Factdes: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
imported>Scott |
||
(4 intermediate revisions by 3 users not shown) | |||
Line 1: | Line 1: | ||
===Purpose=== | ===Purpose=== | ||
Full factorial design of experiments. | |||
===Synopsis=== | ===Synopsis=== | ||
:desgn = factdes( | |||
: desgn = factdes(k,levl) | |||
: desgn = factdes(levls) | |||
===Description=== | ===Description=== | ||
Create a matrix of full factorial design of experiments values. | |||
Optional | ====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=== | |||
<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