Ffacdes1
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Purpose
Output a fractional factorial design matrix.
Synopsis
- desgn = ffacdes1(k,p)
Description
FFACDES1 outputs a 2(k-p) fractional factorial design of experiments. The design is constructed such that the highest order interaction term is confounded. This is one way to select a fractional factorial. Input k is the total number of factors in the design and p is the number of confounded factors {default: p = 1}. Note that it is required that p < k. Output desgn is the experimental design matrix.
Inputs
- k = total number of factors in the design.
Optional Inputs
- p = number of confounded factors (if omitted, p=1).
Outputs
- desgn = experimental design matrix