dualGainLossFunction: Calculates the gain-loss matrix from a decision matrix

In avilesd/productConfig: Tools to analyze behavioral patterns from Product Configurators

Description

This function is called by smallerThanZero for its second step. It takes a matrix and runs the gain-loss function over each value of the matrix. The gain-loss function returns a positive value (gain) for values larger than the status-quo and negative values (loss) for smaller than the sq.

Usage

dualGainLossFunction(aMatrix, dual.refps)

Arguments

aMatrix	the decision matrix, with attr as columns and rounds as rows.
dual.refps	two numeric reference points (status-quo, goal).

Details

The matematical function used here is the one given by [1] and since it is composed of a logarithmic function it does not accept negative values.

Value

a gain-loss matrix with equal dimensions as the input aMatrix

References

[1] Golman, R., & Loewenstein, G. (2011). Explaining Nonconvex Preferences with Aspirational and Status Quo Reference Dependence. Mimeo, Carnegie Mellon University.

Examples

#Runnable
dualGainLossFunction(matrix(101:300, 20, 10, byrow= T), dual.refps= c(142, 195))
dualGainLossFunction(matrix(16:31, 4, 4), dual.refps= c(20, 25))

avilesd/productConfig documentation built on May 11, 2019, 4:08 p.m.