Logical Decisions - Classweb

Advanced Tutorial
This tutorial section covers some of LDW's more advanced
features, including measure categories, probabilities, importing
data from outside sources, and interactions.
We will work with the truck example from the Introductory
Tutorial. To retrieve this example, use the File::Open option to
load in the file TUTOR1.LDW. To avoid overwriting this file, you
should immediately use the File::Save As option to save it with
the name TUTOR2.LDW.
Measure Categories
Measure categories are sub-measures you can use to combine
related pieces of data into a single measure level. Measure
categories are useful when you want a measure to be the
weighted average or sum of several numbers. We will use
categories in this tutorial to combine two fuel economy estimates
into a single measure.
We will add two categories to the "Fuel Economy" measure. The
categories will represent the EPA City and EPA Highway miles
per gallon estimates for the truck alternatives.
When a measure has categories, its levels are computed as a
weighted sum of its category levels. When you add a category for
a measure, any previously defined levels for the measure will be
overwritten.
Suppose we want the levels for the "Fuel Economy" measure to be
the average of each truck's City and Highway mpg estimates, and
suppose we have collected the following data:
Section 5 -- Advanced Tutorial 5-1