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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