locate: Selection of a compromise

In JOP: Joint Optimization Plot

Description

The function locate allows the user to choose a point as a good compromise on the right plot and locate returns the corresponding design parameters.

Usage

locate(x, ncom = 1 ,xlu = NULL ,no.col = FALSE ,standard = TRUE ,col = 1 ,lty = 1,
bty = "l" ,las = 1 ,adj = 0.5 ,cex = 1 ,cex.lab = 1 ,cex.axis = 1,
xlab = c("Stretch Vector" , "Stretch Vector"),
ylab = c("Parameter Setting" , "Predicted Response"),lwd=1,...)

Arguments

x	object from JOP
ncom	number of compromises that the user seeks to select, default is 1
xlu	The vector of x-coordinate that indicates where the user assumes a good compromise, see Details
no.col	If TRUE the plot will be gray scaled. Otherwise the plot will be coloured.
standard	If TRUE the standard deviations will be displayed on the right hand plot.
col	Graphical argument, see details.
lty	Graphical argument, see details.
xlab	Graphical argument, see details.
ylab	Graphical argument, see details.
bty,las,cex,adj,cex.lab,cex.axis,lwd	Graphical arguments
...	Further graphical arguments passed to plot.

Details

The function locate asks the user to choose a compromise on the right hand plot and it displays the nearest calculated points by means of vertical lines. Furthermore it returns the chosen responses together with the corresponding parameters.

Let nx be the number of parameters (number of columns of datax) and ny be the number of responses (number of columns of datay). Then col and lty must have length nx+ny. Otherwise predefined grey colors (for no.col=TRUE) or standard colors 1, 2, ..., nx+ny are used. The arguments xlab and ylab must have length two, where the first entry contains the label for x-axis and y-axis of the left hand plot and the second entry contains the label for x-axis and y-axis of the right hand plot. Additional graphical arguments can be plugged in.

Value

locate returns a list containing the following elements:

ChosenResponses	selected responses by user
ChosenParameters	corresponding selected parameters

Author(s)

Sonja Kuhnt and Nikolaus Rudak

References

Sonja Kuhnt and Martina Erdbruegge (2004). A strategy of robust paramater design for multiple responses, Statistical Modelling; 4: 249-264, TU Dortmund.

Martina Erdbruegge, Sonja Kuhnt and Nikolaus Rudak (2011). Joint optimization of independent multiple responses based on loss functions, Quality and Reliability Engineering International 27, doi: 10.1002/qre.1229.

Joseph J. Pignatiello (1993). Strategies for robust multiresponse quality engineering, IIE Transactions 25, 5-15, Texas A M University.

Alexios Ghalanos and Stefan Theussl (2012). Rsolnp: General Non-linear Optimization Using Augmented Lagrange Multiplier Method. R package version 1.12.

Peter K Dunn and Gordon K Smyth (2012). dglm: Double generalized linear models, R package version 1.6.2.

Sonja Kuhnt, Nikolaus Rudak (2013). Simultaneous Optimization of Multiple Responses with the R Package JOP, Journal of Statistical Software, 54(9), 1-23, URL http://www.jstatsoft.org/v54/i09/.

Examples

# Example: Sheet metal hydroforming process
outtest <- JOP(datax = datax, datay = datay, tau = list(0, 0.05), numbW = 5)

# Location of points
locate(outtest, xlu = c(3, 4))

JOP documentation built on May 2, 2019, 3:31 p.m.