r6qualitytools (version 1.0.1)

overall: overall: Overall Desirability.

Description

This function calculates the desirability for each response as well as the overall desirability. The resulting data.frame can be used to plot the overall desirability as well as the desirabilities for each response. This function is designed to visualize the desirability approach for multiple response optimization.

Usage

overall(fdo, steps = 20, constraints, ...)

Value

A data.frame with a column for each factor, the desirability for each response, and a column for the overall desirability.

Arguments

fdo

An object of class facDesign.c containing fits and desires.

steps

A numeric value indicating the number of points per factor to be evaluated, which also specifies the grid size. Default is `20`.

constraints

A list of constraints for the factors in coded values, such as list(A > 0.5, B < 0.2).

...

Further arguments passed to other methods.

See Also

facDesign, rsmDesign, desirability.

Examples

#Example 1: Arbitrary example with random data
rsdo = rsmDesign(k = 2, blocks = 2, alpha = "both")
rsdo$.response(data.frame(y = rnorm(rsdo$nrow()), y2 = rnorm(rsdo$nrow())))
rsdo$set.fits(rsdo$lm(y ~ A*B + I(A^2) + I(B^2)))
rsdo$set.fits(rsdo$lm(y2 ~ A*B + I(A^2) + I(B^2)))
rsdo$desires(desirability(y, -1, 2, scale = c(1, 1), target = "max"))
rsdo$desires(desirability(y2, -1, 0, scale = c(1, 1), target = "min"))
dVals = overall(rsdo, steps = 10, constraints = list(A = c(-0.5,1), B = c(0, 1)))