normalDF: Normal Distribution based desirability functions.
In desire: Desirability functions in R

Description Usage Arguments Value Author(s) References See Also Examples

Desirability functions based on the normal distribution. These where developed by XXX in order to improve YYY.

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normMax(LSL, USL)
normMin(LSL, USL)
normTarget(LSL, T, USL)

`LSL`	Lower specification limit
`T`	Target value
`USL`	Upper specification limit

normMin and normMax return functions implementing the specified minimzation or maximizing desirability. normTarget returns a function implementing the specified target desirability.

Heike Trautmann trautmann@statistik.tu-dortmund.de, Detlef Steuer steuer@hsu-hamburg.de and Olaf Mersmann olafm@statistik.tu-dortmund.de

XXX Technical Report ZZZ

harrington1 for one sided Harrington type desirabilities, harrington2 for two sided Harrington type desirabilities and derringerSuich for Derringer-Suich type desirabilities.

## Create desirability functions:
d1 <- normMin(-1, 1)
d2 <- normMax(-1, 1)
d3 <- normTarget(-1, 0, 1)

## Show shape of desirability function:
opar <- par(mfrow=c(3,1))
plot(d1)
plot(d2)
plot(d3)
par(opar)

## Show 
dsplot(log(x), d1, .5, 2)
dsplot(sin(x), d2, -pi, pi)
dsplot(cos(x), d3, 0, 2*pi)