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Run Matrix |
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Run Matrix |
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»Click here to display Table of Contents«
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Run Matrix |
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Run Matrix |
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Use the run matrix design to load your own design matrix. The run matrix is read by HyperStudy and used like any other design. Spaces, tabs, or commas can delimit the individual elements of the matrix. The rows define the different runs and the columns define the input variable values.
An example of a run matrix is shown below.
1.0 |
2.0 |
3.0 |
4.0 |
4.1 |
4.3 |
4.5 |
4.6 |
6.7 |
8.1 |
10.0 |
11.0 |
17.2 |
1.0 |
1.0 |
3.0 |
.02 |
0.4 |
0.5 |
1.7 |
3.4 |
2.1 |
7.3 |
9.1 |
| • | The advantage of using a run matrix directly is that you can create your own design based on individual requirements. |
| • | The matrix does not have to fit any DOE type requirements. You can use it to automate a parameter study. |
| • | The run matrix uses exact values of the variable. This is in contrast to the user defined DOE, which contains integers to represent the corresponding level of the variable. |
| • | It is not necessary to utilize all designs in a study. Designs that are not desired can be turned off from the Write/Execute runs panel. |
| • | Imported values are mapped to the independent variables. |
| • | Any data in the inclusion matrix is combined with the run data for post-processing. Any run matrix point which is already part of the inclusion data will not be rerun. |
In the Specifications step, you can change the following setting of Run Matrix from the Settings tab.
Parameter |
Default |
Range |
Description |
Matrix File |
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File that has the dataset for your own design of matrix. |
Use Inclusion Matrix |
false |
true or false |
Concatenation without duplication between the inclusion and the generated run matrix. |