DecisionAnalysis (version 1.1.0)

MAVF_breakout: Multiple Attribute Value Function (MAVF) Breakout

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)

# }