normalDF: Normal Distribution based desirability functions.

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

Description

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

Usage

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

Arguments

LSL

Lower specification limit

T

Target value

USL

Upper specification limit

Value

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

Author(s)

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

References

XXX Technical Report ZZZ

See Also

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

Examples

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## 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)

desire documentation built on May 30, 2017, 4:46 a.m.

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