The DoE Toolkit provides designer tools that allow you to generate classic experimental designs for the following methodologies:
Screening: Full Factorial and Fractional Factorial
Response Surface: Central Composite and Box-Behnken
Mixture
Orthogonal
In addition, the DoE Toolkit includes an optimizer tool, which allows you to find an optimal subset of runs based on a design already generated using one of the designer tools.
The DoE Toolkit allows you to augment any design by randomizing, replicating, and/or blocking. You can also add central points as well as axial points.
You can control the way in which a generated design is displayed in the usual ways, by displaying factor levels as values or as factor level indices. Unique to the DoE Toolkit , you can also assign colors to factor levels and display a generated design using colors to represent factor levels.
You can export any generated design to text (comma-separated value form), thereby making it easy to import your design into any spreadsheet or statistical analysis app.
Screening: Full Factorial and Fractional Factorial
Response Surface: Central Composite and Box-Behnken
Mixture
Orthogonal
In addition, the DoE Toolkit includes an optimizer tool, which allows you to find an optimal subset of runs based on a design already generated using one of the designer tools.
The DoE Toolkit allows you to augment any design by randomizing, replicating, and/or blocking. You can also add central points as well as axial points.
You can control the way in which a generated design is displayed in the usual ways, by displaying factor levels as values or as factor level indices. Unique to the DoE Toolkit , you can also assign colors to factor levels and display a generated design using colors to represent factor levels.
You can export any generated design to text (comma-separated value form), thereby making it easy to import your design into any spreadsheet or statistical analysis app.
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