MAVF_sensitivity computes summary statistics for multi-attribute value
scores of x and y given a range of swing weights for each attribute
MAVF_sensitivity(data, x, y, x_wt_min, x_wt_max, y_wt_min, y_wt_max)
| data | A data frame |
|---|---|
| x | Variable from data frame to represent |
| y | Variable from data frame to represent |
| x_wt_min | Lower bound anchor point for |
| x_wt_max | Upper bound anchor point for |
| y_wt_min | Lower bound anchor point for |
| y_wt_max | Upper bound anchor point for |
A data frame with added variables consisting of sensitivity analysis summary statistics for each product or service (row).
The sensitivity analysis performs a Monte Carlo simulation with 1000 trials for each product or service (row). Each trial randomly selects a weight from a uniform distribution between the lower and upper bound weight parameters and calculates the mult-attribute utility score. From these trials, summary statistics for each product or service (row) are calculated and reported for the final output.
MAVF_score for computing the multi-attribute value score of x and y
given their respective weights
SAVF_score for computing the exponential single attribute value score
# Given the following data frame that contains \code{x} and \code{y} attribute # values for each product or service contract, we can compute how the range of # swing weights for each \code{x} and \code{y} attribute influences the multi- # attribute value score. df <- data.frame(contract = 1:10, x_attribute = c(0.92, 0.79, 1.00, 0.39, 0.68, 0.55, 0.73, 0.76, 1.00, 0.74), y_attribute = c(0.52, 0.19, 0.62, 1.00, 0.55, 0.52, 0.53, 0.46, 0.61, 0.84)) MAVF_sensitivity(df, x_attribute, y_attribute, .55, .75, .25, .45)#> contract x_attribute y_attribute MAVF_Min MAVF_1st_Q MAVF_Median MAVF_Mean #> 1 1 0.92 0.52 0.7318977 0.7572461 0.7810366 0.7805395 #> 2 2 0.79 0.19 0.5122333 0.5474166 0.5814940 0.5807786 #> 3 3 1.00 0.62 0.8290079 0.8476105 0.8681758 0.8674587 #> 4 4 0.39 1.00 0.5426169 0.5727468 0.6031242 0.6035934 #> 5 5 0.68 0.55 0.5871887 0.6195961 0.6351362 0.6348964 #> 6 6 0.55 0.52 0.4908786 0.5256523 0.5398870 0.5398545 #> 7 7 0.73 0.53 0.6121045 0.6432748 0.6610088 0.6604361 #> 8 8 0.76 0.46 0.6034820 0.6346506 0.6559554 0.6555124 #> 9 9 1.00 0.61 0.8245081 0.8436003 0.8647067 0.8639708 #> 10 10 0.74 0.84 0.7424174 0.7645705 0.7747950 0.7751764 #> MAVF_3rd_Q MAVF_Max MAVF_Range #> 1 0.8029579 0.8261519 0.09425420 #> 2 0.6132971 0.6458675 0.13363418 #> 3 0.8868259 0.9049736 0.07596571 #> 4 0.6328802 0.6640672 0.12145036 #> 5 0.6505182 0.6807529 0.09356420 #> 6 0.5550466 0.5873719 0.09649327 #> 7 0.6777540 0.7066007 0.09449621 #> 8 0.6760822 0.7048483 0.10136631 #> 9 0.8838476 0.9024729 0.07796480 #> 10 0.7860225 0.8074724 0.06505504