Description Usage Arguments Value Examples
: Takes a matrix of Single Attribute Value Functions (SAVF) scores and multiplies it by the weights vector to calculate the alternatives MAVF score.
1 | MAVF_Scores(SAVF_matrix, weights, names)
|
SAVF_matrix |
Matrix of SAVF scores |
weights |
Numeric vector of SAVF weights |
names |
Vector of attribute names |
MAVF Scores
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$wonderlic, 0, 27.08, 50)
SAVF_matrix = cbind(Height, Weight, Forty, Shuttle,
Vertical, Broad, Wonderlic)
weights = c(0.096, 0.224, 0.092, 0.138, 0.152, 0.228, 0.07)
MAVF_Scores(SAVF_matrix, weights, qbdata$name)
## End(Not run)
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