AVERMSLEw {TSEwgt}

Average root mean squared logarithmic error (aRMSLE)

Description

Calculates average root mean squared logarithmic error (aRMSLE) under multiple, different weighting schemes

Usage

AVERMSLEw(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

Details

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

Value

Average root mean squared logarithmic error (aRMSLE) under multiple, different weighting schemes

Note

Make sure to properly order inputs, per the example: Actual=data.frame() objects and corrusponding Survey=data.frame() objects must be given in the same order as each other; and Weights=data.frame() objects must be given in sequence of weighting scheme #.

Examples

AVERMSLEw(Actual=data.frame(TESTWGT$A1, TESTWGT$A2),
Survey=data.frame(TESTWGT$Q1, TESTWGT$Q2),
Weights=data.frame(TESTWGT$W1, TESTWGT$W2))