Doegui: Difference between revisions
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==Experiment Designer Window== | ==Experiment Designer Window== | ||
The Experiment Designer can be launched from the [[Workspace_Browser|Workspace Browser]] under the '''Tools''' section or from the command line as <tt>doegui</tt>. A default design will appear with a single factor and single response variable. Use the toolbar buttons and the tables to create and modify your design. For more information about design types see [[doegen#Inputs | doegen]]. When the design is complete, the toolbar button can be used to send it to the [[AnalysisWindow_Layout|Analysis]] window for [[mlr]] analysis. Within Analysis, a corresponding Y-Block (response DataSet) can be automatically created and the [[Analysis_of_DOE_Results|results analyzed]] using MLR | The Experiment Designer can be launched from the [[Workspace_Browser|Workspace Browser]] under the '''Tools''' section or from the command line as <tt>doegui</tt>. A default design will appear with a single factor and single response variable. Use the toolbar buttons and the tables to create and modify your design. For more information about design types see [[doegen#Inputs | doegen]]. When the design is complete, the toolbar button can be used to send it to the [[AnalysisWindow_Layout|Analysis]] window for [[mlr]] analysis. Within Analysis, a corresponding Y-Block (response DataSet) can be automatically created and the [[Analysis_of_DOE_Results|results analyzed]] using MLR or [[anovadoe|ANOVA]]. | ||
:''Experiment Designer:'' | :''Experiment Designer:'' | ||
::[[Image:doegui.png| |650px|DOE Window]] | ::[[Image:doegui.png| |650px|DOE Window]] | ||
===Factor | ===Factor and Category Tables=== | ||
Use the ''Factors'' table to name and adjust each factor of your design. Add or remove factors using the toolbar buttons. Once a factor is added to the table you can click in each field of the table to adjust a particular value. If you adjust the ''' | Use the ''Factors'' table to name and adjust each factor of your design. Add or remove factors using the toolbar buttons. Once a factor is added to the table you can click in each field of the table to adjust a particular value. If you adjust the '''Levels''', '''Min''', or '''Max''' the Factor Categories table will immediately update. The '''Categorical''' column indicates whether each factor is numerical or categorical. | ||
When a factor is numerical, the category values can be either automatically generated as linearly spaced values using the '''min''' and '''max''' settings, or manually selected (for example, to set non-linear spacing when using 3 or more levels) by editing the factor category table directly. | When a factor is numerical, the category values can be either automatically generated as linearly spaced values using the '''min''' and '''max''' settings, or manually selected (for example, to set non-linear spacing when using 3 or more levels) by editing the factor category table directly. | ||
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===Menu Bar=== | ===Menu Bar=== | ||
Adjust the Design and Interactions (One, Two, or Three term) from the window menu bar. Supported design types include: | Adjust the Design and Interactions (One, Two, or Three term) from the window menu bar. | ||
Supported design types include: | |||
* Full Factorial | * Full Factorial | ||
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* Face-Centered CCD (3 Level) | * Face-Centered CCD (3 Level) | ||
===Design Statistics=== | ===Design Statistics=== | ||
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# Number of Center Points | # Number of Center Points | ||
If an error occurs while creating the DOE information about the error is displayed here. Information is automatically updated as you adjust the factor table so an error may display until you add additional factors | If an error occurs while creating the DOE information about the error is displayed here. Information is automatically updated as you adjust the factor table, so an error may display until you add additional factors, for example. | ||
===Response Table=== | ===Response Table=== | ||
Use the ''Response'' table to add, remove, and name response variables. These variables are included as columns in the run sheet. | Use the ''Response'' table to add, remove, and name response variables. These variables are included as columns in the run sheet. They are also used when automatically creating a Y-Block Response DataSet when analyzing the DOE in the [[Analysis_of_DOE_Results|Analysis Window]]. | ||
===Run Sheet=== | ===Run Sheet=== | ||
Clicking the ''Run Sheet'' button will open the DOE as an HTML table in a new window. From this window the run sheet can be saved to file. | Clicking the ''Run Sheet'' button will open the DOE as an HTML table in a new window. From this window the run sheet can be reviewed, saved to file and subsequently printed. | ||
Revision as of 10:25, 4 November 2011
Experiment Designer Window
The Experiment Designer can be launched from the Workspace Browser under the Tools section or from the command line as doegui. A default design will appear with a single factor and single response variable. Use the toolbar buttons and the tables to create and modify your design. For more information about design types see doegen. When the design is complete, the toolbar button can be used to send it to the Analysis window for mlr analysis. Within Analysis, a corresponding Y-Block (response DataSet) can be automatically created and the results analyzed using MLR or ANOVA.
- Experiment Designer:
Factor and Category Tables
Use the Factors table to name and adjust each factor of your design. Add or remove factors using the toolbar buttons. Once a factor is added to the table you can click in each field of the table to adjust a particular value. If you adjust the Levels, Min, or Max the Factor Categories table will immediately update. The Categorical column indicates whether each factor is numerical or categorical.
When a factor is numerical, the category values can be either automatically generated as linearly spaced values using the min and max settings, or manually selected (for example, to set non-linear spacing when using 3 or more levels) by editing the factor category table directly.
When a factor is categorical, default alphabetical values are added to the category table and can be edited directly assigning names which are specific to the factor being defined.
Toolbar
Toolbar buttons include the following actions:
- Open Workspace - Open or bring forward the workspace browser.
- Recalculate - Regenerate and or re-randomize the DOE.
- Add Factor - Add a factor to the Factor Table.
- Remove Factor - Remove currently selected factor from Factor Table.
- Send to MLR - Send current DOE dataset to the Analysis window preset to MLR analysis mode.
- Design - Drop-down menu for selecting a design (see design types below).
- Plot DOE Data - Open raw DOE DataSet in a Plot Controls window.
- Show Confusion - Open a confusion matrix table (if using a fraction design).
- Leverage Plot - Open a leverage plot.
Menu Bar
Adjust the Design and Interactions (One, Two, or Three term) from the window menu bar.
Supported design types include:
- Full Factorial
- 1/2 Fractional Factorial (2 Level)
- 1/4 Fractional Factorial (2 Level)
- 1/8 Fractional Factorial (2 Level)
- 1/16 Fractional Factorial (2 Level)
- Box-Behnken (3 Level)
- Spherical CCD (5 Level)
- Face-Centered CCD (3 Level)
Design Statistics
This panel shows the current statistics for the DOE including:
- Design Type
- Number of Factors
- Interactions
- Total Number of Experiments
- Number of Center Points
If an error occurs while creating the DOE information about the error is displayed here. Information is automatically updated as you adjust the factor table, so an error may display until you add additional factors, for example.
Response Table
Use the Response table to add, remove, and name response variables. These variables are included as columns in the run sheet. They are also used when automatically creating a Y-Block Response DataSet when analyzing the DOE in the Analysis Window.
Run Sheet
Clicking the Run Sheet button will open the DOE as an HTML table in a new window. From this window the run sheet can be reviewed, saved to file and subsequently printed.