View source: R/utility_functions.R
desirability_overall
is the cost function for optimization with more
than one response variable. It is the weighted mean of the individual
desirability functions.
1 2 3 4 5 6 7 8 9 10 | desirability_overall(
factors,
Target,
w,
nfact,
xnam,
tuner_rsm,
Pred_min,
Pred_max
)
|
factors |
Factors (tuning variables). |
Target |
Vector of the target values for each response. |
w |
Vector of weights for each response. |
nfact |
Number of factor values. |
xnam |
Formula names for |
tuner_rsm |
Second order model fit. |
Pred_min |
Vector of minimum values which can be reached by the model within the factor ranges for each response variable. |
Pred_max |
Vector of maximum value which can be reached by the model within the factor ranges for each response variable. |
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