Factdes

From Eigenvector Documentation Wiki

Contents 1 Purpose 2 Synopsis 3 Description 3.1 Inputs 3.2 Optional Inputs 3.3 Outputs 4 Example 5 See Also

Purpose

Full factorial design of experiments.

Synopsis

desgn = factdes(k,levl)

desgn = factdes(levls)

Description

Create a matrix of full factorial design of experiments values.

Inputs

• k = the number of factors in the design i.e. the number of columns in the output (desgn), and (levl) is the number of levels (default = 2). All factors are created at the given number of levels. To create a DOE with a different number of levels in each factor, use form (B) of the inputs.

Optional Inputs

• levls = can be provided as a single input containing a vector equal in length to the number of factors desired and indicating the number of levels for each of those factors. For example: [2 2 3] would generate a 3-factor model with two factors at 2 levels and one at 3 levels.

Outputs

• desgn = Output (desgn) is the matrix of the experimental design. If levl=2 then this gives a 2^k design.

Example

>> desgn = factdes(3,[2 2 3])
desgn =
    -1    -1    -1
    -1    -1     0
    -1    -1     1
    -1     1    -1
    -1     1     0
    -1     1     1
     1    -1    -1
     1    -1     0
     1    -1     1
     1     1    -1
     1     1     0
     1     1     1

See Also

distslct, doptimal, ffacdes1, stdsslct