AVEMAPE: Calculate average mean absolute percentage error (aMAPE)

In TSE: Total Survey Error

Description

Calculates average mean absolute percentage error (aMAPE) for one or more surveys

Usage

AVEMAPE(Actuals1 = data.frame(), Observed1 = data.frame(), ...)

Arguments

Actuals1	= data from a "gold standard" survey; objects are variable columns from "gold standard" survey that corruspond to variable columns Observed1
Observed1	= data from survey 1; objects are variable columns from survey 1 that corruspond to variable columns from Actuals1
...	= "gold standard" data/survey # data for additional surveys

Details

aMAPE for survey # => mean value of the MAPEs for specified variables in survey # => mean value of MAPEs for objects in Observed#=data.frame()

Value

Average mean absolute percentage error (aMAPE)

Note

Make sure to properly order inputs, per the example: Actuals1=data.frame() objects and corrusponding Observed1=data.frame() objects must be given in the same order as each other; and ... must be given in numbered pairs of Actuals#, Observed#, and those pairs given in sequence of their #s.

Examples

AVEMAPE(Actuals1=data.frame(TESTNUMB$AQ1, TESTNUMB$AQ2),
Observed1=data.frame(TESTNUMB$O1Q1, TESTNUMB$O1Q2),
Actuals2=data.frame(TESTNUMB$AQ1, TESTNUMB$AQ2),
Observed2=data.frame(TESTNUMB$O2Q1, TESTNUMB$O2Q2),
Actuals3=data.frame(TESTNUMB$AQ1, TESTNUMB$AQ2),
Observed3=data.frame(TESTNUMB$O3Q1, TESTNUMB$O3Q2))

TSE documentation built on June 20, 2019, 5:03 p.m.