MAVF_breakout: Multiple Attribute Value Function (MAVF) Breakout

In AFIT-R/MODA: Implementation of Multi Objective Decision Analysis

Description

: Takes a matrix of Single Attribute Value Function (SAVF) scores and shows the break out of each alternative's weighted SAVF scores. The sum of the alternative's weighted SAVF scores is their MAVF score.

Usage

MAVF_breakout(SAVF_matrix, weights, names)

Arguments

SAVF_matrix	Matrix of SAVF scores
weights	Numeric vector of SAVF weights
names	Vector of attribute names

Value

MAVF breakout graph

Examples

## Not run:  

qbdata <- NFLcombine[1:7,]

Height <- SAVF_exp_score(qbdata$heightinchestotal, 68, 75.21, 82)
Weight <- SAVF_exp_score(qbdata$weight, 185, 224.34, 275)
Forty <- SAVF_exp_score(qbdata$fortyyd, 4.3, 4.81, 5.4, increasing=FALSE)
Shuttle <- SAVF_exp_score(qbdata$twentyss, 3.8, 4.3, 4.9, increasing=FALSE)
Vertical <- SAVF_exp_score(qbdata$vertical, 21, 32.04, 40)
Broad <- SAVF_exp_score(qbdata$broad, 90, 111.24, 130)
Wonderlic <- SAVF_exp_score(qbdata$wonderlic, 0, 27.08, 50)

SAVF_matrix = cbind(Height, Weight, Forty, Shuttle, 
                 Vertical, Broad, Wonderlic)
weights = c(0.096, 0.224, 0.092, 0.138, 0.152, 0.228, 0.07)

MAVF_breakout(SAVF_matrix, weights, qbdata$name)
## End(Not run)

AFIT-R/MODA documentation built on May 28, 2019, 11:01 a.m.