Ffacdes1

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Contents 1 Purpose 2 Synopsis 3 Description 3.1 Inputs 3.2 Optional Inputs 3.3 Outputs 4 See Also

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

See Also

distslct, doptimal, factdes, stdsslct