT$A1, TESTWGT$A2),
Survey=data.frame(TESTWGT$Q1, TESTWGT$Q2),
Weights=data.frame(TESTWGT$W1, TESTWGT$W2))
# }