simProc {r6qualitytools} | R Documentation |
simProc: Simulated Process
Description
This is a function to simulate a black box process for teaching the use of designed experiments. The optimal factor settings can be found using a sequential assembly strategy i.e. apply a 2^k factorial design first, calculate the path of the steepest ascent, again apply a 2^k factorial design and augment a star portion to find the optimal factor settings. Of course, other strategies are possible.
Usage
simProc(x1, x2, x3, noise = TRUE)
Arguments
x1 |
numeric vector containing the values for factor 1. |
x2 |
numeric vector containing the values for factor 2. |
x3 |
numeric vector containing the values for factor 3. |
noise |
logical value deciding whether noise should be added or not. Default setting is |
Value
simProc
returns a numeric value within the range [0,1].
Examples
simProc(120, 140, 1)
simProc(120, 220, 1)
simProc(160, 140, 1)
[Package r6qualitytools version 1.0.1 Index]