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qualityTools (version 1.55)

facDesign: facDesign

Description

Generates a 2^k full factorial design.

Usage

facDesign(k = 3, p = 0, replicates = 1, blocks = 1, centerCube = 0)

Arguments

k
numeric value giving the number of factors. By default k is set to ‘3’.
p
numeric integer between ‘0’ and ‘7’. p is giving the number of additional factors in the response surface design by aliasing effects. For further information see fracDesign and fracChoose. By default p is set to ‘0’.
replicates
numeric value giving the number of replicates per factor combination. By default replicates is set to ‘1’.
blocks
numeric value giving the number of blocks. By default blocks is set to ‘1’. Blocking is only performed for k greater 2.
centerCube
numeric value giving the number of centerpoints within the 2^k design. By default centerCube is set to ‘0’.

Value

facDesign returns an object of class facDesign.

Details

facDesign generates 2^k full factorial designs.

See Also

fracDesign fracChoose rsmDesign pbDesign taguchiDesign http://www.r-qualitytools.org/html/Improve.html

Examples

Run this code
#returns a 2^3 full factorial design
vp.full = facDesign(k = 3)        
#generate some random response                        
response(vp.full) = rnorm(2^3) 
#summary of the full factorial design (especially no defining relation)                            
summary(vp.full)                                           

#------------

#returns a full factorial design with 3 replications per factor combination 
#and 4 center points
vp.rep = facDesign(k = 2, replicates = 3, centerCube = 4)  
#set names
names(vp.rep) = c("Name 1", "Name 2") 
#set units                     
units(vp.rep) = c("min", "F")         
#set low and high factor values                     
lows(vp.rep) = c(20, 40, 60)                               
highs(vp.rep) = c(40, 60, 80)  
#summary of the replicated full factorial Design        
summary(vp.rep)                                                

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