# MAVF_breakout: Multiple Attribute Value Function (MAVF) Breakout In AFIT-R/DecisionAnalysis: 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

 `1` ```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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18``` ```## 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/DecisionAnalysis documentation built on July 31, 2018, 12:10 a.m.