TSE (version 0.1.0)

AVERMSLE: Calculate average root mean squared logarithmic error (aRMSLE)

Description

Calculates average root mean squared logarithmic error (aRMSLE) for one or more surveys

Usage

AVERMSLE(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

Value

Average root mean squared logarithmic error (aRMSLE)

Details

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

Examples

# NOT RUN {
AVERMSLE(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))
# }