Factdes: Difference between revisions
Jump to navigation
Jump to search
imported>Scott No edit summary |
imported>Scott |
||
(One intermediate revision by the same user not shown) | |||
Line 9: | Line 9: | ||
===Description=== | ===Description=== | ||
Create a full factorial design of experiments. | Create a matrix of full factorial design of experiments values. | ||
====Inputs==== | ====Inputs==== | ||
Line 21: | Line 21: | ||
* '''desgn''' = Output (desgn) is the matrix of the experimental design. If levl=2 then this gives a 2^k design. | * '''desgn''' = Output (desgn) is the matrix of the experimental design. If levl=2 then this gives a 2^k design. | ||
===Example=== | |||
<pre> | |||
>> 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 | |||
</pre> | |||
===See Also=== | ===See Also=== | ||
[[distslct]], [[doptimal]], [[ffacdes1]], [[stdsslct]] | [[distslct]], [[doptimal]], [[ffacdes1]], [[stdsslct]] |
Latest revision as of 10:37, 2 September 2011
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