View source: R/3.3_Factorial_designs_Functions.R
| rsmDesign | R Documentation |
Generates a response surface design containing a cube, centerCube, star, and centerStar portion.
rsmDesign(
k = 3,
p = 0,
alpha = "rotatable",
blocks = 1,
cc = 1,
cs = 1,
fp = 1,
sp = 1,
faceCentered = FALSE
)
k |
Integer value giving the number of factors. By default, |
p |
Integer value giving the number of additional factors in the response surface design by aliasing effects. Default is '0'. |
alpha |
Character string indicating the type of star points to generate. Should be |
blocks |
Integer value specifying the number of blocks in the response surface design. Default is '1'. |
cc |
Integer value giving the number of centerpoints (per block) in the cube portion (i.e., the factorial 2^k design) of the response surface design. Default is '1'. |
cs |
Integer value specifying the number of centerpoints in the star portion. Default is '1'. |
fp |
Integer value giving the number of replications per factorial point (i.e., corner points). Default is '1'. |
sp |
Integer value specifying the number of replications per star point. Default is '1'. |
faceCentered |
Logical value indicating whether to use a faceCentered response surface design (i.e., |
Generated designs consist of a cube, centerCube, star, and centerStar portion. The replication structure can be set with the parameters cc (centerCube), cs (centerStar), fp (factorialPoints), and sp (starPoints).
The function returns an object of class facDesign.c.
facDesign, fracDesign, fracChoose, pbDesign, rsmChoose
# Example 1: Central composite design for 2 factors with 2 blocks, alpha = 1.41,
# 5 centerpoints in the cube portion and 3 centerpoints in the star portion:
rsmDesign(k = 2, blocks = 2, alpha = sqrt(2), cc = 5, cs = 3)
# Example 2: Central composite design with both, orthogonality and near rotatability
rsmDesign(k = 2, blocks = 2, alpha = "both")
# Example 3: Central composite design with:
# 2 centerpoints in the factorial portion of the design (i.e., 2)
# 1 centerpoint in the star portion of the design (i.e., 1)
# 2 replications per factorial point (i.e., 2^3*2 = 16)
# 3 replications per star point (i.e., 3*2*3 = 18)
# Makes a total of 37 factor combinations
rsdo = rsmDesign(k = 3, blocks = 1, alpha = 2, cc = 2, cs = 1, fp = 2, sp = 3)
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